{"name": "azure overview", "versions": {"navigator": "4.8.0", "layer": "4.4", "attack": "16.1"}, "sorting": 3, "description": "azure heatmap overview of azure mappings, scores are the number of associated entries", "domain": "enterprise-attack", "techniques": [{"techniqueID": "T1036", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal to partial coverage of a minority of this technique's sub-techniques and a minority of its procedure examples, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only addresses a minority of this technique's procedure examples and one of its sub-techniques resulting in an overall Minimal score."}]}, {"techniqueID": "T1003", "score": 5, "comment": " Related to: \n \u2022alerts_for_linux_machines\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify one of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Most credential dumping operations do not require modifying resources that can be detected by this control (i.e. Registry and File system) and therefore its coverage is minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control is only relevant for Linux environments, and provides partial coverage for one of the technique's two Linux-relevant sub-techniques."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides detection for a minority of this technique's sub-techniques and procedure examples  resulting in a Minimal Coverage score and consequently an overall score of Minimal.  Furthermore, its detection capability relies on detecting the usage of specific tools (e.g. sqldumper.exe) further adversely impacting  its score."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only addresses a minority of this technique's procedure examples and one  of its sub-techniques resulting in an overall Minimal score."}]}, {"techniqueID": "T1003.001", "score": 3, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which contains an implementation of Mimikatz to gather credentials from memory, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to detect the Windows Security Support Provider (SSP) DLLs variation of this sub-technique by monitoring the Registry keys used to register these DLLs.  These keys should change infrequently and therefore false positives should be minimal. "}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via the Exfiltration modules, but does not address other procedures, and temporal factor is unknown, so score is Minimal."}]}, {"techniqueID": "T1016", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can acquire network configuration information including DNS servers and network proxies used by a host, but does not address other procedures."}]}, {"techniqueID": "T1016.001", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Microsoft Sentinel's ability to detect entities scanning the network configuration also covers the scanning of internet connections, providing a detection mechanism against this technique."}]}, {"techniqueID": "T1018", "score": 2, "comment": " Related to: \n \u2022azure_firewall\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"High reverse DNS count by host\" and \"Squid malformed requests\" queries can indicate potentially malicious reconnaissance aimed at detecting network layout and the presence of network security devices.\nThe Microsoft Sentinel Analytics \"Several deny actions registered\" query can identify patterns in Azure Firewall incidents, potentially indicating that an adversary is scanning resources on the network, at a default frequency of once per hour. Note that detection only occurs if the firewall prevents the scanning. The Microsoft Sentinel Analytics \"Rare client observed with high reverse DNS lookup count\" query can detect when a particular IP address performs an unusually high number of reverse DNS lookups and has not been observed doing so previously. The coverage for these queries is minimal resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control typically filters external network traffic and therefore can be effective for preventing external remote system discovery but such activity originating from inside the trusted network is not mitigated.  Due to this partial protection coverage, it has been scored as Partial protection."}]}, {"techniqueID": "T1021", "score": 6, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022alerts_for_linux_machines\n\u2022azure_network_security_groups\n\u2022docker_host_hardening\n\u2022microsoft_sentinel\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal to partial coverage for some of this technique's sub-techniques, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against abuse of remote services."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control is only relevant for Linux environments. Among the sub-techinques that are relevant for Linux, this control may only alert on SSH."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial protection for all of its sub-techniques and procedure examples resulting in an overall score of Partial."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic or attempts related to network security group (NSG) for remote services."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against abuse of remote services."}]}, {"techniqueID": "T1021.001", "score": 4, "comment": " Related to: \n \u2022azure_policy\n\u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"anomalous RDP Activity\" query can detect potential lateral\nmovement employing RDP.\n\nThe following Microsoft Sentinel Analytics queries can identify potentially malicious use\nof RDP:\n\"Anomalous RDP Login Detections\", \"Multiple RDP connections from Single Systems\",\n\"Rare RDP Connections\", and \"RDP Nesting\"."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict direct access to remote services to trusted networks.  This mitigates even an adversary with a valid account from accessing resources.  This can be circumvented though if an adversary is able to compromise a trusted host and move laterally to a protected network.  This results in an overall partial (coverage) score."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic with respect to remote access protocols and groups."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to restrict public access to Remote Desktop Protocol."}]}, {"techniqueID": "T1021.002", "score": 3, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Anomalous Resource Access\" query can identify potential lateral movement via use of valid accounts to access network shares (Windows Event 4624:3)."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict direct access to remote services to trusted networks.  This mitigates even an adversary with a valid account from accessing resources.  This can be circumvented though if an adversary is able to compromise a trusted host and move laterally to a protected network.  This results in an overall partial (coverage) score."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic with respect to remote access protocols and groups."}]}, {"techniqueID": "T1021.003", "score": 3, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can utilize Invoke-DCOM to leverage remote COM execution for lateral movement, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict direct access to remote services to trusted networks.  This mitigates even an adversary with a valid account from accessing resources.  This can be circumvented though if an adversary is able to compromise a trusted host and move laterally to a protected network.  This results in an overall partial (coverage) score."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic with respect to remote access protocols and groups."}]}, {"techniqueID": "T1021.004", "score": 6, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022alerts_for_linux_machines\n\u2022azure_network_security_groups\n\u2022docker_host_hardening\n\u2022microsoft_sentinel\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which contains modules for executing commands over SSH as well as in-memory VNC agent injection, but does not address other procedures. Microsoft Sentinel Analytics also provides a \"New internet-exposed SSH endpoints\" query.\nThe coverage for these queries is minimal resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to ensure sshd is not running within Docker containers. This can prevent attackers from utilizing unmonitored SSH servers within containers. This may not prevent attackers from installing a SSH server in containers or hosts."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alerts on SSH brute force attempts, addition of new SSH keys, and usage of a SSH server within a container. Alerts may not be generated by usage of existing SSH keys by malicious actors for lateral movement."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict direct access to remote services to trusted networks.  This mitigates even an adversary with a valid account from accessing resources.  This can be circumvented though if an adversary is able to compromise a trusted host and move laterally to a protected network.  This results in an overall partial (coverage) score."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic with respect to remote access protocols and groups."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to restrict public SSH access and enable usage of SSH keys. "}]}, {"techniqueID": "T1027", "score": 5, "comment": " Related to: \n \u2022alerts_for_linux_machines\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022microsoft_antimalware_for_azure\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can obfuscate commands using Invoke-Obfuscation, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides detection coverage for the Compile After Delivery sub-technique while not providing detection for all other sub-techniques relevant to the Linux platform or most of its procedure examples. As a result of this minimal coverage, the overall score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may detect usage of VBScript.Encode and base-64 encoding to obfuscate malicious commands and scripts. The following alerts may be generated: \"Detected suspicious execution of VBScript.Encode command\", \"Detected encoded executable in command line data\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only covers one platform and procedure for one of this technique's sub-techniques, resulting in a Minimal score."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can detect file obfuscation."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can prevent file obfuscation."}]}, {"techniqueID": "T1036.004", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Exes with double file extension and access summary\" can identify malicious executable files that have been hidden as other file types."}]}, {"techniqueID": "T1036.005", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Masquerading Files\" and \"Rare Process Path\" queries can detect an adversary attempting to make malicious activity blend in with legitimate commands and files. The Microsoft Sentinel Hunting \"Azure DevOps Display Name Changes\" query can detect potentially maliicous changes to the DevOps user display name."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control analyzes host data to detect processes with suspicious names, including those named in a way that is suggestive of attacker tools that try to hide in plain sight. False positives are probable, and temporal factor is unknown."}]}, {"techniqueID": "T1040", "score": 7, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022azure_vpn_gateway\n\u2022azure_policy\n\u2022docker_host_hardening\n\u2022microsoft_sentinel\n\u2022azure_key_vault\n\u2022azure_private_link", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can be used to conduct packet capture on target hosts, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may recommend usage of TLS to encrypt communication between the Docker daemon and clients. This can prevent possible leakage of sensitive information through network sniffing. "}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's recommendations related to enforcing the usage of the secure versions of the HTTP and FTP protocols (HTTPS and FTPS) can lead to encrypting traffic which reduces the ability for an adversary to gather sensitive data via network sniffing.  \nThis also applies to the \"Service Fabric clusters should have the ClusterProtectionLevel property set to EncryptAndSign\", \"Enforce SSL connection should be enabled for MySQL database servers\", \"Enforce SSL connection should be enabled for PostgreSQL database servers\", \"Only secure connections to your Redis Cache should be enabled\" and \"Secure transfer to storage accounts should be enabled\" recommendations for their respective protocols.\nThe \"Usage of host networking and ports should be restricted\" recommendation for Kubernetes clusters can also lead to mitigating this technique.\nThese recommendations are limited to specific technologies on the platform and therefore its coverage score is Minimal."}, {"divider": true}, {"name": "control", "value": "azure_key_vault"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides secure methods for accessing secrets and passwords. This can reduce the incidences of credentials and other authentication material being transmitted in plain text or by insecure encryption methods. Any communication between applications or endpoints after access to Key Vault may not be secure."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to enable various Azure services that route traffic through secure networks, segment all network traffic, and enable TLS encryption where available."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control reduces the likelihood of a network sniffing attack for traffic between remote users, cloud, and 3rd parties by routing the traffic via the Microsoft backbone rather than over the Internet."}, {"divider": true}, {"name": "control", "value": "azure_vpn_gateway"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control encrypts traffic traversing over untrusted networks which can prevent information from being gathered via network sniffing."}]}, {"techniqueID": "T1041", "score": 2, "comment": " Related to: \n \u2022azure_dns_analytics\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can send data gathered from a target through a command and control channel, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "azure_dns_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can potentially be used to forensically identify exfiltration via a DNS-based C2 channel."}]}, {"techniqueID": "T1046", "score": 5, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_firewall\n\u2022azure_network_security_groups\n\u2022microsoft_sentinel\n\u2022azure_web_application_firewall", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"High count of connections by client IP on many ports\" query can detect when a given client IP has 30 or more ports used within a 10 minute window, which may indicate malicious scanning. The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect scanning via Empire, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control typically filters external network traffic and therefore can be effective for preventing external network service scanning but network service scanning originating from inside the trusted network is not mitigated.  Due to this partial protection coverage, it has been scored as Partial protection."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict access to trusted networks."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can detect network service scanning/discovery activity."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect network service scanning of web applications by an adversary. Because this detection is specific to web applications (although frequent targets) and not other application types enumerated in the procedure examples of this technique (e.g. Active Directory), it has been scored as Partial."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect web applications from network service scanning by an adversary. Because this protection is specific to web applications (although frequent targets) and not other application types enumerated in the procedure examples of this technique (e.g. Active Directory), it has been scored as Partial."}]}, {"techniqueID": "T1047", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Gain Code Execution on ADFS Server via Remote WMI Execution\" query can detect use of Windows Managemement Instrumentation on ADFS servers. The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect WMI use via Empire, but does not address other procedures.\nThe coverage for these queries is minimal (specific to ADFS and Empire) resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this technique via the Invoke-WmiCommand module, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1048", "score": 7, "comment": " Related to: \n \u2022azure_dns_analytics\n\u2022azure_network_watcher_traffic_analytics\n\u2022azure_firewall\n\u2022azure_network_security_groups\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022alerts_for_dns", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal coverage for a minority of this technique's sub-techniques and does not cover all procedure examples, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_dns"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Can detect anomalous use of DNS.  Because this detection is specific to DNS, its coverage score is Minimal resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques and procedure examples resulting in a Minimal Coverage score and consequently an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "azure_dns_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify anomalous / high talker DNS clients, possibly related to exfil via DNS"}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial protection for this technique's sub-techniques and some of its procedure examples resulting in an overall Partial score."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "NSG can minimize alternative protocols allowed to communicate externally."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic with respect to specific protocols/ports."}]}, {"techniqueID": "T1048.003", "score": 5, "comment": " Related to: \n \u2022azure_dns_analytics\n\u2022azure_network_watcher_traffic_analytics\n\u2022azure_firewall\n\u2022azure_network_security_groups\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potential exfiltration: \"Abnormally long DNS URI queries\" can identify potential exfiltration via DNS. \"Multiple users email forwarded to same destination\" and \"Office Mail Forwarding - Hunting Version\" can detect potential exfiltration via email.\nThe Microsoft Sentinel Analytics \"Multiple users email forwarded to same destination\" query can detect potential exfiltration via email.  The coverage for these queries is minimal resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "azure_dns_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can potentially be used to forensically identify exfiltration via DNS protocol."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's threat intelligence-based filtering feature can be enabled to alert and deny traffic from/to known malicious IP addresses and domains. The IP addresses and domains are sourced from the Microsoft Threat Intelligence feed.  Because this protection is limited to known malicious IP addresses and domains and does not provide protection from such attacks from unknown domains and IP addresses, this is scored as partial coverage resulting in an overall Partial score."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can reduce the protocols available for data exfiltration. Temporal immediate, coverage substantial."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can identify anomalous traffic with respect specific ports (though it can't identify presence or lack of encryption)."}]}, {"techniqueID": "T1049", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can enumerate the current network connections of a host, but does not address other procedures."}]}, {"techniqueID": "T1053", "score": 4, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022file_integrity_monitoring\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal to partial coverage of a minority of this technique's sub-techniques, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can detect scheduled tasks/jobs."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can mitigate a few of the sub-techniques of this technique.  Due to its Minimal coverage, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control does not address this technique's procedure examples and only one of its sub-techniques resulting in an overall Minimal score."}]}, {"techniqueID": "T1053.003", "score": 3, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022file_integrity_monitoring\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Editing Linux scheduled tasks through Crontab\" query can detect potentially malicious modification of cron jobs."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry upon creation or modification of scheduled tasks. This control may also detect changes to files used by cron or systemd to create/modify scheduled tasks.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing the addition or modification of config files in Kubernetes containers required to implement the behaviors described in these sub-techniques.   Because this is a recommendation, and specific to Kubernetes containers, its score is assessed as Minimal."}]}, {"techniqueID": "T1053.005", "score": 3, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can interact with the Windows task scheduler, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry upon creation or modification of scheduled tasks. This control may also detect changes to files used by cron or systemd to create/modify scheduled tasks.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via the New-UserPersistenceOption Persistence module on Windows, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1055", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which contains multiple modules for injecting into processes, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection covers all relevant sub-techniques. Detection is periodic at an unknown rate."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection covers all relevant sub-techniques. The control also specifically detects process hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1056", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify two of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only covers one platform and procedure for one of this technique's sub-techniques, resulting in a Minimal score."}]}, {"techniqueID": "T1056.001", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which includes keylogging capabilities for both Windows and Linux and contains modules that leverage API hooking to carry out tasks, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via the Get-Keystrokes Exfiltration module on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1056.004", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which includes keylogging capabilities for both Windows and Linux and contains modules that leverage API hooking to carry out tasks, but does not address other procedures."}]}, {"techniqueID": "T1057", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can find information about processes running on local and remote systems, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this technique via the Get-ProcessTokenPrivilege PowerUp module on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1059", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal coverage for most of this technique's sub-techniques, along with additional mappings for its procedure examples, resulting in an overall score of Minimal.\nThe following Microsoft Sentinel Hunting queries can identify potentially malicious use of command and scripting interpreters that does not map directly to one/more sub-techniques: \"Anomalous Code Execution\" can identifyanomalous runCommand operations on virtual machines, \"Azure CloudShell Usage\" can identify potentially malicious use of CloudShell, \"New processes observed in last 24 hours\", \"Rare processes run by Service accounts\", and \"Rare Custom Script Extension\" can identify execution outliers that may suggest misuse.\nThe following Microsoft Sentinel Analytics queries can identify potentially malicious use of command and scripting interpreters that does not map directly to one/more sub-techniques: \"New CloudShell User\" can identify potentially malicious use of CloudShell, \"Rare and Potentially high-risk Office operations\" can identify specific rare mailbox-related  ccount and permission changes via execution."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on suspicious Unix shell and PHP execution. Mismatched script extensions may also generate alerts of suspicious activity. Only one of the technique's sub-techniques is covered, resulting in a score of Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques resulting in a Minimal Coverage score and consequently an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal detection for this technique's procedure examples and only two of its sub-techniques (only certain specific sub-technique behaviors), resulting in a Minimal score."}]}, {"techniqueID": "T1059.001", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can identify use of Empire, which leverages PowerShell for the majority of its client-side agent tasks and can conduct PowerShell remoting.  The coverage for these queries is minimal (specific to Empire) resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control may detect suspicious usage of PowerShell and the Windows command line. These detections include usage of suspicious arguments, dynamic script construction, and shellcode on the commandline. The following alerts may be generated: \"Detected anomalous mix of upper and lower case characters in command-line\", \"Detected encoded executable in command line data\", \"Detected obfuscated command line\", \"Detected  suspicious combination of HTA and PowerShell\", \"Detected suspicious commandline arguments\", \"Detected suspicious commandline used to start all executables in a directory\", \"Detected suspicious credentials in commandline\", \"Dynamic PS script construction\", \"Suspicious  PowerShell Activity Detected\", \"Suspicious PowerShell cmdlets executed\", \"Suspicious command execution\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control monitors for execution of known malicious PowerShell PowerSploit cmdlets. Temporal factor is uknown."}]}, {"techniqueID": "T1059.003", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Cscript script daily summary breakdown\" can detect potentially malicious scripting. The Microsoft Sentinel Hunting \"Hosts running a rare process with commandline\" query can identify uncommon command shell usage that may be malicious.\nThe Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can identify use of Empire, which has modules for executing Windows Command Shell scripts. The Microsoft Sentinel Analytics \"Base64 encoded Windows process command-lines\" query can identify Base64 encoded PE files being launched via the command line."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control may detect suspicious usage of PowerShell and the Windows command line. These detections include usage of suspicious arguments, dynamic script construction, and shellcode on the commandline. The following alerts may be generated: \"Detected anomalous mix of upper and lower case characters in command-line\", \"Detected encoded executable in command line data\", \"Detected obfuscated command line\", \"Detected  suspicious combination of HTA and PowerShell\", \"Detected suspicious commandline arguments\", \"Detected suspicious commandline used to start all executables in a directory\", \"Detected suspicious credentials in commandline\", \"Dynamic PS script construction\", \"Suspicious  PowerShell Activity Detected\", \"Suspicious PowerShell cmdlets executed\", \"Suspicious command execution\"."}]}, {"techniqueID": "T1059.004", "score": 3, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Rare process running on a Linux host\" query can identify uncommon shell usage that may be malicious."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on suspicious commandline activity. Alerts may be generated on possible detection of shellcode usage on the commandline, based on arguments, location, user, etc."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control monitors host data for potential reverse shells used for command and control. Temporal factor is unknown."}]}, {"techniqueID": "T1059.005", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Cscript script daily summary breakdown\" can detect potentially malicious scripting. The Microsoft Sentinel Hunting \"Hosts running a rare process with commandline\" query can identify uncommon command shell usage that may be malicious."}]}, {"techniqueID": "T1059.006", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Cscript script daily summary breakdown\" can detect potentially malicious scripting. The Microsoft Sentinel Hunting \"Hosts running a rare process with commandline\" query can identify uncommon command shell usage that may be malicious."}]}, {"techniqueID": "T1059.007", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Cscript script daily summary breakdown\" can detect potentially malicious scripting. The Microsoft Sentinel Hunting \"Hosts running a rare process with commandline\" query can identify uncommon command shell usage that may be malicious."}]}, {"techniqueID": "T1068", "score": 12, "comment": " Related to: \n \u2022defender_for_azure_sql_databases\n\u2022defender_for_containers\n\u2022ai_security_recommendations\n\u2022defender_for_resource_manager\n\u2022vulnerability_management\n\u2022alerts_for_linux_machines\n\u2022docker_host_hardening\n\u2022alerts_for_windows_machines\n\u2022microsoft_sentinel\n\u2022azure_policy\n\u2022azure_update_manager\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can exploit known system vulnerabilities, but does not explicitly address other procedures."}, {"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations on how to reduce the surface area and mechanisms by which an attacker could escalate privileges. "}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Container with privilege escalation should be avoided\", \"Least privileged Linux capabilities should be enforced for containers\", \"Privileged containers should be avoided\", \"Running containers as root user should be avoided\" and \"Containers sharing sensitive host namespaces should be avoided\" recommendations can make it difficult for adversaries to advance their operation through exploitation of undiscovered or unpatched vulnerabilities.  Because this is a recommendation, the assessed score has been capped at Partial."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on suspicious arguments used to exploit Xorg vulnerabilities for privilege escalation."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate. The following alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations for vulnerability assessment and outdated applications and cloud services. This control covers a wide range of Azure cloud services to help reduce the surface area for exploitation."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control provides significant coverage of methods that leverage vulnerabilities in unpatched software since it enables automated updates of software and rapid configuration change management"}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate."}, {"divider": true}, {"name": "control", "value": "defender_for_azure_sql_databases"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may scan for users with unnecessary permissions and if SQL Server is out of date. "}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to avoid privileged containers and running containers as root."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on detection of new privileged containers and high privilege roles."}, {"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on escalation attempts from Azure AD to Azure accounts by  specific exploitation toolkits. Consequently, its Coverage score is Minimal  resulting in an overall Minimal score. The following alerts may be generated: \"PowerZure exploitation toolkit used to elevate access from Azure AD to Azure\"."}, {"divider": true}, {"name": "control", "value": "vulnerability_management"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Once this control is deployed, it can detect known vulnerabilities in Windows and various Linux endpoints. This information can be used to patch, isolate, or remove vulnerable software and machines. This control does not directly protect against exploitation and it is not effective against zero day attacks, vulnerabilities with no available patch, and software that may not be analyzed by the scanner. As a result, the score is capped at Partial."}]}, {"techniqueID": "T1069", "score": 2, "comment": " Related to: \n \u2022defender_for_resource_manager\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal coverage for one of this technique's sub-techniques and only minimal coverage for its procedure examples, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on Azure domain cloud groups discovery activity but may not provide alerts for other account types or undocumented exploitation toolkits.  Consequently, its Coverage  score is Minimal resulting in an overall Minimal score."}]}, {"techniqueID": "T1069.001", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Enumeration of users and groups\" query can identify potentially malicious group discovery through the use of the net tool."}]}, {"techniqueID": "T1069.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Enumeration of users and groups\" query can identify potentially malicious group discovery through the use of the net tool."}]}, {"techniqueID": "T1070", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_containers\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides specific minimal coverage for two of this technique's sub-techniques, without additional coverage of its procedure examples, resulting in an overall score of Minimal.\nThe Microsoft Sentinel Analytics \"Azure DevOps Agent Pool Created Then Deleted\" query can detect specific suspicious activity for DevOps Agent Pool. This is close to this technique's File Deletion sub-technique, but not a complete match."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control is only relevant for Linux environments and provides partial coverage for multiple Linux-relevant sub-techniques."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques and procedure examples  resulting in a Minimal Coverage score and consequently an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on deletion of Kubernetes events. Attackers might delete those events for hiding their operations in the cluster. There is no relevant sub-technique for this control but the parent applies."}]}, {"techniqueID": "T1070.001", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Security Event Log Cleared\" query can detect clearing of the security event logs, though not necessarily clearing of any arbitrary Windows event logs."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect when an event log has been cleared or IIS logs have been deleted. The following alerts may be generated: \"Detected actions indicative of disabling and deleting IIS log files\", \"An event log was cleared\"."}]}, {"techniqueID": "T1070.006", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Windows System Time changed on hosts\" query can detect potential timestomping activities.\nThe Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can identify use of Empire, which can timestomp files and/or payloads on a target machine to help them blend in."}]}, {"techniqueID": "T1071", "score": 7, "comment": " Related to: \n \u2022azure_dns_analytics\n\u2022azure_network_watcher_traffic_analytics\n\u2022azure_policy\n\u2022microsoft_sentinel\n\u2022azure_web_application_firewall\n\u2022alerts_for_azure_network_layer\n\u2022alerts_for_dns", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Malformed user agent\" query can detect potential C2 or C2 agent activity.\nThis control provides minimal to partial coverage for a minority of this technique's sub-techniques and only some of its procedure examples, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify connections to known malicious sites. Scored minimal since the malicious sites must be on block list. "}, {"divider": true}, {"name": "control", "value": "alerts_for_dns"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Can detect potential DNS protocol misuse/anomalies. Technique coverage is restricted to DNS and therefore results in a Minimal score."}, {"divider": true}, {"name": "control", "value": "azure_dns_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can be used forensically to identify clients that communicated with identified C2 hosts via DNS."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can identify anomalous traffic with respect to NSG and application layer protocols."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against command and control via application layer protocol."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can detect one of the sub-techniques of this technique while not providing detection for the remaining, resulting in a Minimal overall score."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against one of the sub-techniques of this technique while not providing protection for the remaining, resulting in a Minimal overall score."}]}, {"techniqueID": "T1071.001", "score": 3, "comment": " Related to: \n \u2022azure_web_application_firewall\n\u2022alerts_for_azure_network_layer\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The following Microsoft Sentinel Analytics queries can identify potentially malicious use of web protocols: \"Powershell Empire cmdlets seen in command line\" can identify use of Empire, which can perform command and control over protocols like HTTP and HTTPS. \"Request for single resource on domain\" can identify patterns that suggest possible command and control beaconing.  The coverage for these queries is minimal resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify connections to known malicious sites. Scored minimal since the malicious sites must be on a block list. "}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect protocol attacks targeting web applications that may be indicative of adversary activity."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect web applications from protocol attacks that may be indicative of adversary activity."}]}, {"techniqueID": "T1071.004", "score": 6, "comment": " Related to: \n \u2022azure_dns_analytics\n\u2022azure_network_watcher_traffic_analytics\n\u2022azure_policy\n\u2022microsoft_sentinel\n\u2022alerts_for_azure_network_layer\n\u2022alerts_for_dns", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potentially malicious use of DNS: \"RareDNSLookupWithDataTransfer\" [sic] can identify data transfer over DNS, though it is contingent on DNS traffic meeting the requirements to be considered rare. \"Abnormally Long DNS URI queries\" can identify suspicious DNS queries that may be indicative of command and control operations. \"DNS - domain anomalous lookup increase\", \"DNS Full Name anomalous lookup increase\", and \"DNS lookups for commonly abused TLDs\" can identify increases in domain lookups for a client IP and indicate malicious traffic or exfiltration of sensitive data."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify connections to known malicious sites. Scored minimal since the malicious sites must be on a block list. "}, {"divider": true}, {"name": "control", "value": "alerts_for_dns"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Can alert on anomalies and misuse of the DNS protocol."}, {"divider": true}, {"name": "control", "value": "azure_dns_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can be used forensically to identify clients that communicated with identified C2 hosts."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous application protocol traffic with respect to network security group (NSG) (though web traffic would be typically too commonplace for this control to be useful)."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to enable Azure Defender for DNS which can monitor DNS queries between Azure applications for malicious traffic."}]}, {"techniqueID": "T1074", "score": 2, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to mitigating a sub-technique of this technique by preventing modification of the local filesystem.  Due to it being a recommendation, its score is capped at Partial."}]}, {"techniqueID": "T1074.001", "score": 2, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Malware in the recycle bin\" query can detect local hidden malware."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to mitigating this sub-technique by preventing modification of the local filesystem.  Due to it being a recommendation, its score is capped at Partial."}]}, {"techniqueID": "T1078", "score": 9, "comment": " Related to: \n \u2022defender_for_azure_sql_databases\n\u2022advanced_threat_protection_for_azure_sql_database\n\u2022alerts_for_azure_cosmos_db\n\u2022ai_security_recommendations\n\u2022defender_for_storage\n\u2022azure_policy\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022azure_role_based_access_control", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial coverage for all of this technique's sub-techniques and a number of its procedures, resulting in an overall score of Partial."}, {"divider": true}, {"name": "control", "value": "defender_for_storage"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal detection for its procedure examples.  Additionally, it is able to detect only one of its sub-techniques (Cloud Accounts) resulting in a Minimal Coverage score and consequently an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "advanced_threat_protection_for_azure_sql_database"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides alerts for a set of Azure database offerings. Databases that have been deployed to endpoints within Azure or third-party databases deployed to Azure do not generate alerts for this control."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's recommendations about removing deprecated and external accounts with sensitive permissions from your subscription can lead to mitigating the Cloud Accounts sub-technique of this technique.  Because this is a recommendation and has low coverage, it is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_cosmos_db"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to the Cosmos DB and therefore provides minimal overall detection coverage for Valid Accounts resulting in a Minimal score. A relevant alert is \"Access from an unusual location to a Cosmos DB account\"."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control is able to detect some of this technique's sub-techniques resulting in a Partial Coverage score and consequently an overall score of Partial. "}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against abuse of valid accounts."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides protection for one of this technique's sub-techniques while not providing any protection for its procedure examples (due to being specific to Azure AD) nor its remaining sub-technqiues.  Consequently its coverage score factor is Minimal, resulting in a Minimal score."}, {"divider": true}, {"name": "control", "value": "defender_for_azure_sql_databases"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against abuse of valid accounts."}]}, {"techniqueID": "T1078.001", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_azure_sql_databases\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Rare processes run by Service accounts\" query can identify potential misuse of default accounts. Because this detection is specific to rare processes its coverage score is Minimal resulting in a Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect suspicious activity from existing Windows accounts and logons from suspicious IP addresses. The following alerts may be generated: \"A logon from a malicious IP has been detected\", \"A logon from a malicious IP has been detected.  [seen multiple times]\"."}, {"divider": true}, {"name": "control", "value": "defender_for_azure_sql_databases"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to disable default accounts and restrict permissions for existing accounts."}]}, {"techniqueID": "T1078.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potential compromise of domain accounts based on access attempts and/or account usage: \"Suspicious Windows Login outside normal hours\", \"User account added or removed from  security group by an unauthorized user\", \"User Account added to Built in Domain Local or Global Group\", \"User Login IP Address Teleportation\", \"User made Owner of multiple teams\", \"Tracking Privileged Account Rare Activity\", \"New Admin account activity which was not seen historically\", \"New client running queries\", \"New users running queries\", \"Non-owner mailbox login activity\", \"Powershell or non-browser mailbox login activity\", \"Rare User Agent strings\", \"Same IP address with multiple csUserAgent\" which may indicate that an account is being used from a new device, \"Rare domains seen in Cloud Logs\" when accounts from uncommon domains access or attempt to access cloud resources, \"Same User - Successful logon for a given App and failure on another App within 1m and low distribution\", \"Hosts with new logons\", \"Inactive or new account signins\", \"Long lookback User Account Created and Deleted within 10mins\", \"Anomalous Geo Location Logon\", and \"Anomalous Sign-in Activity\".\nThe following Microsoft Sentinel Analytics queries can identify potential compromise of domain accounts based on access attempts and/or account usage: \"Anomalous User Agent connection attempt\", \"New UserAgent observed in last 24 hours\" which may indicate that an account is being used from a new device, \"Anomalous sign-in location by user account and authenticating application\", \"Anomalous login followed by Teams action\", \"GitHub Signin Burst from Multiple Locations\", \"Sign-ins from IPs that attempt sign-ins to disabled accounts\", \"Failed Host logons but success logon to AzureAD\", and \"Anomalous RDP Login Detections\"."}]}, {"techniqueID": "T1078.003", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potential compromise of local accounts based on access attempts and/or account usage: \"Suspicious Windows Login outside normal hours\", \"User Login IP Address Teleportation\", \"User account added or removed from a security group by an unauthorized user\", \"User Account added to Built in Domain Local or Global Group\", \"User added to SQL Server SecurityAdmin Group\", \"User Role altered on SQL Server\", \"User made Owner of multiple teams\", \"Tracking Privileged Account Rare Activity\", and \"Anomalous Login to Devices\".\nThe following Microsoft Sentinel Analytics queries can identify potential compromise of local accounts based on access attempts and/or account usage: \"User account enabled and disabled within 10 mins\", \"Long lookback User Account Created and Deleted within 10mins\", \"Explicit MFA Deny\", \"Hosts with new logons\", \"Inactive or new account signins\", \"Anomalous SSH Login Detection\", and \"Anomalous RDP Login Detections\"."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect suspicious activity from existing Windows accounts and logons from suspicious IP addresses. The following alerts may be generated: \"A logon from a malicious IP has been detected\", \"A logon from a malicious IP has been detected.  [seen multiple times]\"."}]}, {"techniqueID": "T1078.004", "score": 7, "comment": " Related to: \n \u2022advanced_threat_protection_for_azure_sql_database\n\u2022alerts_for_azure_cosmos_db\n\u2022ai_security_recommendations\n\u2022defender_for_storage\n\u2022azure_policy\n\u2022microsoft_sentinel\n\u2022azure_role_based_access_control", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potential compromise of cloud accounts: \"New Admin account activity which was not seen historically\", \"New client running queries\", \"New users running queries\", \"User returning more data than daily average\", \"User Login IP Address Teleportation\", \"Non-owner mailbox login activity\", \"Powershell or non-browser mailbox login activity\", \"Rare User Agent strings\" and \"Same IP address with multiple csUserAgent\" which may indicate that an account is being used from a new device, \"Rare domains seen in Cloud Logs\", \"Same User - Successful logon for a given App and failure on another App within 1m and low distribution\", \"Anomalous Azure Active Directory Apps based on authentication location\", \"Anomalous Geo Location Logon\", \"Anomalous Sign-in Activity\", \"Azure Active Directory sign-in burst from multiple locations\", and \"Azure Active Directory signins from new locations\".\n\nThe following Microsoft Sentinel Analytics queries can identify potential compromise of cloud accounts: \"Anomalous User Agent connection attempt\" and \"New UserAgent observed in last 24 hours\", which may indicate that an account is being used from a new device which may belong to an adversary; \"Anomalous sign-in location by user account and authenticating application\", \"GitHub Signin Burst from Multiple Locations\", \"GitHub Activites from a New Country\", and \"Sign-ins from IPs that attempt sign-ins to disabled accounts\", which may indicate adversary access from atypical locations; \"Azure Active Directory PowerShell accessing non-AAD resources\", \"Anomalous login followed by Teams action\", \"Login to AWS management console without MFA\", and \"Azure Active Directory PowerShell accessing non-AAD resources\" which may indicate an adversary attempting to use a valid account to access resources from other contexts. The \"Correlate Unfamiliar sign-in properties\" query can further enhance detection of anomalous activity."}, {"divider": true}, {"name": "control", "value": "defender_for_storage"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control may generate alerts based on unfamiliar or suspicious IP addresses, TOR exit node, and anonymous access. "}, {"divider": true}, {"name": "control", "value": "advanced_threat_protection_for_azure_sql_database"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on logon events that are suspicious. This includes logins from unusual locations, logins from suspicious IP addresses, and users that do not commonly access the resource. These alerts may limit the ability of an attacker to utilize a valid cloud account to access and manipulate Azure databases. "}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Deprecated accounts should be removed from your subscription\" and \"Deprecated accounts with owner permissions should be removed from your subscription\" recommendation can lead to removing accounts that should not be utilized from your subscriptions thereby denying adversaries the usage of these accounts to find ways to access your data without being noticed.  \nLikewise, the recommendations related to External account permissions can also mitigate this sub-technique.\nBecause these are recommendations and only limited to deprecated and external accounts, this is scored as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_cosmos_db"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control triggers an alert when there is a change in the access pattern to an Azure Cosmos account based on access from an unusual geographical location. False positives are fairly likely and misuse from a typical location is not covered, so score is Minimal. Relevant alert is \"Access from an unusual location to a Cosmos DB account\""}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to audit and restrict privileges on Azure cloud accounts. This control may provide information to reduce surface area for privileged access to Azure."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit what an adversary can do with a valid account."}]}, {"techniqueID": "T1080", "score": 3, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022defender_for_storage\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Potential Build Process Compromise\" query can detect when source code files have been modified immediately after the build process has started. The Microsoft Sentinel Analytics \"ADO Build Variable Modified by New User\" query may indicate malicious modification to the build process to taint shared content.\nThe coverage for these queries is minimal (specific to Azure DevOps) resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "defender_for_storage"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "When a file is suspected to contain malware, Security Center displays an alert and can optionally email the storage owner for approval to delete the suspicious file.  This delete response capability leads to a Response type of Eradication although it is specific to Azure Blob, Azure Files and Azure Data Lake Storage storage types resulting in an overall score of Partial."}, {"divider": true}, {"name": "control", "value": "defender_for_storage"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on upload of possible malware or executable and Azure Cloud Services Package files. These alerts are dependent on Microsoft threat intelligence and may not alert on novel or modified malware."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" and \"Usage of pod HostPath volume mounts should be restricted to a known list to restrict node access from compromised containers\" recommendations can mitigate this technique.  Due to it being a recommendation, its score is capped at Partial."}]}, {"techniqueID": "T1082", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can enumerate host information like OS, architecture, applied patches, etc., but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may detect local reconnaissance activity specific to using the systeminfo commands. The following alerts may be generated: \"Detected possible local reconnaissance activity\"."}]}, {"techniqueID": "T1083", "score": 2, "comment": " Related to: \n \u2022docker_host_hardening\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which includes modules for finding files of interest on hosts and network shares, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to ensure sensitive host system directories are not mounted in the container. "}]}, {"techniqueID": "T1087", "score": 5, "comment": " Related to: \n \u2022defender_for_resource_manager\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022azure_role_based_access_control\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides specific forms of minimal coverage for half of this technique's sub-techniques, but does not address other procedures, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial detection for some of this technique's sub-techniques and procedure examples resulting in a Partial Coverage score and consequently an overall score of Partial."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides protection for one of this technique's sub-techniques while not providing any protection for its procedure examples nor its remaining sub-technqiues and therefore its coverage score factor is Minimal, resulting in a Minimal score."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only covers one platform and procedure for one of this technique's sub-techniques, and minimal coverage of its procedure examples resulting in a Minimal overall score."}, {"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on Azure cloud account discovery activity but may not provide alerts for other account types or undocumented exploitation toolkits. Consequently, its Coverage  score is Minimal resulting in an overall Minimal score."}]}, {"techniqueID": "T1087.001", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Enumeration of users and groups\" query can identify potentially malicious account discovery through the use of the net tool.\nThe Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can acquire local and domain user account information, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect when the local administrators group is enumerated or when mulitiple domain accounts are queried. The following alerts may be generated: \"Multiple Domain Accounts Queried\", \"Local Administrators group members were enumerated\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via the Get-ProcessTokenGroup module on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1087.002", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Enumeration of users and groups\" query can identify potentially malicious account discovery through the use of the net tool.\nThe Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can acquire local and domain user account information, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect when the local administrators group is enumerated or when mulitiple domain accounts are queried. The following alerts may be generated: \"Multiple Domain Accounts Queried\", \"Local Administrators group members were enumerated\"."}]}, {"techniqueID": "T1087.003", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Mail.Read Permissions Granted to Application\" query can identify applications that may have been abused to gain access to mailboxes."}]}, {"techniqueID": "T1090", "score": 4, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups\n\u2022alerts_for_dns\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal coverage for one sub-technique of this technique, resulting in an overall coverage score of Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_dns"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Can detect DNS activity to anonymity networks e.g. TOR.  Because this detection is specific to DNS, its coverage score is Minimal resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can restrict ports and inter-system / inter-enclave connections as described by the Proxy related sub-techniques although it doesn't provide protection for domain-fronting.  It furthermore provides partial protection of this technique's procedure examples resulting in an overall Partial score."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic between systems and external networks."}]}, {"techniqueID": "T1090.003", "score": 4, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022ai_threat_protection\n\u2022azure_network_security_groups\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"DNS events related to ToR proxies\" query can identify potential use of Tor, though it provides only minimal coverage because it only covers a set of common domains and is easily bypassed via hardcoded IP addresses, redirection, etc."}, {"divider": true}, {"name": "control", "value": "ai_threat_protection"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect (alert: AI.Azure_AccessFromAnonymizedIP) when an AI is accessed from a Tor network IP."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can restrict access between systems, enclaves, and workloads thereby mitigating these proxy related sub-techniques."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect abuse of multi-hop proxies."}]}, {"techniqueID": "T1098", "score": 7, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel\n\u2022azure_policy\n\u2022azure_role_based_access_control\n\u2022file_integrity_monitoring\n\u2022devops_security", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potentially malicious manipulation of accounts to increase or maintain access: \"Azure DevOps - Guest users access enabled\", \"Azure DevOps - Additional Org Admin added\", \"Anomalous Activity Role Assignment\", \"Anomalous Role Assignment\", and \"Anomalous AAD Account Manipulation\", which indicate expansion of accounts' access/privileges; \"Bots added to multiple teams\" which indicates workspace access granted to automated accounts.\nThe following Microsoft Sentinel Analytics queries can identify potentially malicious manipulation of accounts to increase or maintain access: \"Suspicious granting of permissions to an account\" from a previously unobserved IP address, \"External user added and removed in short timeframe\" for Teams resources, \"Account added and removed from privileged group\", \"User account added to built in domain local or global group\", and \"New user created and added to the built-in administrator group\". \"Multiple Password Reset by user\" can detect potentially malicious iterative password resets."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can detect account manipulation."}, {"divider": true}, {"name": "control", "value": "devops_security"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can protect against Account Manipulation by requiring DevOps best practices."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can prevent modifying the ssh_authorized keys file.  Because it is a recommendation and limited to only one sub-technique, its score is Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides partial detection for only one of this technique's sub-techniques and does not cover most of its procedure examples, resulting in a score of Minimal."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against account manipulation."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides protection for some of this technique's sub-techniques and therefore its coverage score factor is Partial, resulting in a Partial score."}]}, {"techniqueID": "T1098.001", "score": 4, "comment": " Related to: \n \u2022azure_policy\n\u2022azure_role_based_access_control\n\u2022devops_security\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"First access credential added to Application or Service Principal where no credential was present\" query can identify potentially malicious changes to Service Principal credentials.\nThe Microsoft Sentinel Analytics \"Credential added after admin consented to Application\" and \"New access credential added to Application or Service Principal\" queries can identify potentially malicious manipulation of additional cloud credentials."}, {"divider": true}, {"name": "control", "value": "devops_security"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can protect against creation of additional cloud credentials by requiring DevOps best practices."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may recommend removing deprecated accounts, reducing privileges, and enabling multi-factor authentication. This can reduce the amount of accounts available to be exploited and what could be done with those accounts."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit the number of accounts that can modify accounts."}]}, {"techniqueID": "T1102", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify one of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}]}, {"techniqueID": "T1102.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can use Dropbox and GitHub for command and control, but does not address other procedures."}]}, {"techniqueID": "T1105", "score": 5, "comment": " Related to: \n \u2022defender_for_storage\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022microsoft_antimalware_for_azure\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Crypto currency miners EXECVE\" query can detect cryptocurrency mining software downloads through EXECVE.\nThe following Microsoft Sentinel Analytics queries can identify potentiall malicious tool transfer: \"Linked Malicious Storage Artifacts\" may identify potential adversary tool downloads that are missed by anti-malware. \"Powershell Empire cmdlets seen in command line\" detects downloads via Empire. \"New executable via Office FileUploaded Operations\" can identify ingress of malicious code and attacker tools to Office services such as SharePoint and OneDrive, but with potential for high false positive rates from normal user upload activity."}, {"divider": true}, {"name": "control", "value": "defender_for_storage"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "When a file is suspected to contain malware, Security Center displays an alert and can optionally email the storage owner for approval to delete the suspicious file.  This delete response capability leads to a Response type of Eradication although it is specific to Azure Blob, Azure Files and Azure Data Lake Storage storage types resulting in an overall score of Partial."}, {"divider": true}, {"name": "control", "value": "defender_for_storage"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on upload of possible malware or executable and Azure Cloud Services Package files. These alerts are dependent on Microsoft threat intelligence and may not alert on novel or modified malware."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect usage of malware droppers and creation of suspicious files on the host machine. The following alerts may be generated: \"Detected possible execution of malware dropper\", \"Detected suspicious file creation\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control detects binary downloads via certutil, monitors for FTP access from IP addresses found in threat intelligence, monitors for references to suspicious domain names and file downloads from known malware sources, and monitors processes for downloads from raw-data websites like Pastebin. Temporal factor is unknown."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may scan created files for malware. This control is dependent on a signature being available."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may scan created files for malware and proceed to quarantine and/or delete the file. This control is dependent on a signature being available."}]}, {"techniqueID": "T1106", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which includes a variety of enumeration modules that have an option to use API calls to carry out tasks, but does not address other procedures."}]}, {"techniqueID": "T1110", "score": 9, "comment": " Related to: \n \u2022advanced_threat_protection_for_azure_sql_database\n\u2022ai_security_recommendations\n\u2022just-in-time_vm_access\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022azure_policy\n\u2022defender_for_open_source_databases\n\u2022alerts_for_azure_network_layer", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control includes partial detection coverage for most of this technique's sub-techniques on a periodic basis."}, {"divider": true}, {"name": "control", "value": "advanced_threat_protection_for_azure_sql_database"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control covers the majority of sub-techniques for this parent technique and may cover both successful and unsuccessful brute force attacks. This control only provides alerts for a set of Azure database offerings. Databases that have been deployed to endpoints within Azure or third-party databases deployed to Azure do not generate alerts for this control."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Authentication to Linux machines should require SSH keys\" recommendation can  lead to obviating SSH Brute Force password attacks.  Because this is specific to Linux, the coverage score is Minimal leading to an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can identify multiple connection attempts by external IPs, which may be indicative of Brute Force attempts, though not T1110.002, which is performed offline. It provides significant detection from most of this technique's sub-techniques and  procedure examples resulting in an overall score of Significant."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial coverage for most of this technique's sub-techniques and procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides detection for some of this technique's sub-techniques and procedure examples resulting  in a Partial Coverage score and consequently an overall score of Partial."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against brute force attacks."}, {"divider": true}, {"name": "control", "value": "defender_for_open_source_databases"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect attempted or successful brute force attacks."}, {"divider": true}, {"name": "control", "value": "just-in-time_vm_access"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can be configured to completely block inbound access to selected ports until access is requested. This prevents any attempt at brute forcing a protocol, such as RDP or SSH, unless the attacker has the credentials and permissions to request such access. Even if permission has been granted to an authorized user to access the virtual machine, a list of authorized IP addresses for that access can be configured."}]}, {"techniqueID": "T1110.001", "score": 8, "comment": " Related to: \n \u2022advanced_threat_protection_for_azure_sql_database\n\u2022ai_security_recommendations\n\u2022just-in-time_vm_access\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022azure_policy\n\u2022alerts_for_azure_network_layer", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The \"Summary of user logons by logon type\" Microsoft Sentinel Hunting query compares successful and unsuccessful logon attempts to identify potential lateral movement.\nThe following Microsoft Sentinel Hunting queries can identify potential attempts at credential brute force based on unsuccessful attempts: \"VIP account more than 6 failed logons in 10\", \"Multiple Failed Logon on SQL Server in Short time Span\", \"Permutations on logon attempts by UserPrincipalNames indicating potential brute force\", \"Potential IIS brute force\", \"Failed attempt to access Azure Portal\", \"Failed Login Attempt by Expired account\", \"Failed Logon Attempts on SQL Server\", \"Failed Logon on SQL Server from Same IPAddress in Short time Span\", \"Failed service logon attempt by user account with available AuditData\", \"Login attempt by Blocked MFA user\", \"Login spike with increase failure rate\", \"Attempts to sign-in to disabled accounts by IP address\", \"Attempts to sign-in to disabled accounts by account name\", \"Brute Force attack against Azure Portal\", and \"Anomalous Failed Logon\"\nThe following Microsoft Sentinel Analytics queries can identify potential attempts at credential brute force based on unsuccessful attempts: \"Brute force attack against Azure Portal\", \"Password spray attack against Azure AD application\", \"Successful logon from IP and failure from a different IP\", \"Failed logon attempts in authpriv\", \"Failed AzureAD logons but success logon to host\", \"Excessive Windows logon failures\", \"Failed login attempts to Azure Portal\", \"Failed logon attempts by valid accounts within 10 mins\", \"Brute Force Attack against GitHub Account\", \"Distributed Password cracking attempts in AzureAD\", \"Potential Password Spray Attack\" based on periodic assessment of Azure Active Directory sign-in events and Okta console logins, \"Attempts to sign in to disabled accounts\", \"Sign-ins from IPs that attempt sign-ins to disabled accounts\", \"High count of failed logins by a user\", \"Hi count of failed attempts same client IP\", \"SSH - Potential Brute Force\", and \"SecurityEvent - Multiple authentication failures followed by success\"."}, {"divider": true}, {"name": "control", "value": "advanced_threat_protection_for_azure_sql_database"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on repeated sign in attempts to the resource and successful logins from a suspicious location, IP address, or a user that does not commonly log in to the resource.  Because this control is specific to Azure database offerings, the detection coverage is Minimal."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Authentication to Linux machines should require SSH keys\" can obviate SSH Brute Force password attacks.  Because this is specific to Linux, the coverage score is Minimal leading to an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can identify multiple connection attempts by external IPs, which may be indicative of Brute Force attempts, though not T1110.002, which is performed offline."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on multiple successful and failed brute force attempts against SSH. There are no alerts for other methods of logging into Linux machines."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control may detect successful and failed brute force attempts with logic that factors the IP, time between attempts, and other suspicious activity. The following alerts may be generated: \"A logon from a malicious IP has been detected\", \"A logon from a malicious IP has been detected. [seen multiple times]\", \"Successful brute force attack\", \"Suspicious authentication activity\"."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to implement multi-factor authentication, implement password security policies, and replacing password authentication with more secure authentication methods. This control can affect Azure, Azure cloud application, and endpoint credentials."}, {"divider": true}, {"name": "control", "value": "just-in-time_vm_access"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can be configured to completely block inbound access to selected ports until access is requested. This prevents any attempt at brute forcing a protocol, such as RDP or SSH, unless the attacker has the credentials and permissions to request such access. Even if permission has been granted to an authorized user to access the virtual machine, a list of authorized IP addresses for that access can be configured."}]}, {"techniqueID": "T1110.003", "score": 8, "comment": " Related to: \n \u2022advanced_threat_protection_for_azure_sql_database\n\u2022ai_security_recommendations\n\u2022just-in-time_vm_access\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022azure_policy\n\u2022alerts_for_azure_network_layer", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The \"Summary of user logons by logon type\" Microsoft Sentinel Hunting query compares successful and unsuccessful logon attempts to identify potential lateral movement.\nThe following Microsoft Sentinel Hunting queries can identify potential attempts at credential brute force based on unsuccessful attempts: \"VIP account more than 6 failed logons in 10\", \"Multiple Failed Logon on SQL Server in Short time Span\", \"Permutations on logon attempts by UserPrincipalNames indicating potential brute force\", \"Potential IIS brute force\", \"Failed attempt to access Azure Portal\", \"Failed Login Attempt by Expired account\", \"Failed Logon Attempts on SQL Server\", \"Failed Logon on SQL Server from Same IPAddress in Short time Span\", \"Failed service logon attempt by user account with available AuditData\", \"Login attempt by Blocked MFA user\", \"Login spike with increase failure rate\", \"Attempts to sign-in to disabled accounts by IP address\", \"Attempts to sign-in to disabled accounts by account name\", \"Brute Force attack against Azure Portal\", and \"Anomalous Failed Logon\"\nThe following Microsoft Sentinel Analytics queries can identify potential attempts at credential brute force based on unsuccessful attempts: \"Brute force attack against Azure Portal\", \"Password spray attack against Azure AD application\", \"Successful logon from IP and failure from a different IP\", \"Failed logon attempts in authpriv\", \"Failed AzureAD logons but success logon to host\", \"Excessive Windows logon failures\", \"Failed login attempts to Azure Portal\", \"Failed logon attempts by valid accounts within 10 mins\", \"Brute Force Attack against GitHub Account\", \"Distributed Password cracking attempts in AzureAD\", \"Potential Password Spray Attack\" based on periodic assessment of Azure Active Directory sign-in events and Okta console logins, \"Attempts to sign in to disabled accounts\", \"Sign-ins from IPs that attempt sign-ins to disabled accounts\", \"High count of failed logins by a user\", \"Hi count of failed attempts same client IP\", \"SSH - Potential Brute Force\", and \"SecurityEvent - Multiple authentication failures followed by success\"."}, {"divider": true}, {"name": "control", "value": "advanced_threat_protection_for_azure_sql_database"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on repeated sign in attempts to the resource and successful logins from a suspicious location, IP address, or a user that does not commonly log in to the resource.  Because this control is specific to Azure database offerings, the detection coverage is Minimal."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Authentication to Linux machines should require SSH keys\" can obviate SSH Brute Force password attacks.  Because this is specific to Linux, the coverage score is Minimal leading to an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can identify multiple connection attempts by external IPs, which may be indicative of Brute Force attempts, though not T1110.002, which is performed offline."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on multiple successful and failed brute force attempts against SSH. There are no alerts for other methods of logging into Linux machines."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control may detect successful and failed brute force attempts with logic that factors the IP, time between attempts, and other suspicious activity. The following alerts may be generated: \"A logon from a malicious IP has been detected\", \"A logon from a malicious IP has been detected. [seen multiple times]\", \"Successful brute force attack\", \"Suspicious authentication activity\"."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to implement multi-factor authentication, implement password security policies, and replacing password authentication with more secure authentication methods. This control can affect Azure, Azure cloud application, and endpoint credentials."}, {"divider": true}, {"name": "control", "value": "just-in-time_vm_access"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can be configured to completely block inbound access to selected ports until access is requested. This prevents any attempt at brute forcing a protocol, such as RDP or SSH, unless the attacker has the credentials and permissions to request such access. Even if permission has been granted to an authorized user to access the virtual machine, a list of authorized IP addresses for that access can be configured."}]}, {"techniqueID": "T1110.004", "score": 8, "comment": " Related to: \n \u2022advanced_threat_protection_for_azure_sql_database\n\u2022ai_security_recommendations\n\u2022just-in-time_vm_access\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022azure_policy\n\u2022alerts_for_azure_network_layer", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The \"Summary of user logons by logon type\" Microsoft Sentinel Hunting query compares successful and unsuccessful logon attempts to identify potential lateral movement.\nThe following Microsoft Sentinel Hunting queries can identify potential attempts at credential brute force based on unsuccessful attempts: \"VIP account more than 6 failed logons in 10\", \"Multiple Failed Logon on SQL Server in Short time Span\", \"Permutations on logon attempts by UserPrincipalNames indicating potential brute force\", \"Potential IIS brute force\", \"Failed attempt to access Azure Portal\", \"Failed Login Attempt by Expired account\", \"Failed Logon Attempts on SQL Server\", \"Failed Logon on SQL Server from Same IPAddress in Short time Span\", \"Failed service logon attempt by user account with available AuditData\", \"Login attempt by Blocked MFA user\", \"Login spike with increase failure rate\", \"Attempts to sign-in to disabled accounts by IP address\", \"Attempts to sign-in to disabled accounts by account name\", \"Brute Force attack against Azure Portal\", and \"Anomalous Failed Logon\"\nThe following Microsoft Sentinel Analytics queries can identify potential attempts at credential brute force based on unsuccessful attempts: \"Brute force attack against Azure Portal\", \"Password spray attack against Azure AD application\", \"Successful logon from IP and failure from a different IP\", \"Failed logon attempts in authpriv\", \"Failed AzureAD logons but success logon to host\", \"Excessive Windows logon failures\", \"Failed login attempts to Azure Portal\", \"Failed logon attempts by valid accounts within 10 mins\", \"Brute Force Attack against GitHub Account\", \"Distributed Password cracking attempts in AzureAD\", \"Potential Password Spray Attack\" based on periodic assessment of Azure Active Directory sign-in events and Okta console logins, \"Attempts to sign in to disabled accounts\", \"Sign-ins from IPs that attempt sign-ins to disabled accounts\", \"High count of failed logins by a user\", \"Hi count of failed attempts same client IP\", \"SSH - Potential Brute Force\", and \"SecurityEvent - Multiple authentication failures followed by success\"."}, {"divider": true}, {"name": "control", "value": "advanced_threat_protection_for_azure_sql_database"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on repeated sign in attempts to the resource and successful logins from a suspicious location, IP address, or a user that does not commonly log in to the resource.  Because this control is specific to Azure database offerings, the detection coverage is Minimal."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Authentication to Linux machines should require SSH keys\" can obviate SSH Brute Force password attacks.  Because this is specific to Linux, the coverage score is Minimal leading to an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can identify multiple connection attempts by external IPs, which may be indicative of Brute Force attempts, though not T1110.002, which is performed offline."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on multiple successful and failed brute force attempts against SSH. There are no alerts for other methods of logging into Linux machines."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control may detect successful and failed brute force attempts with logic that factors the IP, time between attempts, and other suspicious activity. The following alerts may be generated: \"A logon from a malicious IP has been detected\", \"A logon from a malicious IP has been detected. [seen multiple times]\", \"Successful brute force attack\", \"Suspicious authentication activity\"."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to implement multi-factor authentication, implement password security policies, and replacing password authentication with more secure authentication methods. This control can affect Azure, Azure cloud application, and endpoint credentials."}, {"divider": true}, {"name": "control", "value": "just-in-time_vm_access"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can be configured to completely block inbound access to selected ports until access is requested. This prevents any attempt at brute forcing a protocol, such as RDP or SSH, unless the attacker has the credentials and permissions to request such access. Even if permission has been granted to an authorized user to access the virtual machine, a list of authorized IP addresses for that access can be configured."}]}, {"techniqueID": "T1113", "score": 3, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can capture screenshots on Windows, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on usage of a screenshot tool. Documentation is not provided on the logic for determining a screenshot tool."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this technique via the Get-TimedScreenshot module on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1114", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal coverage for all of this technique's sub-techniques, resulting in an overall score of Minimal."}]}, {"techniqueID": "T1114.001", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can identify use of Empire, which has the ability to collect emails on a target system.  The coverage for these queries is minimal (specific to Empire) resulting in an overall Minimal score."}]}, {"techniqueID": "T1114.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Suspect Mailbox Export on IIS/OWA\" query can identify potential malicious exfiltration hosting via IIS. The Microsoft Sentinel Hunting \"Host Exporting Mailbox and Removing Export\" query can identify potential exfiltration of data from Exchange servers. The coverage for these queries is minimal resulting in an overall Minimal score."}]}, {"techniqueID": "T1114.003", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Mail redirect via ExO transport rule\" query can detect potentially malicious email redirection, but is limited to Exchange servers only."}]}, {"techniqueID": "T1115", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can harvest clipboard data on Windows, but does not address other procedures or platforms."}]}, {"techniqueID": "T1119", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potentially malicious automated collection: \"Multiple large queries made by user\" and \"Query data volume anomolies\" can identify that automated queries are being used to collect data in bulk. \"New ServicePrincipal running queries\" can indicate that an application is performing automated collection via queries.\nThe following Microsoft Sentinel Analytics queries can identify potentially malicious automated collection: \"Mass secret retrieval from Azure Key Vault\" and \"Azure Key Vault access TimeSeries anomaly\" can detect a sudden increase in access counts, which may indicate that an adversary is dumping credentials via automated methods. \"Users searching for VIP user activity\" can identify potentially suspicious Log Analytics queries by users looking for a listing of 'VIP' activity.\nThe coverage for these queries is minimal (applicable to specific technologies) resulting in an overall Minimal score."}]}, {"techniqueID": "T1125", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can capture webcam data on Windows, but does not address other procedures."}]}, {"techniqueID": "T1127", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify one of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}]}, {"techniqueID": "T1127.001", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can use abuse trusted utilities including MSBuild.exe, but does not address other procedures."}]}, {"techniqueID": "T1134", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal coverage of a minority of this technique's sub-techniques, but does not address other procedures, resulting in an overall score of Minimal.\nThe Microsoft Sentinel Analytics \"Azure DevOps Personal Access Token misuse\" query can identify anomalous use of Personal Access Tokens, but does not map directly to any sub-techniques."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when commands associated with this technique are executed, such as runas."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this technique via the Invoke-TokenManipulation module on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1134.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can be used to make tokens via Invoke-RunAs and add a SID-History to a user if on a domain controller, but does not address other procedures."}]}, {"techniqueID": "T1134.005", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can be used to make tokens via Invoke-RunAs and add a SID-History to a user if on a domain controller, but does not address other procedures."}]}, {"techniqueID": "T1135", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can perform port scans from an infected host, but does not address other procedures."}]}, {"techniqueID": "T1136", "score": 5, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022azure_role_based_access_control", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial coverage for all of this technique's sub-techniques, resulting in an overall score of Partial."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can mitigate a sub-technique of this technique.  Due to its Minimal coverage, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control is only relevant for Linux endpoints, and it provides partial coverage for the only sub-technique relevant on Linux endpoints, Local Account."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques resulting in a Minimal Coverage score and consequently an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides protection for one of this technique's sub-techniques while not providing any protection for the remaining and therefore its coverage score factor is Minimal, resulting in a Minimal score."}]}, {"techniqueID": "T1136.001", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022ai_security_recommendations\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"New User created on SQL Server\" query can detect a specific type of potentially malicious local account creation.\nThe following Microsoft Sentinel Analytics queries can identify potentially malicious local account creation: \"Summary of users created using uncommon/undocumented commandline switches\" which can identify use of the net command to create user accounts, \"User created by unauthorized user\", \"User Granted Access and associated audit activity\" and \"User Granted Access and Grants others Access\" which may identify account creation followed by suspicious behavior, \"User account created and deleted within 10 mins\" which suggests an account may have existed only long enough to fulfill a malicious purpose, and \"Powershell Empire cmdlets seen in command line\" which can identify use of Empire, including for account creation."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing system files from being modified in Kubernetes containers thereby mitigating this sub-technique since adding an account (on Linux) requires modifying system files.  Because this is a recommendation, its score is capped at Partial."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on usage of the useradd command to create new users and the creation of local user accounts with suspicious similarity to other account names."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect when an account is created with an account name that closely resembles a standard Windows account or group name. This may be an account created by an attacker to blend into the environment. The following alerts may be generated: \"Suspicious Account Creation Detected\"."}]}, {"techniqueID": "T1136.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Analytics queries can identify potentially malicious domain account creation: \"Summary of users created using uncommon/undocumented commandline switches\" which can identify use of the net command to create user accounts, \"User created by unauthorized user\", \"User Granted Access and associated audit activity\" and \"User Granted Access and Grants others Access\" which may identify account creation followed by suspicious behavior, \"User account created and deleted within 10 mins\" which suggests an account may have existed only long enough to fulfill a malicious purpose, and \"Powershell Empire cmdlets seen in command line\" which can identify use of Empire, including for account creation."}]}, {"techniqueID": "T1136.003", "score": 2, "comment": " Related to: \n \u2022azure_role_based_access_control\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting queries can identify potentially malicious cloud account creation: \"External user added and removed in short timeframe\" and \"External user from a new organisation added\" can identify the addition of new external Teams user accounts.\nThe following Microsoft Sentinel Analytics queries can identify potentially malicious cloud account creation: \"User Granted Access and created resources\" which identifies a newly created user account gaining access and creating resources in Azure, and \"New Cloud Shell User\"."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit the number of accounts that can create accounts."}]}, {"techniqueID": "T1137", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides minimal to partial coverage for a minority of this technique's\nsub-techniques and does not address all of its procedures, resulting in an overall score\nof Minimal."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can detect peristence via office application startup."}]}, {"techniqueID": "T1137.005", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Analytics queries can identify potentially malicious use of Outlook rules: \"Office policy tampering\", \"Malicious Inbox Rule\" which can detect rules intended to delete emails that contain certain keywords (generally meant to warn compromised users about adversary behaviors), and \"Mail redirect via ExO transport rule\" (potentially to an adversary mailbox configured to collect mail)."}]}, {"techniqueID": "T1137.006", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Previously unseen bot or applicaiton added to Teams\" [sic] query can detect the addition of a potentially malicious add-in, but is specific to Microsoft Teams."}]}, {"techniqueID": "T1140", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"New PowerShell Scripts encoded on the commandline\" query can detect a specific type of obfuscated file.\nThe Microsoft Sentinel Analytics \"Process executed from binary hidden in Base64 encoded file\" query can use security event searches to detect decoding by Python, bash/sh, and Ruby.\nThe coverage for these queries is minimal (e.g. base64, PowerShell) resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect decoding of suspicious files by certutil.exe and may detect the presence of various encoding schemes to obfuscate malicious scripts and commandline arguments. The following alerts may be generated: \"Suspicious download using Certutil detected\", \"Suspicious download using Certutil detected [seen multiple times]\", \"Detected decoding of an executable using built-in certutil.exe tool\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control analyzes host data to detect base-64 encoded executables within command sequences. It also monitors for use of certutil to decode executables. Temporal factor is unknown."}]}, {"techniqueID": "T1190", "score": 15, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022defender_for_azure_sql_databases\n\u2022advanced_threat_protection_for_azure_sql_database\n\u2022defender_for_containers\n\u2022ai_security_recommendations\n\u2022just-in-time_vm_access\n\u2022vulnerability_management\n\u2022azure_policy\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022azure_web_application_firewall\n\u2022defender_for_open_source_databases\n\u2022azure_update_manager\n\u2022defender_for_app_service\n\u2022devops_security", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Potential IIS code injection attempt\" query can detect some potential injection attacks against public-facing applications.\nThe Microsoft Sentinel Analytics \"A potentially malicious web request was executed against a web server\" query can detect a high ratio of blocked requests and unobstructed requests to a Web Application Firewall (WAF) for a given client IP and hostnam.\nThe coverage for these queries is minimal (e.g. IIS) resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "devops_security"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can protect against exploitation of public facing applications by ensuring application security is baked into DevOps."}, {"divider": true}, {"name": "control", "value": "advanced_threat_protection_for_azure_sql_database"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on usage of faulty SQL statements. This generates an alert for a possible SQL injection by an application. Alerts may not be generated on usage of valid SQL statements by attackers for malicious purposes."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's CORS related recommendations can help lead to hardened web applications.  This can reduce  the likelihood of an application being exploited to reveal sensitive data that can lead to the compromise of an environment. \nLikewise this control's recommendations related to keeping Java/PHP up to date for API/Function/Web apps can lead to hardening the public facing content that uses these runtimes.\nThis control's recommendations related to disabling Public network access for Azure databases can lead to reducing the exposure of resources to the public Internet and thereby reduce the attack surface.\nThese recommendations are limited to specific technologies (Java, PHP and CORS, SQL DBs) and therefore provide Minimal coverage leading to a Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate. The following alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic to and from externally facing systems with respect to network security group (NSG) policy."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to restrict access to applications that are public facing and providing information on vulnerable applications."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial coverage for techniques that exploit vulnerabilities in (common) unpatched software since it enables automated updates of software and rapid configuration change management."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can detect common web application attack vectors."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can protect web applications from common attacks (e.g. SQL injection, XSS)."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode injected to exploit a vulnerability in a public-facing application. Detection is periodic at an unknown rate."}, {"divider": true}, {"name": "control", "value": "defender_for_azure_sql_databases"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides recommendations to patch if SQL server is out of date and to disable unneeded features to reduce exploitable surface area."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide provide information about vulnerabilities within container images. The limited scope of containers and registries that are applicable to this control contribute to the lower score."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on publicly exposed Kubernetes services. This may provide context on services that should be patched or hardened for public access."}, {"divider": true}, {"name": "control", "value": "defender_for_open_source_databases"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect artifacts of common exploit traffic."}, {"divider": true}, {"name": "control", "value": "just-in-time_vm_access"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can be configured to completely block inbound access to selected ports until access is requested. This prevents any attempt at exploitation of a public-facing application unless the attacker has the credentials and permissions to request such access. Even if permission has been granted to an authorized user to access the virtual machine, a list of authorized IP addresses for that access can be configured. The score is minimal, since this control only applies to specific applications requiring credentialed access, as opposed to a public webserver"}, {"divider": true}, {"name": "control", "value": "vulnerability_management"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Once this control is deployed, it can detect known vulnerabilities in Windows and various Linux endpoints. This information can be used to patch, isolate, or remove vulnerable software and machines. This control does not directly protect against exploitation and it is not effective against zero day attacks, vulnerabilities with no available patch, and software that may not be analyzed by the scanner. As a result, the score is capped at Partial."}]}, {"techniqueID": "T1195", "score": 2, "comment": " Related to: \n \u2022azure_update_manager\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides partial coverage for one of this technique's sub-techniques, and its coverage is more for supply chain concerns of downstream consumers of software developed within the environemnt than the Azure environment itself, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides coverage of some aspects of software supply chain compromise since it enables automated updates of software and rapid configuration change management."}]}, {"techniqueID": "T1195.001", "score": 2, "comment": " Related to: \n \u2022azure_update_manager\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potentially malicious changes to Azure DevOps project resources: \"Azure DevOps - Project Visibility changed to public\" can identify a specific action that may be an indicator of an attacker modifying the cloud compute infrastructure. \"Azure DevOps - Public project created\" and \"Azure DevOps - Public project enabled by admin\" can identify specific instances of potential defense evasion.\nThe following Microsoft Sentinel Analytics queries can identify potentially malicious changes to Azure DevOps project resources: \"AzureDevops Service Connection Abuse\" can detect potential malicious behavior associated with use of large number of service connections, \"External Upstream Source added to Azure DevOps\" identifies a specific behavior that could compromise the DevOps build pipeline, \"Azure DevOps Pull Request Policy Bypassing - History\" can identify specific potentially malicious behavior that compromises the build process, \"Azure DevOps Pipeline modified by a New User\" identifies potentially malicious activity that could compromise the DevOps pipeline, \"Azure DevOps Administrator Group Monitoring\" monitors for specific activity which could compromise the build/release process, \"New Agent Added to Pool by New User or a New OS\" can detect a suspicious behavior that could potentially compromise DevOps pipeline."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides coverage of some aspects of software supply chain compromise since it enables automated updates of software and rapid configuration change management."}]}, {"techniqueID": "T1210", "score": 7, "comment": " Related to: \n \u2022vulnerability_management\n\u2022azure_policy\n\u2022azure_network_security_groups\n\u2022alerts_for_windows_machines\n\u2022microsoft_sentinel\n\u2022azure_update_manager\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which includes built-in modules for exploiting remote SMB, JBoss, and Jenkins servers, but does not address other procedures. The Microsoft Sentinel Analytics \"Gain Code Execution on ADFS Server via SMB + Remote Service or Scheduled Task\" query can detect when an adversary gains execution capability on an ADFS server through SMB and Remote Service or Scheduled Task."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate. The following alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict access to remote services to minimum necessary."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to enable Azure security controls to harden remote services and reduce surface area for possible exploitation."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control provides significant coverage of techniques that leverage vulnerabilities in unpatched remote services since it enables automated updates of software and rapid configuration change management."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode injected to exploit a vulnerability in an exposed service. Detection is periodic at an unknown rate."}, {"divider": true}, {"name": "control", "value": "vulnerability_management"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Once this control is deployed, it can detect known vulnerabilities in Windows and various Linux endpoints. This information can be used to patch, isolate, or remove vulnerable software and machines. This control does not directly protect against exploitation and it is not effective against zero day attacks, vulnerabilities with no available patch, and software that may not be analyzed by the scanner. As a result, the score is capped at Partial."}]}, {"techniqueID": "T1213", "score": 4, "comment": " Related to: \n \u2022defender_for_open_source_databases\n\u2022advanced_threat_protection_for_azure_sql_database\n\u2022alerts_for_azure_cosmos_db\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides partial detection coverage for only this technique's SharePoint sub-technique.\nThe Microsoft Sentinel Hunting \"Cross workspace query anomaly\" query can identify potential adversary information collection (in this case from Azure ML workspaces), but does not map directly to any sub-techniques."}, {"divider": true}, {"name": "control", "value": "advanced_threat_protection_for_azure_sql_database"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on extraction of a large amount of data to an unusual location. No documentation is provided on the logic for determining an unusual location."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_cosmos_db"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control triggers an alert when an unusually large amount of data is extracted from/by an account compared to recent activity. False positives are fairly likely and extraction in quantities below the control's threshold is not detected, so score is Minimal. Neither of the sub-techniques are relevant in this context, since they are repository-specific.  Relevant alert is \"Unusual amount of data extracted from a Cosmos DB account\""}, {"divider": true}, {"name": "control", "value": "defender_for_open_source_databases"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect suspicious login activity."}]}, {"techniqueID": "T1213.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potentially malicious access to SharePoint: \"SharePointFileOperation via clientIP with previously unseen user agents\", \"SharePointFileOperation via devices with previously unseen user agents\", and \"SharePointFileOperation via previously unseen IPs\".\nThe Microsoft Sentinel Analytics \"SharePointFileOperation via devices with previously unseen user agents\" query can identify a high number of upload or download actions by an unknown and possible malicious actor."}]}, {"techniqueID": "T1217", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which has the ability to gather browser data including bookmarks and history, but does not address other procedures."}]}, {"techniqueID": "T1482", "score": 3, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022azure_network_security_groups\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can enumerate domain trusts, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to isolate sensitive domains to limit discovery."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this technique via the Get-NetDomainTrust and Get-NetForestTrust modules, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1484", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides minimal to partial coverage of both of this technique's sub-techniques, resulting in an overall score of Partial."}]}, {"techniqueID": "T1484.001", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can modify group policy objects to install and execute malicious scheduled tasks, but does not address other procedures."}]}, {"techniqueID": "T1484.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Modified Domain Federation Trust Settings\" query can detect potentially malicious changes to domain trust settings."}]}, {"techniqueID": "T1485", "score": 5, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022defender_for_storage\n\u2022azure_policy\n\u2022microsoft_sentinel\n\u2022azure_backup", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Multiple Teams deleted by a single user\" query can detect when a threshold is met for number of Teams deleted within an hour. Coverage is minimal because the control is limited to a specific resource (teams) and only works when the threshold is met.\nThe Microsoft Sentinel Analytics \"Multiple Teams deleted by a single user\" query can detect when a threshold is met for number of Teams deleted within an hour. Coverage is minimal because the control is limited to a specific resource (teams) and only works when the threshold is met."}, {"divider": true}, {"name": "control", "value": "defender_for_storage"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may generate alerts when there has been an unusual or unexpected delete operation within Azure cloud storage. Alerts may not be generated by disabling of storage backups, versioning, or editing of storage objects."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to mitigating this technique by preventing modification of the local filesystem.  Due to it being a recommendation, its score is capped at Partial."}, {"divider": true}, {"name": "control", "value": "azure_backup"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Data backups provide a significant response to data destruction by enabling the restoration of data from backup."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to enable soft deletion and purge protection in Azure Key Vault. This can help mitigate against malicious deletion of keys and secrets stored within Key Vault."}]}, {"techniqueID": "T1486", "score": 3, "comment": " Related to: \n \u2022azure_backup\n\u2022ai_security_recommendations\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Sensitive Azure Key Vault Operations\" query can identify potential attacker activity intended to delete private key(s) required to decrypt content."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to mitigating this technique by preventing modification of the local filesystem.  Due to it being a recommendation, its score is capped at Partial."}, {"divider": true}, {"name": "control", "value": "azure_backup"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Data backups provide a significant response to data encryption/ransomware by enabling the restoration of data from backup."}]}, {"techniqueID": "T1490", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Sensitive Azure Key Vault Operations\" query can identify potential attacker activity intended to interfere with backups."}]}, {"techniqueID": "T1496", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potential resource hijacking based on anomolies in access and usage patterns: \"Anomalous Resource Creation and related Network Activity\", \"Creation of an anomalous number of resources\".\nThe following Microsoft Sentinel Analytis queries can identify potential resource hijacking: \"Creation of Expensive Computes in Azure\" and \"Suspicious number of resource creation or deployed\" [sic] can identify suspicious outliers in resource quantities requested. \"Suspicious Resource deployment\" can identify deployments from new, potentially malicious, users. \"Process execution frequency anomaly\" can identify execution that may indicate hijacking. \"DNS events related to mining pools\", can identify potential cryptocurrency mining activity."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control detects file downloads associated with digital currency mining as well as host data related to process and command execution associated with mining. It also includes fileless attack detection, which specifically targets crypto mining activity. Temporal factor is unknown."}]}, {"techniqueID": "T1505", "score": 5, "comment": " Related to: \n \u2022defender_for_azure_sql_databases\n\u2022ai_security_recommendations\n\u2022azure_policy\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides partial coverage for only one of this technique's sub-techniques, resulting in overall coverage of Minimal."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can mitigate a sub-technique of this technique.  Due to its Minimal coverage, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides coverage for the only sub-technique this control is relevant for, Web Shell, but that coverage is Minimal."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against abuse of server software components for persistence."}, {"divider": true}, {"name": "control", "value": "defender_for_azure_sql_databases"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against abuse of server software components for persistence."}]}, {"techniqueID": "T1505.003", "score": 3, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Web shell command alert enrichment\", \"Web shell Detection\", and \"Web shell file alert enrichment\" queries can identify potentially malicious activity via web shell."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing modifications to the file system in Kubernetes containers which can mitigate adversaries installing web shells.  Because this is a recommendation, and specific to Kubernetes containers, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on usage of web shells. No documentation is provided on logic for this detection."}]}, {"techniqueID": "T1518", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify one of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}]}, {"techniqueID": "T1518.001", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can enumerate antivirus software on the target, but does not address other procedures."}]}, {"techniqueID": "T1528", "score": 3, "comment": " Related to: \n \u2022azure_role_based_access_control\n\u2022azure_key_vault\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Consent to Application discovery\" query can identify recent permissions granted by a user to a particular app."}, {"divider": true}, {"name": "control", "value": "azure_key_vault"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can provide protection against attackers stealing application access tokens if they are stored within Azure Key Vault. Key vault significantly raises the bar for access for stored tokens by requiring legitimate credentials with proper authorization. Applications may have to be modified to take advantage of Key Vault and may not always be possible to utilize."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to limit the number of users that are authorized to grant consent to applications for accessing organizational data.  This can reduce the likelihood that a user is fooled into granting consent to a malicious application that then utilizes the user's OAuth access token to access organizational data."}]}, {"techniqueID": "T1530", "score": 4, "comment": " Related to: \n \u2022azure_role_based_access_control\n\u2022defender_for_storage\n\u2022azure_policy\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Anomalous Data Access\" query identifies all users performing out-of-profile read operations regarding data or files, which may be indicative of adversarial collection from cloud storage objects."}, {"divider": true}, {"name": "control", "value": "defender_for_storage"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "A variety of alerts may be generated by malicious access and enumeration of Azure Storage. "}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to enable Azure Defender for Storage and other security controls to prevent access to data from cloud storage objects. "}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to limit the number of users that have access to storage solutions except for the applications, users, and services that require access, thereby reducing the attack surface."}]}, {"techniqueID": "T1531", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potentially malicious behavior on user accounts: \"AD Account Lockout\", \"Anomalous Password Reset\", \"SQL User deleted from Database\", \"User removed from SQL Server Roles\", and \"User removed from SQL Server SecurityAdmin Group\".\nThe Microsoft Sentinel Analytics \"Sensitive Azure Key Vault operations\" query can identify attempts to remove account access by deleting keys or entire key vaults."}]}, {"techniqueID": "T1535", "score": 2, "comment": " Related to: \n \u2022azure_policy\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Suspicious Resource deployment\" query can identify adversary attempts to maintain persistence or evade defenses by leveraging unused and/or unmonitored resources."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to restrict the allowed locations your organization can specify when deploying resources or creating resource groups."}]}, {"techniqueID": "T1543", "score": 5, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify one of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect creation or modification of system-level processes."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can mitigate a sub-technique of this technique.  Due to its Minimal coverage, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques resulting in a Minimal Coverage score and consequently an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only addresses a minority of this technique's procedure examples and one of its sub-techniques resulting in an overall Minimal score."}]}, {"techniqueID": "T1543.003", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can modify service binaries and restore them to their original states, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry upon creation or modification of Windows services. This control may also detect changes to files used by systemd to create/modify systemd services.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect when the tscon.exe binary is installed as a service to exploit RDP sessions or when a rare service group is executed under SVCHOST. The following alerts may be generated: \"Suspect service installation\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via the Privesc-PowerUp modules on Windows, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1546", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022ai_security_recommendations\n\u2022file_integrity_monitoring\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify one of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The detection score for this technique was assessed as Partial because it doesn't detect some of the sub-techniques of this technique such as Windows Management Instrumentation (WMI) Event Subscription and Trap sub-techniques. Additionally for some sub-techniques, this control can be noisy.\n"}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can mitigate a sub-technique of this technique.  Due to its Minimal coverage, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques resulting in a Minimal Coverage score and consequently an overall score of Minimal."}]}, {"techniqueID": "T1546.008", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can leverage WMI debugging to remotely replace binaries like seth.exe, utilman.exe, and magnify.exe with cmd.exe, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that indicate event triggered execution.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect when the binary for the sticky keys utility has been replaced, possibly to gain persistence or execution. The following alerts may be generated: \"Sticky keys attack detected\"."}]}, {"techniqueID": "T1547", "score": 5, "comment": " Related to: \n \u2022alerts_for_linux_machines\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify three of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect boot or logon autostart execution."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control is only relevant for Linux endpoint machines and the only sub-technique relevant for Linux is Kernel Modules and Extensions."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques resulting in a Minimal Coverage score and consequently an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only covers one platform and procedure for two of this technique's many sub-techniques, resulting in a Minimal score."}]}, {"techniqueID": "T1547.001", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can enumerate SSPs, install malicious SSPs, persist by modifying .lnk files to include backdoors, and modify the registry run keys, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that enable Boot or Logon Autostart Execution. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect when the Registry is leveraged to gain persistence. The following alerts may be generated: \"Windows registry persistence method detected\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via New-UserPersistenceOption on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1547.005", "score": 3, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can enumerate SSPs, install malicious SSPs, persist by modifying .lnk files to include backdoors, and modify the registry run keys, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that enable Boot or Logon Autostart Execution. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via the Install-SSP module on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1547.009", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can enumerate SSPs, install malicious SSPs, persist by modifying .lnk files to include backdoors, and modify the registry run keys, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that enable Boot or Logon Autostart Execution. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1548", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022docker_host_hardening\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify one of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can detect abuse of elevation control mechanisms."}, {"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control is only relevant for Linux endpoints containing Docker containers."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The only sub-technique scored (Bypass User Account Control) is the only one relevant to Windows."}]}, {"techniqueID": "T1548.002", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which includes various modules to attempt to bypass UAC for privilege escalation, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Some UAC bypass methods rely on modifying specific, user-accessible Registry settings that can be monitored using this control.  Overall, there are numerous other bypass methods that do not result in Registry modification that this control will not be effective in detection resulting in a low detection coverage factor."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may detect when User Account Control is bypassed by manipulating the Windows registry. There may be other methods to Bypass User Account Control which limits the score to Minimal. The following alerts may be generated: \"Detected change to a registry key that can be abused to bypass UAC\""}]}, {"techniqueID": "T1550", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal coverage of half of this technique's sub-techniques, without additional coverage of procedure examples, resulting in an overall score of Minimal."}]}, {"techniqueID": "T1550.001", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Azure DevOps - PAT used with Browser.\" query can identify potentially malicious usage of Personal Access Tokens intended for code or applications to be used through the web browser."}]}, {"techniqueID": "T1550.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can perform pass the hash attacks, but does not address other procedures."}]}, {"techniqueID": "T1552", "score": 5, "comment": " Related to: \n \u2022azure_dedicated_hsm\n\u2022microsoft_sentinel\n\u2022ai_threat_protection\n\u2022azure_key_vault\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal to partial coverage for a minority of this technique's sub-techniques, resulting in an overall detection score of Minimal."}, {"divider": true}, {"name": "control", "value": "ai_threat_protection"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides detection of unsecured credentials being divulged by AI model responses. "}, {"divider": true}, {"name": "control", "value": "azure_dedicated_hsm"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's protection is specific to a minority of this technique's sub-techniques and procedure examples resulting in a Minimal Coverage score and consequently an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "azure_key_vault"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides a central, secure location for storage of credentials to reduce the possibility of attackers discovering unsecured credentials. "}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control does not address this technique's procedure example and provides minimal detection for some of its sub-techniques resulting in an overall Minimal score."}]}, {"techniqueID": "T1552.001", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Query looking for secrets\" query can identify potentially malicious database requests for secrets like passwords or other credentials.\nThe Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can use various modules to search for files containing passwords, but does not address other procedures.\nThe coverage for these queries is minimal resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when commands associated with searching for passwords are executed."}]}, {"techniqueID": "T1552.004", "score": 2, "comment": " Related to: \n \u2022azure_dedicated_hsm\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"ADFS DKM Master Key Export\" and \"ADFS Key Export (Sysmon)\" queries can detect potentially malicious access intended to decrypt access tokens. The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can use modules to extract private key and session information, but does not address other procedures.\nThe coverage for these queries is minimal (specific to Empire, ADFS) resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "azure_dedicated_hsm"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Provides significant protection of private keys."}]}, {"techniqueID": "T1552.007", "score": 4, "comment": " Related to: \n \u2022defender_for_apis\n\u2022defender_for_containers\n\u2022devops_security\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"divider": true}, {"name": "control", "value": "devops_security"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can protect against unsecured Container API credentials by ensuring credential security is part of the DevOps process."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can be integrated with others to secure credentials."}, {"divider": true}, {"name": "control", "value": "defender_for_apis"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can detect anomalous usage of APIs."}, {"divider": true}, {"name": "control", "value": "defender_for_apis"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can support configuration of APIs to protect against access to unsecured credentials."}]}, {"techniqueID": "T1555", "score": 7, "comment": " Related to: \n \u2022defender_for_resource_manager\n\u2022azure_policy\n\u2022microsoft_sentinel\n\u2022defender_for_apis\n\u2022defender_for_app_service\n\u2022azure_key_vault\n\u2022defender_for_key_vault", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify one of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "azure_key_vault"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide a more secure location for storing passwords. If an Azure user account, endpoint, or application is compromised, they may have limited access to passwords stored in the Key Vault."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations for auditing and hardening Azure Key Vault to prevent malicious access and segment key access."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this technique via the PowerSploit Exfiltration modules on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}, {"divider": true}, {"name": "control", "value": "defender_for_key_vault"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect suspicious secret access from Azure key vaults."}, {"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on credential dumping from Azure Key Vaults, App Services Configurations, and Automation accounts by specific exploitation toolkits. Consequently,  its Coverage score is Minimal resulting in an overall Minimal score. The following alerts may be generated: \"MicroBurst exploitation toolkit used to extract secrets from your Azure key vaults\", \"MicroBurst exploitation toolkit used to extract keys to your storage accounts\"."}, {"divider": true}, {"name": "control", "value": "defender_for_apis"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect APIs from adversaries attempting to access credentials."}]}, {"techniqueID": "T1555.003", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can extract passwords from common web browsers including Firefox and Chrome, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect command execution associated with this technique."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect command execution associated with this technique."}]}, {"techniqueID": "T1556", "score": 4, "comment": " Related to: \n \u2022ai_security_recommendations\n\u2022file_integrity_monitoring\n\u2022azure_role_based_access_control\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Azure DevOps Conditional Access Disabled\" query can identify potentially malicious modifications of the DevOps access policy.\nThe Microsoft Sentinel Analytics \"MFA disabled for a user\" and \"GitHub Two Factor Auth Disable\" queries can detect potentially malicious changes in multi-factor authentication settings."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control is effective for detecting the Registry and file system artifacts that are generated during the execution of some variations of this technique while minimizing false positives due to the locations being monitored changing infrequently (e.g. /etc/pam.d/)."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can mitigate a sub-techniques of this technique.  Due to it being a recommendation and providing minimal coverage, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against modification of the authentication process by limiting access."}]}, {"techniqueID": "T1557", "score": 5, "comment": " Related to: \n \u2022azure_vpn_gateway\n\u2022azure_network_security_groups\n\u2022microsoft_sentinel\n\u2022azure_private_link\n\u2022devops_security", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify one of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "devops_security"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can protect against adversary-in-the-middle attacks by ensuring encryption is baked into the DevOps process of applications."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to limit access to network infrastructure and resources that can be used to reshape traffic or otherwise produce MiTM conditions."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial protection for this technique's sub-techniques resulting in an overall Partial score."}, {"divider": true}, {"name": "control", "value": "azure_vpn_gateway"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can mitigate Man-in-the-Middle attacks that manipulate network protocol data in transit."}]}, {"techniqueID": "T1557.001", "score": 3, "comment": " Related to: \n \u2022azure_vpn_gateway\n\u2022azure_private_link\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can use Inveigh to conduct name service poisoning for credential theft and associated relay attacks, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control reduces the likelihood of MiTM for traffic between remote users, cloud, and 3rd parties by routing the traffic via the Microsoft backbone rather than over the Internet."}, {"divider": true}, {"name": "control", "value": "azure_vpn_gateway"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can protect against adversary in the middle attacks."}]}, {"techniqueID": "T1558", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides minimal to partial coverage for some this technique's sub-techniques, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques resulting in a Minimal Coverage score and consequently an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only covers one procedure for one of this technique's sub-techniques, resulting in an  overall Minimal score."}]}, {"techniqueID": "T1558.001", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect execution of these sub-techniques via Empire, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect commandline parameters consistent with a Kerberos Golden Ticket attack. The following alerts may be generated: \"Suspected Kerberos Golden Ticket attack parameters observed\"."}]}, {"techniqueID": "T1558.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect execution of these sub-techniques via Empire, but does not address other procedures."}]}, {"techniqueID": "T1558.003", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Microsoft Sentinel Analytics includes a \"Potential Kerberoasting\" query. Kerberoasting via Empire can also be detected using the Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via the Invoke-Kerberoast module, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1560", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can ZIP directories on target systems, but does not address other procedures."}]}, {"techniqueID": "T1562", "score": 5, "comment": " Related to: \n \u2022defender_for_resource_manager\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel\n\u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal (mostly) to partial coverage for most of this technique's sub-techniques, resulting in an overall score of Minimal.\nThe Microsoft Sentinel Hunting \"Anomalous Defensive Mechanism Modification\" query detects users performing delete operations on security policies, which may indicate an adversary attempting to impair defenses."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Due to low detection coverage, this technique is scored as minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides coverage for a miniority of the sub-techniques under this technique and provides no coverage for other relevant sub-techniques, such as Impair Command History Logging or Disable or Modify Tools, resulting in a score of Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques resulting in a Minimal Coverage score and consequently an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on Windows Defender security  features being disabled but does not alert on other security tools or logging being disabled or tampered with. Consequently, its Coverage score is Minimal  resulting in an overall Minimal score."}]}, {"techniqueID": "T1562.001", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_resource_manager\n\u2022file_integrity_monitoring\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potentially malicious modifications to Sentinel resources: \"Microsoft Sentinel Analytics Rules Administrative Operations\", \"Microsoft Sentinel Connectors Administrative Operations\", and \"Microsoft Sentinel Workbooks Administrative Operations\".\nThe Microsoft Sentinel Analytics \"Starting or Stopping HealthService to Avoid Detection\" query can detect potentially malicious disabling of telemetry collection/detection.\nThe coverage for these queries is minimal resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can be used to monitor Registry keys related to security software or event logging processes that can detect when an adversary attempts to disable these tools via modifying or deleting Registry keys.  A majority of the cited procedure examples for this sub-technique are related to killing security processes rather than modifying the Registry, and therefore the detection coverage for this control is low."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect when critical services have been disabled, such as Windows Security Center. This control may also detect when IIS logging has been disabled. The  following alerts may be generated: \"Detected the disabling of critical services\", \"Detected actions indicative of disabling and deleting IIS log files\"."}, {"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following alerts are available for Windows Defender security features being disabled but none for third party security tools: \"Antimalware broad files exclusion in your virtual machine\", \"Antimalware disabled and code execution in your virtual machine\", \"Antimalware disabled in your virtual machine\", \"Antimalware file exclusion and code execution in your virtual machine\", \"Antimalware file exclusion in your virtual machine\", \"Antimalware real-time protection was disabled in your virtual machine\", \"Antimalware real-time protection  was disabled temporarily in your virtual machine\", \"Antimalware real-time  protection was disabled temporarily while code was executed in your virtual  machine\", \"Antimalware temporarily disabled in your virtual machine\",  \"Antimalware unusual file exclusion in your virtual machine\"."}]}, {"techniqueID": "T1562.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Audit policy manipulation using auditpol utility\" query can detect potentially malicious to modification and/or disabling of logging via the auditpol utility.  The coverage for these queries is minimal (specific to Audit policy) resulting in an overall Minimal score."}]}, {"techniqueID": "T1562.006", "score": 3, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022alerts_for_linux_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Microsoft Sentinel Analytics Rules Administrative Operations\" query can identify potential attempts to impair defenses by changing or deleting detection analytics.\nThe Microsoft Sentinel Analytics \"Azure DevOps - Retention Reduced to Zero\" query can identify that an adversary is looking to reduce their malicious activity's footprint by preventing retention of artifacts. Control is specific to indicators produced by Azure DevOps. The coverage for these queries is minimal resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "There are numerous ways depending on the operating system that these sub-techniques can be accomplished.  Monitoring the Windows Registry is one way depending on the procedure chosen to implement the sub-technique and therefore the overall coverage is low."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on activity which disables auditd logging on Linux endpoints. The auditd package may not be the only logging system being utilized and this control may not alert on activity that disables other logging software."}]}, {"techniqueID": "T1562.007", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potentially malicious modifications to cloud firewall resources: \"Azure Network Security Group NSG Administrative Operations\" query can identify potential defensive evasion involving changing or disabling network access rules. \"Port opened for an Azure Resource\" may indicate an adversary increasing the accessibility of a resource for easier collection/exfiltration.\nThe Microsoft Sentinel Analytics \"Security Service Registry ACL Modification\" query can detect attempts to modify registry ACLs, potentially done to evade security solutions."}]}, {"techniqueID": "T1562.008", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Exchange AuditLog disabled\" query can detect potentially malicious disabling of Exchange logs. The Microsoft Sentinel Analytics \"Azure DevOps Audit Stream Disabled\" query can identify disabling of Azure DevOps log streaming. The coverage for these queries is minimal (specific to these technologies) resulting in an overall Minimal score."}]}, {"techniqueID": "T1567", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal coverage to both of this technique's sub-techniques as well as some of its procedure examples, resulting in an overall score of Minimal.\nThe Microsoft Sentinel Analytics \"Malformed user agent\" query can detect potential exfiltration over a web service by malicious code with a hard-coded user agent string, or possibly data encoded via the user agent string."}]}, {"techniqueID": "T1567.001", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can identify use of Empire, which can use Dropbox and GitHub for data exfiltration. The Microsoft Sentinel Analytics \"SharePointFileOperation via previously unseen IPs\" can detect potential exfiltration activity via SharePoint. The coverage for these queries is minimal resulting in an overall Minimal score."}]}, {"techniqueID": "T1567.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can identify use of Empire, which can use Dropbox and GitHub for data exfiltration. The Microsoft Sentinel Analytics \"SharePointFileOperation via previously unseen IPs\" can detect potential exfiltration activity via SharePoint. The coverage for these queries is minimal resulting in an overall Minimal score."}]}, {"techniqueID": "T1568", "score": 3, "comment": " Related to: \n \u2022azure_dns_analytics\n\u2022alerts_for_dns\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides partial coverage for one of this technique's sub-techniques, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_dns"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Can identify \"random\" DNS occurences which can be associated with domain generation algorithm or Fast Flux sub-techniques.  Partial for coverage and accuracy (potential for false positive/benign).\n"}, {"divider": true}, {"name": "control", "value": "azure_dns_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can be used for after-the-fact analysis of potential fast-flux DNS C2"}]}, {"techniqueID": "T1568.002", "score": 3, "comment": " Related to: \n \u2022azure_dns_analytics\n\u2022alerts_for_dns\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Potential DGA detected\" query can detect clients with a high NXDomain count, which might indicate an adversary cycling through possible C2 domains where most C2s are not live.\nThe following Microsoft Sentinel Analytics queries can identify potential use of domain generation algorithms: \"Possible contact with a domain generated by a DGA\" and \"Potential DGA detected\" within DNS."}, {"divider": true}, {"name": "control", "value": "alerts_for_dns"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Detects \"random\" DNS name occurences, potentially indicative of Fast Flux or DGA. Potential false positives from benign \"random\" DNS names."}, {"divider": true}, {"name": "control", "value": "azure_dns_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can be used for after-the-fact analysis of potential fast-flux DNS C2"}]}, {"techniqueID": "T1569", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify one of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}]}, {"techniqueID": "T1569.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can use PsExec to execute a payload on a remote host, but does not address other procedures."}]}, {"techniqueID": "T1573", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal coverage for one sub-technique of this technique, resulting in an overall coverage score of Minimal."}]}, {"techniqueID": "T1573.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The following Microsoft Sentinel Analytics queries can detect potentially malicious usage of asymmetric cryptography channels: \"DNS events related to ToR proxies\" can identify potential use of Tor, though it provides only minimal coverage because it only covers a set of common domains and is easily bypassed via hardcoded IP addresses, redirection, etc. \"Powershell Empire cmdlets seen in command line\" can identify use of Empire, which can use TLS to encrypt a command and control channel."}]}, {"techniqueID": "T1574", "score": 3, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify several of this technique's sub-techniques when executed via \"Powershell Empire cmdlets seen in command line\", but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can detect hijacked execution flow."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only addresses a minority of this technique's procedure examples and provides  minimal detection of some of its sub-techniques resulting in an overall Minimal score."}]}, {"techniqueID": "T1574.001", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can discover and exploit DLL hijacking opportunities, path interception opportunities in the PATH environment variable, search order hijacking vulnerabilities, and unquoted path vulnerabilities, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of these sub-techniques via the Privesc-PowerUp modules, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1574.007", "score": 3, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can discover and exploit DLL hijacking opportunities, path interception opportunities in the PATH environment variable, search order hijacking vulnerabilities, and unquoted path vulnerabilities, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect file changes on VMs indicative of Path Interception by PATH Environment Variable."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of these sub-techniques via the Privesc-PowerUp modules, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1574.008", "score": 3, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can discover and exploit DLL hijacking opportunities, path interception opportunities in the PATH environment variable, search order hijacking vulnerabilities, and unquoted path vulnerabilities, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect file changes on VMs indicative of Path Interception by Search Order Hijacking."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of these sub-techniques via the Privesc-PowerUp modules, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1574.009", "score": 3, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can discover and exploit DLL hijacking opportunities, path interception opportunities in the PATH environment variable, search order hijacking vulnerabilities, and unquoted path vulnerabilities, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect file changes on VMs indicative of Path Interception by Unquoted Path."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of these sub-techniques via the Privesc-PowerUp modules, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1578", "score": 2, "comment": " Related to: \n \u2022azure_role_based_access_control\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Azure Resources assigned Public IP addresses\" query detect suspicious IP address changes."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial protection for all of its sub-techniques and therefore its coverage score factor is Partial, resulting in a Partial score."}]}, {"techniqueID": "T1580", "score": 6, "comment": " Related to: \n \u2022defender_for_resource_manager\n\u2022azure_policy\n\u2022defender_for_open_source_databases\n\u2022microsoft_sentinel\n\u2022azure_role_based_access_control\n\u2022defender_for_key_vault", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Hunting \"Azure storage key enumeration\" query can identify potential attempts by an attacker to discover cloud infrastructure resources."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to enable Azure services that limit access to cloud infrastructure. Several Azure services and controls provide mitigations against cloud infrastructure discovery."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to limit the number of users that have privileges to discover cloud infrastructure thereby reducing an organization's cloud infrastructure attack surface."}, {"divider": true}, {"name": "control", "value": "defender_for_key_vault"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on suspicious access of key vaults, including suspicious listing of key vault contents. This control does not alert on discovery of other cloud services, such as VMs, snapshots, cloud storage and therefore has minimal coverage. Suspicious activity based on patterns of access from certain users and applications allows for managing false positive rates."}, {"divider": true}, {"name": "control", "value": "defender_for_open_source_databases"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect unusual activity related to cloud data object storage enumeration."}, {"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on Cloud Infrastructure Discovery activity generated by specific toolkits, such as MicroBurst, PowerZure, etc. It may not generate alerts on undocumented discovery  techniques or exploitation toolkits. The following alerts may be  generated: \"PowerZure exploitation toolkit used to enumerate storage containers, shares, and tables\", \"PowerZure exploitation toolkit used to enumerate resources\", \"MicroBurst exploitation toolkit used to enumerate resources in your subscriptions\", \"Azurite toolkit run detected\"."}]}, {"techniqueID": "T1590", "score": 3, "comment": " Related to: \n \u2022azure_firewall\n\u2022azure_policy\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control detects a highly specific behavior that applies to one sub-technique of this technique."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can prevent the gathering of victim network information via scanning methods but is not effective against methods such as Phishing resulting in a Partial coverage score and an overall Partial score."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to restrict access to cloud resources from public networks and to route traffic between resources through Azure. Recommendations are also provided to use private DNS zones. If these recommendations are implemented the visible network information should be reduced."}]}, {"techniqueID": "T1590.002", "score": 2, "comment": " Related to: \n \u2022azure_policy\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Rare client observed with high reverse DNS lookup count\" query can detect if a particular IP is observed performing an unusually high number of reverse DNS lookups and has not been observed doing so previously."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against gathering victim networking information."}]}, {"techniqueID": "T1595", "score": 5, "comment": " Related to: \n \u2022azure_firewall\n\u2022defender_for_open_source_databases\n\u2022microsoft_sentinel\n\u2022azure_web_application_firewall\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Malformed user agent\" query can detect hard-coded user-agent strings associated with some vulnerability scanning tools.\nThis control provides partial coverage for only one of this technique's sub-techniques, resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides Partial protection for its sub-techniques resulting in an overall Partial score."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect web applications from active scanning by an adversary. Because this protection is specific to web applications (although frequent targets) and not other application types, it has been scored as Partial."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides detection for one of its two sub-techniques, resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "defender_for_open_source_databases"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect traffic patterns and packet inspection associated to protocols that do not follow the expected protocol standards and traffic flows (e.g., extraneous packets that do not belong to established flows)."}]}, {"techniqueID": "T1595.002", "score": 4, "comment": " Related to: \n \u2022azure_web_application_firewall\n\u2022azure_firewall\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"High count of connections by client IP on many ports\" query can identify client IP addresses with 30 or more active ports used within a ten minute window, checked at a default frequency of once per hour, which may indicate scanning. Note that false positives are probable based on changes in usage patterns and/or misconfiguration, and this detection only works if scanning is not spread out over a longer timespan."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's threat intelligence-based filtering feature can be enabled to alert and deny traffic from/to known malicious IP addresses and domains. The IP addresses and domains are sourced from the Microsoft Threat Intelligence feed.  Because this protection is limited to known malicious IP addresses and domains and does not provide protection from such attacks from unknown domains and IP addresses, this is scored as partial coverage resulting in an overall Partial score."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect active scanning."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Focuses on web vulnerability scanning of OWASP Core Rule Set (CRS)."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control monitors for web fingerprinting tools including nmap and Blind Elephant, as well as scanners looking for vulnerability in applications like Drupal, Joomla, and WordPress. Temporal factor is unknown."}]}, {"techniqueID": "T1016.002", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Microsoft Sentinel's ability to detect entities scanning the network configuration also covers the scanning of Wi-Fi connections, providing a detection mechanism against this technique."}]}, {"techniqueID": "T1021.007", "score": 6, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022alerts_for_linux_machines\n\u2022azure_network_security_groups\n\u2022docker_host_hardening\n\u2022microsoft_sentinel\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can acquire network configuration information including DNS servers and network proxies used by a host, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against abuse of remote cloud services."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect abuse of remote services."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against abuse of remote cloud services."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous network traffic associated with abuse of remote cloud services."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against abuse of remote cloud services."}]}, {"techniqueID": "T1021.008", "score": 6, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022alerts_for_linux_machines\n\u2022azure_network_security_groups\n\u2022docker_host_hardening\n\u2022microsoft_sentinel\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can acquire network configuration information including DNS servers and network proxies used by a host, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against abuse of direct cloud VM connections."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect direct cloud VM connections."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against abuse of direct cloud VM connections."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect direct cloud VM connections."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against abuse of direct cloud VM connections."}]}, {"techniqueID": "T1059.010", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Microsoft Sentinel can potentially detect the use of malicious code, including automation scripts."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect supicious usage of commands and scripts."}]}, {"techniqueID": "T1059.011", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Microsoft Sentinel can potentially detect the use of malicious code, including Lua scripts."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect supicious usage of commands and scripts."}]}, {"techniqueID": "T1070.010", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Microsoft Sentinel's ability to detect suspicious activity could detect malware relocation occurring on a system or network."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect changes to files associated with this technique."}]}, {"techniqueID": "T1071.005", "score": 4, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022alerts_for_azure_network_layer\n\u2022azure_firewall\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Microsoft Sentinel can ingest pub/sub logs to determine if pub/sub protocol channels have been used for malicious activity. However, these determinations are met using a set of threat detection rules, meaning that adversaries who are able to skirt those rules may not be detected, leading to a partial rating."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can identify connections to known malicious sites. "}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can filter network traffic on ports associated with this technique."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous application protocol traffic related to this technique."}]}, {"techniqueID": "T1496.001", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potential compute hijacking based on anomolies in access and usage patterns: \"Anomalous Resource Creation and related Network Activity\", \"Creation of an anomalous number of resources\".\nThe following Microsoft Sentinel Analytis queries can identify potential resource hijacking: \"Creation of Expensive Computes in Azure\" and \"Suspicious number of resource creation or deployed\" [sic] can identify suspicious outliers in resource quantities requested. \"Suspicious Resource deployment\" can identify deployments from new, potentially malicious, users. \"Process execution frequency anomaly\" can identify execution that may indicate hijacking. \"DNS events related to mining pools\", can identify potential cryptocurrency mining activity."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control detects file downloads associated with digital currency mining as well as host data related to process and command execution associated with mining. It also includes fileless attack detection, which specifically targets crypto mining activity. Temporal factor is unknown."}]}, {"techniqueID": "T1496.002", "score": 3, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potential compute hijacking based on anomolies in access and usage patterns: \"Anomalous Resource Creation and related Network Activity\", \"Creation of an anomalous number of resources\".\nThe following Microsoft Sentinel Analytis queries can identify potential resource hijacking: \"Creation of Expensive Computes in Azure\" and \"Suspicious number of resource creation or deployed\" [sic] can identify suspicious outliers in resource quantities requested. \"Suspicious Resource deployment\" can identify deployments from new, potentially malicious, users. \"Process execution frequency anomaly\" can identify execution that may indicate hijacking. \"DNS events related to mining pools\", can identify potential cryptocurrency mining activity."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can be configured to limit bandwidth available to connections."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect anomalous network traffic indicative of bandwidth hijacking."}]}, {"techniqueID": "T1496.003", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potential compute hijacking based on anomolies in access and usage patterns: \"Anomalous Resource Creation and related Network Activity\", \"Creation of an anomalous number of resources\".\nThe following Microsoft Sentinel Analytis queries can identify potential resource hijacking: \"Creation of Expensive Computes in Azure\" and \"Suspicious number of resource creation or deployed\" [sic] can identify suspicious outliers in resource quantities requested. \"Suspicious Resource deployment\" can identify deployments from new, potentially malicious, users. \"Process execution frequency anomaly\" can identify execution that may indicate hijacking. \"DNS events related to mining pools\", can identify potential cryptocurrency mining activity."}]}, {"techniqueID": "T1496.004", "score": 3, "comment": " Related to: \n \u2022ai_threat_protection\n\u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The following Microsoft Sentinel Hunting queries can identify potential resource hijacking based on anomolies in access and usage patterns: \"Anomalous Resource Creation and related Network Activity\", \"Creation of an anomalous number of resources\".\nThe following Microsoft Sentinel Analytis queries can identify potential resource hijacking: \"Creation of Expensive Computes in Azure\" and \"Suspicious number of resource creation or deployed\" [sic] can identify suspicious outliers in resource quantities requested. \"Suspicious Resource deployment\" can identify deployments from new, potentially malicious, users. \"Process execution frequency anomaly\" can identify execution that may indicate hijacking. \"DNS events related to mining pools\", can identify potential cryptocurrency mining activity."}, {"divider": true}, {"name": "control", "value": "ai_threat_protection"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability has multiple alerts (AI.Azure_DOWDuplicateRequests, AI.Azure_DOWVolumeAnomaly) that can detect abuse of an AI for financial impact on an organization."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control detects file downloads associated with digital currency mining as well as host data related to process and command execution associated with mining. It also includes fileless attack detection, which specifically targets crypto mining activity. Temporal factor is unknown."}]}, {"techniqueID": "T1543.005", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can modify service binaries and restore them to their original states, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when commands associated with container services are executed, such as docker or podman."}]}, {"techniqueID": "T1547.013", "score": 2, "comment": " Related to: \n \u2022alerts_for_linux_machines\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can enumerate SSPs, install malicious SSPs, persist by modifying .lnk files to include backdoors, and modify the registry run keys, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect command execution associated with xdg modification."}]}, {"techniqueID": "T1547.014", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can enumerate SSPs, install malicious SSPs, persist by modifying .lnk files to include backdoors, and modify the registry run keys, but does not address other procedures."}, {"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect commands or registry key modifications associated with Active Setup such as HKEY_LOCAL_MACHINE\\SOFTWARE\\Microsoft\\Active Setup\\Installed Components\\."}]}, {"techniqueID": "T1547.015", "score": 1, "comment": " Related to: \n \u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The Microsoft Sentinel Analytics \"Powershell Empire cmdlets seen in command line\" query can detect the use of Empire, which can enumerate SSPs, install malicious SSPs, persist by modifying .lnk files to include backdoors, and modify the registry run keys, but does not address other procedures."}]}, {"techniqueID": "T1648", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022microsoft_sentinel", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_sentinel"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Integrating Azure Functions with Azure Monitor Logs and Microsoft Sentinel can provide insights into Serverless Execution activities and unusual Serverless function modifications."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can protect against abuse of Azure Functions."}]}, {"techniqueID": "T1537", "score": 2, "comment": " Related to: \n \u2022defender_for_storage\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_storage"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on unusually large amounts of data being extracted from Azure storage and suspicious access to storage accounts. There are no alerts specifically tied to data transfer between cloud accounts but there are several alerts for anomalous storage access and transfer."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to enable security controls that monitor and prevent malicious transfer of data to cloud accounts."}]}, {"techniqueID": "T1546.010", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The detection score for this group of sub-techniques is assessed as Minimal due to the accuracy component of the score. The registry keys which are modified as a result of these sub-techniques can change frequently or are too numerous to monitor and therefore can result in significant amount of false positives.\n"}]}, {"techniqueID": "T1546.015", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "The detection score for this group of sub-techniques is assessed as Minimal due to the accuracy component of the score. The registry keys which are modified as a result of these sub-techniques can change frequently or are too numerous to monitor and therefore can result in significant amount of false positives.\n"}]}, {"techniqueID": "T1562.004", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "There are numerous ways depending on the operating system that these sub-techniques can be accomplished.  Monitoring the Windows Registry is one way depending on the procedure chosen to implement the sub-technique and therefore the overall coverage is low."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on manipulation of the on-host firewall. Firewall rules should not be changed often in a standard environment and such an event can provide a high fidelity alert."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect modification of the Windows firewall through use of netsh.exe or using a method that matches a known threat actor. The following alerts may be generated: \"Malicious firewall rule created by ZINC server implant [seen multiple times]\", \"Detected suspicious new firewall rule\"."}]}, {"techniqueID": "T1036.007", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when files with two file extensions are created."}]}, {"techniqueID": "T1036.008", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_antimalware_for_azure\n\u2022file_integrity_monitoring\n\u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect if files are created or edited where the header and extension do not match."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect if files are created or edited where the header and extension do not match."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect if commands are executed that are otherwise non-executable file types."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect from malware."}]}, {"techniqueID": "T1037", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect abuse of boot or logon initialization scripts."}]}, {"techniqueID": "T1037.001", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry upon creation or modification of logon scripts. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1037.003", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry upon creation or modification of logon scripts. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1053.001", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry upon creation or modification of scheduled tasks. This control may also detect changes to files used by cron or systemd to create/modify scheduled tasks.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1053.002", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry upon creation or modification of scheduled tasks. This control may also detect changes to files used by cron or systemd to create/modify scheduled tasks.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1053.006", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry upon creation or modification of scheduled tasks. This control may also detect changes to files used by cron or systemd to create/modify scheduled tasks.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing the addition or modification of config files in Kubernetes containers required to implement the behaviors described in these sub-techniques.   Because this is a recommendation, and specific to Kubernetes containers, its score is assessed as Minimal."}]}, {"techniqueID": "T1070.007", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect changes to files associated with this technique."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can monitor for executed commands associated with this technique."}]}, {"techniqueID": "T1070.008", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect changes to files associated with this technique."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can monitor for executed commands associated with this technique."}]}, {"techniqueID": "T1070.009", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect changes to files associated with this technique."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can monitor for executed commands associated with this technique."}]}, {"techniqueID": "T1098.004", "score": 3, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022alerts_for_linux_machines\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the SSH authorized keys file which may indicate establishment of persistence. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing modification of a Kubernetes container's file system which can mitigate this technique.  Because this recommendation is specific to Kubernetes containers, its score is Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on addition of new SSH keys to the authorized key file and unusual process access of the authorized key file."}]}, {"techniqueID": "T1137.002", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry to establish persistence with the Office Test sub-technique. The specificity of registry keys involved may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1222", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect file and directory permissions modification."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can mitigate a sub-technique of this technique.  Due to its Minimal coverage, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides minimal detection for some of this technique's sub-techniques resulting in an overall score of Minimal. "}]}, {"techniqueID": "T1222.001", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect changes to the permissions of Windows and Linux files and can be used to detect modifications to sensitive directories and files that shouldn't  change frequently. This control at worst scans for changes on an hourly basis."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may detect the usage of cacls.exe to modify file and directory permissions. The following alerts may be generated: \"Detected suspicious use of Cacls to lower the security state of the system\"."}]}, {"techniqueID": "T1222.002", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect changes to the permissions of Windows and Linux files and can be used to detect modifications to sensitive directories and files that shouldn't  change frequently. This control at worst scans for changes on an hourly basis."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing the modification of the file system permissions in Kubernetes containers thereby mitigating this sub-technique.  Because this is a recommendation, and specific to Kubernetes containers, its score is assessed as Minimal."}]}, {"techniqueID": "T1505.004", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when files associated with the technique are created or modified, such as %windir%\\system32\\inetsrv\\config\\applicationhost.config."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when commands associated with installing IIS web servers are executed, such as AppCmd.exe."}]}, {"techniqueID": "T1505.005", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when files or registry keys associated with this technique are created or modified, such as termsrv.dll and ServiceDll."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when commands associated with this technique are executed, such as reg.exe."}]}, {"techniqueID": "T1543.002", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry upon creation or modification of Windows services. This control may also detect changes to files used by systemd to create/modify systemd services.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing the addition or modification of systemd service files in Kubernetes containers thereby mitigating this sub-technique.  Because this is a recommendation, and specific to Kubernetes containers, its score is assessed as Minimal."}]}, {"techniqueID": "T1546.001", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that indicate event triggered execution.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1546.002", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that indicate event triggered execution.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect when a suspicious screensaver process is executed, based on the location of the .scr file.  Because this detection is based solely on the location of the file, it has been scored as Partial. The following alerts may be generated: \"Suspicious Screensaver process executed\"."}]}, {"techniqueID": "T1546.004", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that indicate event triggered execution.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing the addition or modification of the file system in Kubernetes containers thereby mitigating this sub-technique.  Because this is a recommendation, and specific to Kubernetes containers, its score is assessed as Minimal."}]}, {"techniqueID": "T1546.007", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that indicate event triggered execution.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1546.009", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that indicate event triggered execution.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1546.011", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that indicate event triggered execution.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1546.012", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that indicate event triggered execution.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1546.013", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that indicate event triggered execution.  The specificity of registry keys and files used in creation or modification of these scheduled tasks may reduce the false positive rate. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1546.016", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect event triggered execution via installer packages."}]}, {"techniqueID": "T1546.017", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect event triggered execution via udev rules."}]}, {"techniqueID": "T1547.002", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that enable Boot or Logon Autostart Execution. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1547.003", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that enable Boot or Logon Autostart Execution. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1547.004", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that enable Boot or Logon Autostart Execution. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1547.006", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that enable Boot or Logon Autostart Execution. This control at worst scans for changes on an hourly basis.\n"}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on a suspicious shared object file being loaded as a kernel module. No documentation is provided on the logic but kernel module loading is a relatively rare event and can only be done with a small set of commands."}]}, {"techniqueID": "T1547.008", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that enable Boot or Logon Autostart Execution. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1547.010", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that enable Boot or Logon Autostart Execution. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1547.012", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the Windows registry or files that enable Boot or Logon Autostart Execution. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1548.003", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the sudoers file which may indicate privilege  escalation. This control at worst scans for changes on an hourly basis.\n"}]}, {"techniqueID": "T1553", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022azure_dedicated_hsm", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to detect a subset of this technique's sub-techniques while minimizing the false positive rate."}, {"divider": true}, {"name": "control", "value": "azure_dedicated_hsm"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Provides protection against sub-techniques involved with stealing credentials / certificates / keys from the organization."}]}, {"techniqueID": "T1553.003", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect modifications made to the Registry keys used to register Windows Subject Interface Packages (SIPs). Because this sub-technique can be accomplished without modifying the Registry via DLL Search Order Hijacking, it has been scored as Partial. The related Registry keys should not change often and therefore the false positive rate should be minimal. This control at worst scans for changes on an  hourly basis."}]}, {"techniqueID": "T1553.004", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022azure_dedicated_hsm", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to detect when the system root certificates has changed by detecting the corresponding Registry or File system modifications that occur as a result.  These root certificates should not change often and therefore the false positive rate is minimal. This control at worst scans for changes on an hourly basis."}, {"divider": true}, {"name": "control", "value": "azure_dedicated_hsm"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Certificate credentials can be vaulted in an HSM thereby reducing its attack surface."}]}, {"techniqueID": "T1556.002", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The Registry key used to register a Password Filter DLL can be monitored for changes using this control providing substantial coverage of this sub-technique.  This key should not change often and therefore false positives should be minimal. This control at worst scans for changes on an hourly basis."}]}, {"techniqueID": "T1556.003", "score": 2, "comment": " Related to: \n \u2022file_integrity_monitoring\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "The PAM configuration and module paths (/etc/pam.d/) can be monitored for changes using this control.  The files in this path should not change often and therefore false positives should be minimal. This control at worst scans for changes on an hourly basis."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\"  recommendation can lead to preventing this sub-technique which often modifies  Pluggable Authentication Modules (PAM) components in the file system.  Because this is a recommendation, and specific to Kubernetes containers, its score is assessed as Minimal."}]}, {"techniqueID": "T1556.007", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can monitor for suspicious modification of files associated with hybrid identity authentication processes, such as configuration files."}]}, {"techniqueID": "T1556.008", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can monitor for creation or changes to registry keys associated with network provider DLL such as HKEY_LOCAL_MACHINE\\SYSTEM\\CurrentControlSet\\Services\\<NetworkProviderName>\\NetworkProvider and HKEY_LOCAL_MACHINE\\SYSTEM\\CurrentControlSet\\Control\\NetworkProvider\\Order."}]}, {"techniqueID": "T1564.008", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when files are modified related to email rules such as RulesActiveState.plist, SyncedRules.plist, UnsyncedRules.plist, and MessageRules.plist on MacOS."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when commands are run on VMs that can indicate creation or modification of email rules such as New-InboxRule, Set-InboxRule, New-TransportRule, and Set-TransportRule."}]}, {"techniqueID": "T1564.009", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022file_integrity_monitoring\n\u2022devops_security", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when files are created or modified related to resource forking."}, {"divider": true}, {"name": "control", "value": "devops_security"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can provide DevOps guidance that applications should use the application bundle structure which leverages the /Resources folder location to mitigate resource forking."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when commands are run related to resource forking."}]}, {"techniqueID": "T1564.012", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when files are created in folders associated with or spoofing that of trusted applications."}]}, {"techniqueID": "T1574.006", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect changes to the ld.so.preload file which may indicate an attempt to hijack execution flow. This sub-technique may also be utilized through an environment  variable which this control may not detect. This control at worst scans for changes on an  hourly basis.\n"}]}, {"techniqueID": "T1574.014", "score": 1, "comment": " Related to: \n \u2022file_integrity_monitoring", "metadata": [{"divider": true}, {"name": "control", "value": "file_integrity_monitoring"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect file changes on VMs indicative of hijacking of the AppDomainManager."}]}, {"techniqueID": "T1525", "score": 5, "comment": " Related to: \n \u2022defender_for_containers\n\u2022ai_security_recommendations\n\u2022azure_policy\n\u2022alerts_for_linux_machines\n\u2022docker_host_hardening", "metadata": [{"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on Docker containers that are misconfigured or do not conform to CIS Docker Benchmarks. This may result in detection of container images implanted within Linux VMs with specific vulnerabilities or misconfigurations for malicious purposes."}, {"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Container images should be deployed from trusted registries only\", \"Container registries should not allow unrestricted network access\" and \"Container registries should use private link\" recommendations can lead to ensuring that container images are only loaded from trusted registries thereby mitigating this technique."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on suspicious container images running mining software or SSH servers. Privileged Docker containers and privileged commands running within containers may also be detected. These alerts are only generated on containers in Linux endpoint machines and not for containers running from Azure Docker deployment."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to enable scanning and auditing of container images. This can provide information on images that have been added with high privileges or vulnerabilities."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may scan and alert on import or creation of container images with known vulnerabilities or a possible expanded surface area for exploitation."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on containers with sensitive volume mounts, unneeded privileges, or running an image with digital currency mining software."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may prevent adversaries from implanting malicious container images through fine grained permissions and use of container image tag signing. Image tag signing allows for verifiable container images that have been signed with legitimate keys."}]}, {"techniqueID": "T1005", "score": 2, "comment": " Related to: \n \u2022defender_for_app_service\n\u2022docker_host_hardening", "metadata": [{"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations that limit the ability of an attacker to gain access to a host from a container, preventing the attacker from discovering and compromising local system data."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this technique via the Exfiltration modules on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1548.001", "score": 1, "comment": " Related to: \n \u2022docker_host_hardening", "metadata": [{"divider": true}, {"name": "control", "value": "docker_host_hardening"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to remove setuid and setguid permissions from container images. It may not be feasible to audit and remediate all binaries that have and require setuid and setguid permissions."}]}, {"techniqueID": "T1213.003", "score": 1, "comment": " Related to: \n \u2022devops_security", "metadata": [{"divider": true}, {"name": "control", "value": "devops_security"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against repository misconfigurations."}]}, {"techniqueID": "T1593.003", "score": 1, "comment": " Related to: \n \u2022devops_security", "metadata": [{"divider": true}, {"name": "control", "value": "devops_security"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect code repositories by employing DevSecOps best practices."}]}, {"techniqueID": "T1189", "score": 6, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022vulnerability_management\n\u2022alerts_for_windows_machines\n\u2022azure_update_manager\n\u2022defender_for_app_service\n\u2022devops_security", "metadata": [{"divider": true}, {"name": "control", "value": "devops_security"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can protect against drive by compromise by ensuring application security is baked into DevOps."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate. The following alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect suspicious script execution over a network."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control protects against a subset of drive-by methods that leverage unpatched client software since it enables automated updates of software and rapid configuration change management"}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode injected into browser or other process memory as part of a drive-by attack. Detection is periodic at an unknown rate."}, {"divider": true}, {"name": "control", "value": "vulnerability_management"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Once this control is deployed, it can detect known vulnerabilities in Windows and various Linux endpoints. This information can be used to patch, isolate, or remove vulnerable software and machines. This control does not directly protect against exploitation and it is not effective against zero day attacks, vulnerabilities with no available patch, and software that may not be analyzed by the scanner. As a result, the score is capped at Partial."}]}, {"techniqueID": "T1499", "score": 6, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_ddos_protection\n\u2022ai_security_recommendations\n\u2022azure_network_security_groups\n\u2022azure_update_manager\n\u2022azure_private_link", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides recommendations for limiting the CPU and memory resources consumed by a container to minimize resource exhaustion attacks.  Because this control only covers one sub-technique of this technique, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "azure_ddos_protection"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Protects against volumetric and protocol DOS, though not application."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial protection for a majority of this control's sub-techinques and procedure examples resulting in overall score of Partial."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can identify volumetric and multi-sourced denial-of-service attacks."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Prevents Denial of Service (DOS) against systems that would otherwise need to connect via an internet-traversing path (coverage partial, since doesn't apply to systems that must be directly exposed to the Internet)"}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides protection against the subset of Denial of Service (DOS) attacks that leverage system/application vulnerabilities as opposed to volumetric attacks since it enables automated updates of software and rapid configuration change management."}]}, {"techniqueID": "T1564", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022alerts_for_linux_machines\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can mitigate some of the sub-techniques of this technique.  Due to its partial coverage and Minimal score assessed for its sub-techniques, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides coverage for a minority of this technique's relevant sub-techniques, resulting in a score of Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques resulting in a Minimal Coverage score and consequently an overall score of Minimal."}]}, {"techniqueID": "T1564.001", "score": 2, "comment": " Related to: \n \u2022alerts_for_linux_machines\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing these sub-techniques which result in changes to the file system directly or indirectly during their execution.  Because this is a recommendation, and specific to Kubernetes containers, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on the execution of hidden files. Since this control is only triggered on execution, it may not fire on a variety of hidden files or directories that are being utilized for malicious purposes."}]}, {"techniqueID": "T1564.005", "score": 1, "comment": " Related to: \n \u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing these sub-techniques which result in changes to the file system directly or indirectly during their execution.  Because this is a recommendation, and specific to Kubernetes containers, its score is assessed as Minimal."}]}, {"techniqueID": "T1564.006", "score": 2, "comment": " Related to: \n \u2022alerts_for_linux_machines\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing these sub-techniques which result in changes to the file system directly or indirectly during their execution.  Because this is a recommendation, and specific to Kubernetes containers, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on containers using privileged commands, running SSH servers, or running mining software."}]}, {"techniqueID": "T1565", "score": 3, "comment": " Related to: \n \u2022azure_vpn_gateway\n\u2022azure_private_link\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to mitigating a sub-technique of this technique by preventing modification of the local filesystem.  Due to it being a recommendation and mitigating only one sub-technique, its score is assessed as Minimal."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control provides partial protection for one of this technique's sub-techniques resulting in an overall Minimal score."}, {"divider": true}, {"name": "control", "value": "azure_vpn_gateway"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides significant protection against one sub-technique (Transmitted Data Manipulation)  of this technique while not providing protection for its remaining sub-techniques resulting in overall score of Partial."}]}, {"techniqueID": "T1133", "score": 7, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022ai_security_recommendations\n\u2022just-in-time_vm_access\n\u2022azure_firewall\n\u2022azure_network_security_groups\n\u2022azure_policy\n\u2022alerts_for_azure_network_layer", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Management ports should be closed on your virtual machines\" recommendation can lead to reducing the attack surface of your Azure VMs by recommending closing management ports.  Because this is a recommendation, its score is limited to Partial."}, {"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can potentially identify malicious use of remote services via alerts such as \"Suspicious incoming RDP network activity\" and \"Suspicious Incoming SSH network activity\"."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can limit access to external remote services to the minimum necessary."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict direct access to remote service gateways and concentrators that typically accompany external remote services.  This can be circumvented though if an adversary is able to compromise a trusted host and use it to access the external remote service. This results in an overall partial (coverage) score."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can identify anomalous access to external remote services."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to secure external remote services, such as restricting SSH access, enabling multi-factor authentication for VPN access, and auditing external remote services that are not necessary or updated."}, {"divider": true}, {"name": "control", "value": "just-in-time_vm_access"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can be configured to completely block inbound access to selected ports until access is requested. This prevents any attempt at utilizing external remote services, such as RDP or a VPN, unless the attacker has the credentials and permissions to request such access. Even if permission has been granted to an authorized user to access the virtual machine, a list of authorized IP addresses for that access can be configured."}]}, {"techniqueID": "T1499.001", "score": 5, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_ddos_protection\n\u2022ai_security_recommendations\n\u2022azure_network_security_groups\n\u2022azure_private_link", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Container CPU and memory limits should be enforced\" recommendation can lead to preventing resource exhaustion attacks by recommending enforcing limits for containers to ensure the runtime prevents the container from using more than the configured resource limit. Because this is a recommendation, its score is capped at Partial."}, {"divider": true}, {"name": "control", "value": "azure_ddos_protection"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can protect against endpoint denial of service attacks."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict access to endpoints and thereby mitigate low-end DOS attacks."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect endpoint denial of service attacks."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against endpoint denial of service attacks."}]}, {"techniqueID": "T1542", "score": 3, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides recommendations for enabling Secure Boot of Linux VMs that can mitigate a few of the sub-techniques of this technique.  Because this is a recommendation and only limited to a few sub-techniques of this technique, its assessed score is Partial."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Provides protection coverage for only one sub-technique partially (booting from remote devies ala TFTP boot) resulting in an overall score of Minimal."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify anomalous traffic related to one of its sub-techniques (TFTP boot)."}]}, {"techniqueID": "T1542.001", "score": 1, "comment": " Related to: \n \u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Secure Boot should be enabled on your Linux virtual machine\" and \"Virtual machines should be attested for boot integrity health\" recommendations can lead to enabling secure boot on Linux VMs to mitigate these sub-techniques.  Because this recommendation is specific to Linux VM and is a recommendation, its score is capped at Partial."}]}, {"techniqueID": "T1542.003", "score": 1, "comment": " Related to: \n \u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Secure Boot should be enabled on your Linux virtual machine\" and \"Virtual machines should be attested for boot integrity health\" recommendations can lead to enabling secure boot on Linux VMs to mitigate these sub-techniques.  Because this recommendation is specific to Linux VM and is a recommendation, its score is capped at Partial."}]}, {"techniqueID": "T1554", "score": 2, "comment": " Related to: \n \u2022azure_update_manager\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to preventing modification of binaries in Kubernetes containers thereby mitigating this technique.  Because this is a recommendation, its score is capped at Partial."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial protection against compromised client software binaries since it can provide a baseline to compare with potentially compromised/modified software binaries."}]}, {"techniqueID": "T1562.010", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may prevent downgrade attacks by enforcing use of HTTPS protocol."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect executed commands indicative of indicative of attempts to abuse older or deprecated technologies (ex: powershell \u2013v 2)."}]}, {"techniqueID": "T1565.001", "score": 1, "comment": " Related to: \n \u2022ai_security_recommendations", "metadata": [{"divider": true}, {"name": "control", "value": "ai_security_recommendations"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's \"Immutable (read-only) root filesystem should be enforced for containers\" recommendation can lead to mitigating this sub-technique by preventing modification of the local filesystem.  \n\nLikewise this control's recommendations related to using customer-managed keys to encrypt data at rest and enabling transparent data encryption for SQL databases can mitigate this sub-technique by reducing an adversary's ability to perform tailored data modifications.\n\nDue to it being a recommendation, its score is capped at Partial."}]}, {"techniqueID": "T1491", "score": 2, "comment": " Related to: \n \u2022azure_backup\n\u2022ai_threat_protection", "metadata": [{"divider": true}, {"name": "control", "value": "ai_threat_protection"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can alert (using AI.Azure_MaliciousUrl.ModelResponse) when an AI model has shared a malicious URL with a user."}, {"divider": true}, {"name": "control", "value": "azure_backup"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Data backups provide a significant response to data defacement attacks by enabling the restoration of data from backup."}]}, {"techniqueID": "T1071.002", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022alerts_for_azure_network_layer", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify connections to known malicious sites. Scored minimal since the malicious sites must be on a block list. "}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous application protocol traffic with respect to network security group (NSG) (though web traffic would be typically too commonplace for this control to be useful)."}]}, {"techniqueID": "T1071.003", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022alerts_for_azure_network_layer", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_azure_network_layer"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can identify connections to known malicious sites. Scored minimal since the malicious sites must be on a block list. "}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous application protocol traffic with respect to network security group (NSG) (though web traffic would be typically too commonplace for this control to be useful)."}]}, {"techniqueID": "T1572", "score": 1, "comment": " Related to: \n \u2022alerts_for_dns", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_dns"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "Can identify protocol misuse/anomalies in DNS.  Because this detection is specific to DNS, its coverage score is Minimal resulting in an overall Minimal score."}]}, {"techniqueID": "T1568.001", "score": 2, "comment": " Related to: \n \u2022azure_dns_analytics\n\u2022alerts_for_dns", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_dns"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Detects \"random\" DNS name occurences, potentially indicative of Fast Flux or DGA. Potential false positives from benign \"random\" DNS names."}, {"divider": true}, {"name": "control", "value": "azure_dns_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can be used for after-the-fact analysis of potential fast-flux DNS C2"}]}, {"techniqueID": "T1027.004", "score": 1, "comment": " Related to: \n \u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may alert on suspicious compilation. No documentation is provided on the logic for determining a suspicious compilation event."}]}, {"techniqueID": "T1003.008", "score": 1, "comment": " Related to: \n \u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on suspicious access to encrypted user passwords. The documentation does not reference \"/etc/passwd\" and \"/etc/shadow\" directly nor does it describe the logic in determining suspicious access."}]}, {"techniqueID": "T1027.008", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect stripped payloads."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect stripped payloads."}]}, {"techniqueID": "T1027.009", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_antimalware_for_azure\n\u2022defender_for_app_service\n\u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect embedded payloads."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect embedded payloads."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against embedded payloads."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against embedded payloads."}]}, {"techniqueID": "T1027.010", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_antimalware_for_azure\n\u2022defender_for_app_service\n\u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect command obsfucation attacks."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect command obsfucation attacks."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against command obfuscation attacks."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against command obfuscation attacks."}]}, {"techniqueID": "T1027.013", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_antimalware_for_azure\n\u2022defender_for_app_service\n\u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect obsfucation via encrypted/encoded files."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect obsfucation via encrypted/encoded files."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against obsfucation via encrypted/encoded files."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against obsfucation via encrypted/encoded files."}]}, {"techniqueID": "T1027.014", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_antimalware_for_azure\n\u2022defender_for_app_service\n\u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect obsfucation via polymorphic code."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect obsfucation via polymorphic code."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against obsfucation via polymorphic code."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against obsfucation via polymorphic code."}]}, {"techniqueID": "T1070.002", "score": 1, "comment": " Related to: \n \u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on possible log tampering activity, including deletion of logs. No documentation is provided on which log sources are targeted by this control."}]}, {"techniqueID": "T1070.003", "score": 1, "comment": " Related to: \n \u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on clearing of the command history file. Documentation is not provided on the logic for detecting when the command history is cleared but on Linux machines the location of the history file tends not to change from the default."}]}, {"techniqueID": "T1555.002", "score": 1, "comment": " Related to: \n \u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect command execution associated with this technique."}]}, {"techniqueID": "T1555.005", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect command execution associated with this technique."}, {"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect command execution associated with this technique."}]}, {"techniqueID": "T1562.012", "score": 1, "comment": " Related to: \n \u2022alerts_for_linux_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_linux_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on activity which disables auditd logging on Linux endpoints. The auditd package may not be the only logging system being utilized and this control may not alert on activity that disables other logging software."}]}, {"techniqueID": "T1003.004", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may detect when the registry is modified to allow logon credentials to be stored in clear text in LSA memory. This change allows a threat actor to gain plain text credentials from the host machine. The following alerts may be generated: \"Detected enabling of the WDigest UseLogonCredential registry key\"."}]}, {"techniqueID": "T1048.001", "score": 4, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022azure_network_watcher_traffic_analytics\n\u2022azure_firewall\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may detect suspicious use of the Telegram tool for transferring malicious binaries across hosts. The following alerts may be generated: \"Detected potentially suspicious use of Telegram tool\"."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's threat intelligence-based filtering feature can be enabled to alert and deny traffic from/to known malicious IP addresses and domains. The IP addresses and domains are sourced from the Microsoft Threat Intelligence feed.  Because this protection is limited to known malicious IP addresses and domains and does not provide protection from such attacks from unknown domains and IP addresses, this is scored as partial coverage resulting in an overall Partial score."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can reduce the protocols available for data exfiltration. Temporal immediate, coverage substantial."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can identify anomalous traffic with respect specific ports (though it can't identify presence or lack of encryption)."}]}, {"techniqueID": "T1202", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may detect suspicious use of Pcalua.exe to launch executable code. There are other methods of indirect command execution that this control may not detect. The following alerts may be generated: \"Detected suspicious use of Pcalua.exe to launch executable code\"."}]}, {"techniqueID": "T1218", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control's detection is specific to a minority of this technique's sub-techniques resulting in a Minimal Coverage score and consequently an overall score of Minimal."}]}, {"techniqueID": "T1489", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may detect when critical services have been disabled through the usage of specifically net.exe. The following alerts may be generated: \"Detected the disabling of critical services\"."}]}, {"techniqueID": "T1053.007", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_containers", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when commands associated with this technique are executed."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when containers are created."}]}, {"techniqueID": "T1055.001", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate. The following  alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1055.002", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate. The following  alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1055.003", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate. The following  alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1055.004", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate. The following  alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1055.005", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate. The following  alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1055.011", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate. The following  alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1055.012", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate. The following  alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1055.013", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate. The following  alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1059.009", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_apis", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect supicious usage of commands and scripts."}, {"divider": true}, {"name": "control", "value": "defender_for_apis"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when anomalous parameters are passed to a cloud API that could indicate abuse of a command and scripting interpreter."}]}, {"techniqueID": "T1070.004", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect suspicious file cleanup commands and shadow copy deletion activity. The following alerts may be generated: \"Detected suspicious file cleanup commands\", \"Suspicious Volume Shadow Copy Activity\"."}]}, {"techniqueID": "T1112", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_azure_sql_databases", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect several methods used to modify the registry for purposes of persistence, privilege elevation, and execution. The following alerts may be generated: \"Detected change to a registry key that can be abused to bypass UAC\", \"Detected enabling of the WDigest UseLogonCredential registry key\", \"Detected suppression of legal notice displayed to users at logon\", \"Suspicious WindowPosition registry value detected\", \"Windows registry persistence method detected\"."}, {"divider": true}, {"name": "control", "value": "defender_for_azure_sql_databases"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may scan for any stored procedures that can access the Registry and checks that permission to execute those stored procedures have been revoked from all users (other than dbo)."}]}, {"techniqueID": "T1203", "score": 5, "comment": " Related to: \n \u2022vulnerability_management\n\u2022azure_policy\n\u2022alerts_for_windows_machines\n\u2022azure_update_manager\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate. The following alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations for vulnerability assessment and outdated applications and cloud services. This control covers a wide range of Azure cloud services to help reduce the surface area for exploitation."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control provides significant coverage for Exploitation for client execution methods that leverage unpatched vulnerabilities since it enables automated updates of software and rapid configuration change management."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate."}, {"divider": true}, {"name": "control", "value": "vulnerability_management"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Once this control is deployed, it can detect known vulnerabilities in Windows and various Linux endpoints. This information can be used to patch, isolate, or remove vulnerable software and machines. This control does not directly protect against exploitation and it is not effective against zero day attacks, vulnerabilities with no available patch, and software that may not be analyzed by the scanner. As a result, the score is capped at Partial."}]}, {"techniqueID": "T1204", "score": 6, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022defender_for_containers\n\u2022azure_firewall\n\u2022alerts_for_windows_machines\n\u2022microsoft_antimalware_for_azure\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides detection for one of the two sub-techniques of this technique,  Malicious File, resulting in a Partial Coverage score and consequently an overall score of Partial."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial protection for this technique."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect network traffic associated with this technique."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides meaningful detection for one of the technique's two sub-techniques, and the temporal factor is unknown, resulting in a score of Minimal."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect container behavior associated with this technique."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against user execution."}]}, {"techniqueID": "T1204.002", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022microsoft_antimalware_for_azure", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect the usage of a malware dropper and other indicators of a malicious file being executed by the user. The following alerts may be generated: \"Detected possible execution of keygen executable\", \"Detected possible execution of malware dropper\", \"Detected suspicious file creation\"."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control monitors activity in cloud services and on virtual machines to detect malware execution. This is dependent on a signature being available. "}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control monitors activity in cloud services and on virtual machines to block malware execution. This is dependent on a signature being available. "}]}, {"techniqueID": "T1204.003", "score": 3, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022azure_firewall\n\u2022defender_for_containers", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect when commands are executed that are associated with this technique."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can prevent malicious downloads associated with this technique."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect when containers are created or started."}]}, {"techniqueID": "T1211", "score": 5, "comment": " Related to: \n \u2022vulnerability_management\n\u2022azure_policy\n\u2022alerts_for_windows_machines\n\u2022azure_update_manager\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate. The following alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations for vulnerability assessment and outdated applications and cloud services. This control covers a wide range of Azure cloud services to help reduce the surface area for exploitation."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control provides significant coverage of defensive evasion methods that exploit unpatched vulnerabilities in software/systems since it enables automated updates of software and rapid configuration change management."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate."}, {"divider": true}, {"name": "control", "value": "vulnerability_management"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Once this control is deployed, it can detect known vulnerabilities in Windows and various Linux endpoints. This information can be used to patch, isolate, or remove vulnerable software and machines. This control does not directly protect against exploitation and it is not effective against zero day attacks, vulnerabilities with no available patch, and software that may not be analyzed by the scanner. As a result, the score is capped at Partial."}]}, {"techniqueID": "T1212", "score": 5, "comment": " Related to: \n \u2022vulnerability_management\n\u2022azure_policy\n\u2022alerts_for_windows_machines\n\u2022azure_update_manager\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate. The following alerts may be generated: \"Fileless attack technique detected\", \"Fileless attack behavior detected\", \"Fileless  attack toolkit detected\", \"Suspicious SVCHOST process executed\"."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations for vulnerability assessment and outdated applications and cloud services. This control covers a wide range of Azure cloud services to help reduce the surface area for exploitation."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control provides significant coverage of credential access techniques that leverage unpatched software vulnerabilities since it enables automated updates of software and rapid configuration change management."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies shellcode executing within process memory, including shellcode executed as a payload in the exploitation of a software vulnerability. Detection is periodic at an unknown rate."}, {"divider": true}, {"name": "control", "value": "vulnerability_management"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Once this control is deployed, it can detect known vulnerabilities in Windows and various Linux endpoints. This information can be used to patch, isolate, or remove vulnerable software and machines. This control does not directly protect against exploitation and it is not effective against zero day attacks, vulnerabilities with no available patch, and software that may not be analyzed by the scanner. As a result, the score is capped at Partial."}]}, {"techniqueID": "T1218.005", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect suspicious usage of Mshta to execute PowerShell and suspicious Rundll32 execution. The following alerts may be generated: \"Detected suspicious execution via rundll32.exe\", \"Detected suspicious combination of HTA and PowerShell\"."}]}, {"techniqueID": "T1218.011", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect suspicious usage of Mshta to execute PowerShell and suspicious Rundll32 execution. The following alerts may be generated: \"Detected suspicious execution via rundll32.exe\", \"Detected suspicious combination of HTA and PowerShell\"."}]}, {"techniqueID": "T1218.013", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect usage of the argument INJECTRUNNING which is required for mavinject.exe."}]}, {"techniqueID": "T1218.014", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect creation and usage of non-microsoft .msc files."}]}, {"techniqueID": "T1218.015", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect commands invoking teams.exe or chrome.exe and analyze whether they are being used to execute malicious or abnormal content."}]}, {"techniqueID": "T1553.006", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to monitor for the execution of commands that could modify the code signing policy of a system, such as bcdedit.exe -set TESTSIGNING ON."}]}, {"techniqueID": "T1555.004", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect command execution associated with this technique."}]}, {"techniqueID": "T1556.005", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can monitor for command execution related to reversible encryption such as -AllowReversiblePasswordEncryption $true."}]}, {"techniqueID": "T1562.009", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect executed commands indicative of changes to boot settings such as bcdedit.exe and bootcfg.exe"}]}, {"techniqueID": "T1563", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022azure_network_watcher_traffic_analytics", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial detection for some of this technique's sub-techniques  resulting in a Partial Coverage score and consequently an overall score of Partial."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to identify anomalous traffic related to RDP and SSH sessions or blocked attempts to access these management ports."}]}, {"techniqueID": "T1563.002", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022azure_network_watcher_traffic_analytics", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect RDP hijacking through use of the tscon.exe binary. The following alerts may be generated: \"Suspect integrity level indicative of RDP hijacking\", \"Suspect service installation\"."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect RDP hijacking."}]}, {"techniqueID": "T1564.003", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect usage of the WindowPosition Registry value to hide application windows in non-visible sections of the desktop. The following alerts may be generated: \"Suspicious WindowPosition registry value detected\"."}]}, {"techniqueID": "T1564.011", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when commands are run related to process interrupts such as nohup."}]}, {"techniqueID": "T1567.004", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect commands on VMs indicative of exfiltration over webhook."}]}, {"techniqueID": "T1574.013", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect windows API calls on VMs indicative of Hijacking Execution Flow via KernelCallBack table such as WriteProcessMemory() and NtQueryInformationProcess()."}]}, {"techniqueID": "T1612", "score": 2, "comment": " Related to: \n \u2022alerts_for_windows_machines\n\u2022defender_for_containers", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect execution of commands related to container creation."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect building a container image on the host."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can protect against building a container image on the host."}]}, {"techniqueID": "T1614", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect if commands associated with this technique such as GetLocaleInfoW are executed."}]}, {"techniqueID": "T1614.001", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect if commands associated with this technique are executed."}]}, {"techniqueID": "T1622", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect  system processes that indicate debugger evasion."}]}, {"techniqueID": "T1652", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect if commands associated with this technique are executed."}]}, {"techniqueID": "T1654", "score": 1, "comment": " Related to: \n \u2022alerts_for_windows_machines", "metadata": [{"divider": true}, {"name": "control", "value": "alerts_for_windows_machines"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect if commands associated with log enumeration (such as wevutil.exe on Windows and CollectGuestLogs.exe on Azure hosted VMs) are executed."}]}, {"techniqueID": "T1561.002", "score": 1, "comment": " Related to: \n \u2022azure_backup", "metadata": [{"divider": true}, {"name": "control", "value": "azure_backup"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Allows for recovery of disk content, though Disk structure wipes require additional procedures for recovery."}]}, {"techniqueID": "T1485.001", "score": 3, "comment": " Related to: \n \u2022azure_backup\n\u2022azure_role_based_access_control\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "azure_backup"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Data backups provide a significant response to data destruction by enabling the restoration of data from backup."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations that protect from lifecycle-triggered deletion."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can provide protection against life-cycle triggered deletion by restricting access to those functions."}]}, {"techniqueID": "T1491.001", "score": 1, "comment": " Related to: \n \u2022azure_backup", "metadata": [{"divider": true}, {"name": "control", "value": "azure_backup"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Data backups provide a significant response to external or internal data defacement attacks by enabling the restoration of data from backup."}]}, {"techniqueID": "T1491.002", "score": 1, "comment": " Related to: \n \u2022azure_backup", "metadata": [{"divider": true}, {"name": "control", "value": "azure_backup"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Data backups provide a significant response to external or internal data defacement attacks by enabling the restoration of data from backup."}]}, {"techniqueID": "T1561", "score": 1, "comment": " Related to: \n \u2022azure_backup", "metadata": [{"divider": true}, {"name": "control", "value": "azure_backup"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Data backups provide a significant response to disk wipe attacks by enabling the restoration of data from backup."}]}, {"techniqueID": "T1561.001", "score": 1, "comment": " Related to: \n \u2022azure_backup", "metadata": [{"divider": true}, {"name": "control", "value": "azure_backup"}, {"name": "category", "value": "respond"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Data backups provide a significant response to disk content wipe attacks by enabling the restoration of data from backup."}]}, {"techniqueID": "T1498", "score": 3, "comment": " Related to: \n \u2022azure_private_link\n\u2022azure_network_security_groups\n\u2022azure_ddos_protection", "metadata": [{"divider": true}, {"name": "control", "value": "azure_ddos_protection"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Designed to address multiple DDOS techniques including volumetric attacks."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict access to endpoints and thereby mitigate low-end network DOS attacks."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Prevents Denial of Service (DOS) against systems that would otherwise need to connect via an internet-traversing path (coverage partial, since doesn't apply to systems that must be directly exposed to the Internet)"}]}, {"techniqueID": "T1498.001", "score": 2, "comment": " Related to: \n \u2022azure_private_link\n\u2022azure_ddos_protection", "metadata": [{"divider": true}, {"name": "control", "value": "azure_ddos_protection"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can protect against network denial of service attacks."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against network denial of service attacks."}]}, {"techniqueID": "T1498.002", "score": 2, "comment": " Related to: \n \u2022azure_private_link\n\u2022azure_ddos_protection", "metadata": [{"divider": true}, {"name": "control", "value": "azure_ddos_protection"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can protect against network denial of service attacks."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against network denial of service attacks."}]}, {"techniqueID": "T1499.002", "score": 4, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_private_link\n\u2022azure_network_security_groups\n\u2022azure_ddos_protection", "metadata": [{"divider": true}, {"name": "control", "value": "azure_ddos_protection"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can protect against endpoint denial of service attacks."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict access to endpoints and thereby mitigate low-end DOS attacks."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect endpoint denial of service attacks."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against endpoint denial of service attacks."}]}, {"techniqueID": "T1499.003", "score": 4, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_private_link\n\u2022azure_network_security_groups\n\u2022azure_ddos_protection", "metadata": [{"divider": true}, {"name": "control", "value": "azure_ddos_protection"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can protect against endpoint denial of service attacks."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict access to endpoints and thereby mitigate low-end DOS attacks."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect endpoint denial of service attacks."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against endpoint denial of service attacks."}]}, {"techniqueID": "T1553.002", "score": 1, "comment": " Related to: \n \u2022azure_dedicated_hsm", "metadata": [{"divider": true}, {"name": "control", "value": "azure_dedicated_hsm"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Certificate credentials can be vaulted in an HSM thereby reducing its attack surface."}]}, {"techniqueID": "T1588", "score": 1, "comment": " Related to: \n \u2022azure_dedicated_hsm", "metadata": [{"divider": true}, {"name": "control", "value": "azure_dedicated_hsm"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Provides protection against sub-techniques involved with stealing credentials / certificates / keys from the organization."}]}, {"techniqueID": "T1588.003", "score": 1, "comment": " Related to: \n \u2022azure_dedicated_hsm", "metadata": [{"divider": true}, {"name": "control", "value": "azure_dedicated_hsm"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Certificate credentials can be vaulted in an HSM thereby reducing its attack surface."}]}, {"techniqueID": "T1588.004", "score": 1, "comment": " Related to: \n \u2022azure_dedicated_hsm", "metadata": [{"divider": true}, {"name": "control", "value": "azure_dedicated_hsm"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Certificate credentials can be vaulted in an HSM thereby reducing its attack surface."}]}, {"techniqueID": "T1584", "score": 2, "comment": " Related to: \n \u2022azure_dns_alias_records\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "azure_dns_alias_records"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides protection for one of this technique's sub-techniques while not providing any protection for the remaining and therefore its coverage score factor is Minimal, resulting in a Minimal score."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only addresses one of the technique's sub-techniques, resulting in a score of Minimal."}]}, {"techniqueID": "T1584.001", "score": 2, "comment": " Related to: \n \u2022azure_dns_alias_records\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "azure_dns_alias_records"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Alias records prevent dangling references by tightly coupling the life cycle of a DNS record with an Azure resource. For example, consider a DNS record that's qualified as an alias record to point to a public IP address or a Traffic Manager profile. If you delete those underlying resources, the DNS alias record becomes an empty record set. It no longer references the deleted resource.  This control is effective for protecting DNS records that resolve to Azure resources but does not offer protection for records pointing to non-Azure resources, resulting in a Partial score."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "Subdomain hijacking is a focus of this control, and its Dangling DNS detection alert feature is activated when an App Service website is decommissioned and its corresponding DNS entry is not deleted, allowing users to remove those entries before they can be leveraged by an adversary."}]}, {"techniqueID": "T1566", "score": 3, "comment": " Related to: \n \u2022azure_dns_analytics\n\u2022microsoft_antimalware_for_azure\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "azure_dns_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can be used forensically to identify DNS queries to known malicious sites, which may be evidence of phishing."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control only provides (minimal) protection for one of the technique's sub-techniques, resulting in a Minimal score."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can detect phishing."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can protect against phishing."}]}, {"techniqueID": "T1566.002", "score": 2, "comment": " Related to: \n \u2022azure_dns_analytics\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "azure_dns_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control can be used forensically to identify DNS queries to known malicious sites, which may be evidence of phishing."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control monitors for known phishing links on the Azure App Services website and generates alerts if they are detected, potentially preventing their access by users. This is a very specific avenue, only covers known links, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1557.003", "score": 1, "comment": " Related to: \n \u2022azure_firewall", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect DHCP spoofing by monitoring network traffic."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can protect against DHCP spoofing by restricting DHCP traffic to trusted DHCP servers."}]}, {"techniqueID": "T1567.003", "score": 1, "comment": " Related to: \n \u2022azure_firewall", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect exfiltration attempts to text storage sites."}, {"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect from exfiltration to text storage site by blocking unauthorized sites."}]}, {"techniqueID": "T1665", "score": 1, "comment": " Related to: \n \u2022azure_firewall", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect some traffic related to adversary command and control behavior."}]}, {"techniqueID": "T1008", "score": 1, "comment": " Related to: \n \u2022azure_firewall", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's threat intelligence-based filtering feature can be enabled to alert and deny traffic from/to known malicious IP addresses and domains. The IP addresses and domains are sourced from the Microsoft Threat Intelligence feed.  Because this protection is limited to known malicious IP addresses and domains and does not provide protection from such attacks from unknown domains and IP addresses, this is scored as partial coverage resulting in an overall Partial score."}]}, {"techniqueID": "T1048.002", "score": 3, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_firewall\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's threat intelligence-based filtering feature can be enabled to alert and deny traffic from/to known malicious IP addresses and domains. The IP addresses and domains are sourced from the Microsoft Threat Intelligence feed.  Because this protection is limited to known malicious IP addresses and domains and does not provide protection from such attacks from unknown domains and IP addresses, this is scored as partial coverage resulting in an overall Partial score."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can reduce the protocols available for data exfiltration. Temporal immediate, coverage substantial."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can identify anomalous traffic with respect specific ports (though it can't identify presence or lack of encryption)."}]}, {"techniqueID": "T1095", "score": 2, "comment": " Related to: \n \u2022azure_firewall\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's threat intelligence-based filtering feature can be enabled to alert and deny traffic from/to known malicious IP addresses and domains. The IP addresses and domains are sourced from the Microsoft Threat Intelligence feed.  Because this protection is limited to known malicious IP addresses and domains and does not provide protection from such attacks from unknown domains and IP addresses, this is scored as partial coverage resulting in an overall Partial score.\nFurthermore, it can be used to filter non-application layer protocol traffic such as ICMP."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict access to trusted networks and protocols."}]}, {"techniqueID": "T1205", "score": 2, "comment": " Related to: \n \u2022azure_firewall\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial protection for this technique's sub-techniques and procedure examples resulting in a Partial score."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial protection for this technique's sub-techniques and procedure examples resulting in an overall Partial score.  Other variations that trigger a special response, such as executing a malicous task are not mitigated by this control."}]}, {"techniqueID": "T1205.001", "score": 2, "comment": " Related to: \n \u2022azure_firewall\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against this sub-technique by enforcing limited access to only required ports.  Consequently, even if the adversary is able to utilize port knocking to open additional ports at the host level, it is still blocked at the firewall service level. This service typically applies to external traffic and not internal traffic and therefore lateral movement using this technique within a network is still possible.  Due to this partial coverage, it has been scored as Partial."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can be used to implement whitelist based network rules that can mitigate variations of this sub-techniques that result in opening closed ports for communication. Because this control is able to drop traffic before reaching a compromised host, it can effectively mitigate this port knocking sub-technique."}]}, {"techniqueID": "T1205.002", "score": 1, "comment": " Related to: \n \u2022azure_firewall", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against some variations of this technique."}]}, {"techniqueID": "T1219", "score": 3, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_firewall\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to limit outgoing traffic to only sites and services used by authorized remote access tools.  This is scored as partial because it doesn't protect against an adversary using an authorized remote access tool for malicious activity."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict network communications to protect sensitive enclaves that may mitigate some of the procedure examples of this technique."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect network traffic associated with this technique."}]}, {"techniqueID": "T1590.004", "score": 2, "comment": " Related to: \n \u2022azure_firewall\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can prevent attempts by an adversary to gather this information using active scanning methods but is not effective of gathering this information using phishing related methods."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against gathering victim networking information."}]}, {"techniqueID": "T1590.005", "score": 2, "comment": " Related to: \n \u2022azure_firewall\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can prevent attempts by an adversary to gather this information using active scanning methods but is not effective of gathering this information using phishing related methods."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against gathering victim networking information."}]}, {"techniqueID": "T1590.006", "score": 2, "comment": " Related to: \n \u2022azure_firewall\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can prevent attempts by an adversary to gather this information using active scanning methods but is not effective of gathering this information using phishing related methods."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against gathering victim networking information."}]}, {"techniqueID": "T1595.001", "score": 1, "comment": " Related to: \n \u2022azure_firewall", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's threat intelligence-based filtering feature can be enabled to alert and deny traffic from/to known malicious IP addresses and domains. The IP addresses and domains are sourced from the Microsoft Threat Intelligence feed.  Because this protection is limited to known malicious IP addresses and domains and does not provide protection from such attacks from unknown domains and IP addresses, this is scored as partial coverage resulting in an overall Partial score."}]}, {"techniqueID": "T1595.003", "score": 3, "comment": " Related to: \n \u2022azure_web_application_firewall\n\u2022azure_firewall\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control monitors for accesses of potentially sensitive web pages from source IP addresses whose access pattern resembles that of a web scanner or have not been logged before. Temporal factor is unknown."}, {"divider": true}, {"name": "control", "value": "azure_web_application_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect active scanning."}, {"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect web applications from active scanning by an adversary. Because this protection is specific to web applications (although frequent targets) and not other application types, it has been scored as Partial."}]}, {"techniqueID": "T1571", "score": 3, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_firewall\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_firewall"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can limit access to the minimum required ports and therefore protect against adversaries attempting to use non-standard ports for C2 traffic."}, {"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can restrict traffic to standard ports and protocols."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can identify anomalous traffic that utilizes non-standard application ports."}]}, {"techniqueID": "T1555.006", "score": 3, "comment": " Related to: \n \u2022azure_key_vault\n\u2022defender_for_key_vault\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "azure_key_vault"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide a more secure location for storing passwords. If an Azure user account, endpoint, or application is compromised, they may have limited access to passwords stored in the Key Vault."}, {"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations for auditing and hardening Azure Key Vault to prevent malicious access and segment key access."}, {"divider": true}, {"name": "control", "value": "defender_for_key_vault"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect suspicious secret access from Azure key vaults."}]}, {"techniqueID": "T1021.005", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict direct access to remote services to trusted networks.  This mitigates even an adversary with a valid account from accessing resources.  This can be circumvented though if an adversary is able to compromise a trusted host and move laterally to a protected network.  This results in an overall partial (coverage) score."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic with respect to remote access protocols and groups."}]}, {"techniqueID": "T1021.006", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict direct access to remote services to trusted networks.  This mitigates even an adversary with a valid account from accessing resources.  This can be circumvented though if an adversary is able to compromise a trusted host and move laterally to a protected network.  This results in an overall partial (coverage) score."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic with respect to remote access protocols and groups."}]}, {"techniqueID": "T1072", "score": 3, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_update_manager\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to limit access to critical network systems such as software deployment tools."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect anomalous traffic with respect to critical systems and software deployment ports."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides partial coverage of attacks that leverage software flaws in unpatched deployment tools since it enables automated updates of software and rapid configuration change management."}]}, {"techniqueID": "T1090.001", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can restrict access between systems, enclaves, and workloads thereby mitigating these proxy related sub-techniques."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect abuse of internal proxies."}]}, {"techniqueID": "T1090.002", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can restrict access between systems, enclaves, and workloads thereby mitigating these proxy related sub-techniques."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect abuse of external proxies."}]}, {"techniqueID": "T1199", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can isolate portions of network that do not require network-wide access, limiting some attackers that leverage trusted relationships such as remote access for vendor maintenance. Coverage partial, Temporal Immediate."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to gain insight into normal traffic from trusted third parties which can then be used to detect anomalous traffic that may be indicative of a threat."}]}, {"techniqueID": "T1542.005", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to restrict clients to connecting (and therefore booting) from only trusted network resources."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to identify anomalous TFTP boot traffic."}]}, {"techniqueID": "T1570", "score": 1, "comment": " Related to: \n \u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to limit traffic between systems and enclaves to minimum necessary for example via a zero-trust strategy."}]}, {"techniqueID": "T1602", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can limit attackers access to configuration repositories such as SNMP management stations, or to dumps of client configurations from common management ports."}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can identify anomalous traffic with respect to configuration repositories or identified configuration management ports."}]}, {"techniqueID": "T1602.001", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Can limit access to client management interfaces or configuration databases"}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect collection from configuration repositories."}]}, {"techniqueID": "T1602.002", "score": 2, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Can limit access to client management interfaces or configuration databases"}, {"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect collection from configuration repositories."}]}, {"techniqueID": "T1659", "score": 3, "comment": " Related to: \n \u2022azure_vpn_gateway\n\u2022azure_private_link\n\u2022azure_network_security_groups", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_security_groups"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to limit access to network infrastructure and resources that can be used to reshape traffic or otherwise produce content injection conditions."}, {"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability provides protection against content inection."}, {"divider": true}, {"name": "control", "value": "azure_vpn_gateway"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can mitigate content injection attacks that manipulate data in transit."}]}, {"techniqueID": "T1563.001", "score": 1, "comment": " Related to: \n \u2022azure_network_watcher_traffic_analytics", "metadata": [{"divider": true}, {"name": "control", "value": "azure_network_watcher_traffic_analytics"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect SSH hijacking."}]}, {"techniqueID": "T1505.001", "score": 2, "comment": " Related to: \n \u2022defender_for_azure_sql_databases\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may provide recommendations to enable other Azure controls that provide information on potentially exploitable SQL stored procedures. Recommendations to reduce unnecessary privileges from accounts and stored procedures can mitigate exploitable of this technique.  "}, {"divider": true}, {"name": "control", "value": "defender_for_azure_sql_databases"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may scan for users with unnecessary access to SQL stored procedures."}]}, {"techniqueID": "T1526", "score": 2, "comment": " Related to: \n \u2022defender_for_resource_manager\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to enable Azure services that limit access to cloud services. Several Azure services and controls provide mitigations against cloud service discovery."}, {"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on Cloud Service Discovery activity generated by specific toolkits, such as MicroBurst, PowerZure, etc. It may not generate alerts on undocumented discovery  techniques or exploitation toolkits. The following alerts may be  generated: \"PowerZure exploitation toolkit used to enumerate storage containers, shares, and tables\", \"PowerZure exploitation toolkit used to enumerate resources\", \"MicroBurst exploitation toolkit used to enumerate resources in your subscriptions\"."}]}, {"techniqueID": "T1538", "score": 3, "comment": " Related to: \n \u2022azure_role_based_access_control\n\u2022defender_for_resource_manager\n\u2022azure_policy", "metadata": [{"divider": true}, {"name": "control", "value": "azure_policy"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may provide recommendations to enable Azure services that limit access to Azure Resource Manager and other Azure dashboards. Several Azure services and controls provide mitigations against this technique."}, {"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to limit the number of users that have dashboard visibility thereby reducing the attack surface."}, {"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on suspicious management activity based on IP, time, anomalous behaviour, or PowerShell usage. Machine learning algorithms are used to reduce false positives. The following alerts may be generated: \"Activity from a risky IP address\", \"Activity from infrequent country\", \"Impossible travel activity\", \"Suspicious management session using PowerShell detected\", \"Suspicious management session using an inactive account detected\", \"Suspicious management session  using Azure portal detected\"."}]}, {"techniqueID": "T1499.004", "score": 2, "comment": " Related to: \n \u2022azure_private_link\n\u2022azure_update_manager", "metadata": [{"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against endpoint denial of service attacks."}, {"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control provides significant protection against Denial of Service (DOS) attacks that leverage system/application vulnerabilities as opposed to volumetric attacks since it enables automated updates of software and rapid configuration change management."}]}, {"techniqueID": "T1557.002", "score": 2, "comment": " Related to: \n \u2022azure_vpn_gateway\n\u2022azure_private_link", "metadata": [{"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control reduces the likelihood of MiTM for traffic between remote users, cloud, and 3rd parties by routing the traffic via the Microsoft backbone rather than over the Internet."}, {"divider": true}, {"name": "control", "value": "azure_vpn_gateway"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can protect against adversary in the middle attacks."}]}, {"techniqueID": "T1565.002", "score": 2, "comment": " Related to: \n \u2022azure_vpn_gateway\n\u2022azure_private_link", "metadata": [{"divider": true}, {"name": "control", "value": "azure_private_link"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control reduces the likelihood of data manipulation for traffic between remote users, cloud, and 3rd parties by routing the traffic via the Microsoft backbone rather than over the Internet."}, {"divider": true}, {"name": "control", "value": "azure_vpn_gateway"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control can protect against transmitted data manipulation."}]}, {"techniqueID": "T1087.004", "score": 2, "comment": " Related to: \n \u2022azure_role_based_access_control\n\u2022defender_for_resource_manager", "metadata": [{"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit the accounts that can be used for account discovery."}, {"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on Account Discovery of  Cloud Accounts activity generated by specific toolkits, such as MicroBurst, PowerZure, etc. It may not generate alerts on undocumented discovery techniques or exploitation toolkits. The following alerts may be  generated: \"PowerZure exploitation toolkit used to enumerate storage containers, shares, and tables\", \"PowerZure exploitation toolkit used to enumerate resources\", \"MicroBurst exploitation toolkit used to enumerate resources in your subscriptions\", \"Azurite toolkit run detected\"."}]}, {"techniqueID": "T1098.003", "score": 1, "comment": " Related to: \n \u2022azure_role_based_access_control", "metadata": [{"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit the number of accounts that can modify accounts."}]}, {"techniqueID": "T1098.006", "score": 2, "comment": " Related to: \n \u2022azure_role_based_access_control\n\u2022defender_for_containers", "metadata": [{"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit the number of accounts that can modify accounts."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can detect when changes are made to containers that indicate account manipulation."}]}, {"techniqueID": "T1578.001", "score": 1, "comment": " Related to: \n \u2022azure_role_based_access_control", "metadata": [{"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit the number of accounts that can perform these privileged operations."}]}, {"techniqueID": "T1578.002", "score": 1, "comment": " Related to: \n \u2022azure_role_based_access_control", "metadata": [{"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit the number of accounts that can perform these privileged operations."}]}, {"techniqueID": "T1578.003", "score": 1, "comment": " Related to: \n \u2022azure_role_based_access_control", "metadata": [{"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit the number of accounts that can perform these privileged operations."}]}, {"techniqueID": "T1578.004", "score": 1, "comment": " Related to: \n \u2022azure_role_based_access_control", "metadata": [{"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit the number of accounts that can perform these privileged operations."}]}, {"techniqueID": "T1578.005", "score": 1, "comment": " Related to: \n \u2022azure_role_based_access_control", "metadata": [{"divider": true}, {"name": "control", "value": "azure_role_based_access_control"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can be used to implement the least-privilege principle for account management  and thereby limit the number of accounts that can perform these privileged operations."}]}, {"techniqueID": "T1195.002", "score": 1, "comment": " Related to: \n \u2022azure_update_manager", "metadata": [{"divider": true}, {"name": "control", "value": "azure_update_manager"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control provides coverage of some aspects of software supply chain compromise since it enables automated updates of software and rapid configuration change management."}]}, {"techniqueID": "T1012", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this technique via the Privesc-PowerUp modules, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1027.005", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via the Find-AVSignature AntivirusBypass module on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1123", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this technique via the Get-MicrophoneAudio module on Windows, but does not address other procedures or platforms, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1204.001", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control monitors for references to suspicious domain names and file downloads from known malware sources, and monitors processes for downloads from raw-data websites like Pastebin, all of which are relevant for detecting users' interactions with malicious download links, but malicious links which exploit browser vulnerabilities for execution are unlikely to be detected, and temporal factor is unknown, resulting in a score of Minimal."}]}, {"techniqueID": "T1552.002", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via the Get-UnattendedInstallFile, Get-Webconfig, Get-ApplicationHost, Get-SiteListPassword, Get-CachedGPPPassword, and RegistryAutoLogon modules, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal."}]}, {"techniqueID": "T1552.006", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control analyzes host data to detect execution of known malicious PowerShell PowerSploit cmdlets. This covers execution of this sub-technique via the Exfiltration modules, but does not address other procedures, and temporal factor is unknown, resulting in a Minimal score."}]}, {"techniqueID": "T1055.008", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1055.009", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1055.014", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "Injection attacks are specifically cited as a detection focus for Fileless Attack Detection, which is part of this control, with even more specific references to Process Hollowing, executable image injection, and threads started in a dynamically allocated code segment. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1559", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection covers the command execution aspects of both of this technique's sub-techniques. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1559.001", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies suspicious command execution within process memory. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1559.002", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control's Fileless Attack Detection identifies suspicious command execution within process memory. Detection is periodic at an unknown rate."}]}, {"techniqueID": "T1594", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control monitors for accesses of potentially sensitive web pages from source IP addresses whose access pattern resembles that of a web scanner or have not been logged before. Temporal factor is unknown."}]}, {"techniqueID": "T1620", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability analyzes host data to detect processes with suspicious attributes, including those created anonymously."}]}, {"techniqueID": "T1027.006", "score": 2, "comment": " Related to: \n \u2022microsoft_antimalware_for_azure\n\u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against HTML smuggling."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against HTML smuggling."}]}, {"techniqueID": "T1027.007", "score": 1, "comment": " Related to: \n \u2022defender_for_app_service", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_app_service"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against abuse of dynamic API resolution."}]}, {"techniqueID": "T1611", "score": 1, "comment": " Related to: \n \u2022defender_for_containers", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can detect escape to host."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This capability can protect against escape to host attacks."}]}, {"techniqueID": "T1609", "score": 1, "comment": " Related to: \n \u2022defender_for_containers", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can detect abuse of container administration services."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can protect against abuse of container administration services."}]}, {"techniqueID": "T1610", "score": 1, "comment": " Related to: \n \u2022defender_for_containers", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can detect unauthorized deployment of containers."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can protect against unauthorized deployment of containers."}]}, {"techniqueID": "T1613", "score": 1, "comment": " Related to: \n \u2022defender_for_containers", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can detect container discovery."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can protect against container discovery."}]}, {"techniqueID": "T1619", "score": 1, "comment": " Related to: \n \u2022defender_for_containers", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can detect cloud storage object (blob) discovery."}, {"divider": true}, {"name": "control", "value": "defender_for_containers"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can protect against cloud object storage (blob) discovery."}]}, {"techniqueID": "T1069.003", "score": 1, "comment": " Related to: \n \u2022defender_for_resource_manager", "metadata": [{"divider": true}, {"name": "control", "value": "defender_for_resource_manager"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may alert on Permission Groups Discovery of  Cloud Groups activity generated by specific toolkits, such as MicroBurst, PowerZure, etc. It may not generate alerts on undocumented discovery techniques or exploitation toolkits. The following alerts may be generated: \"MicroBurst exploitation toolkit used to enumerate resources in your subscriptions\", \"Azurite toolkit run detected\"."}]}, {"techniqueID": "T1548.005", "score": 1, "comment": " Related to: \n \u2022just-in-time_vm_access", "metadata": [{"divider": true}, {"name": "control", "value": "just-in-time_vm_access"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This control may mitigate unauthorized elevated cloud access."}]}, {"techniqueID": "T1651", "score": 1, "comment": " Related to: \n \u2022just-in-time_vm_access", "metadata": [{"divider": true}, {"name": "control", "value": "just-in-time_vm_access"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "significant"}, {"name": "comment", "value": "This capability can protect against unauthorized cloud administration."}]}, {"techniqueID": "T1027.002", "score": 1, "comment": " Related to: \n \u2022microsoft_antimalware_for_azure", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may detect malware that has been packed by well known software packing utilities. These utilities can provide signatures that apply to a variety of malware."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may quarantine and/or delete malware that has been packed by well known software packing utilities. These utilities can provide signatures that apply to a variety of malware."}]}, {"techniqueID": "T1566.001", "score": 1, "comment": " Related to: \n \u2022microsoft_antimalware_for_azure", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "minimal"}, {"name": "comment", "value": "This control may quarantine and/or delete any spearphishing attachment that has been downloaded and matches a malware signature. Customized malware without a matching signature may not generate an alert."}, {"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "detect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control may detect any spearphishing attachment that has been downloaded and matches a malware signature. Customized malware without a matching signature may not generate an alert."}]}, {"techniqueID": "T1027.011", "score": 1, "comment": " Related to: \n \u2022microsoft_antimalware_for_azure", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against fileless storage attacks."}]}, {"techniqueID": "T1027.012", "score": 1, "comment": " Related to: \n \u2022microsoft_antimalware_for_azure", "metadata": [{"divider": true}, {"name": "control", "value": "microsoft_antimalware_for_azure"}, {"name": "category", "value": "protect"}, {"name": "value", "value": "partial"}, {"name": "comment", "value": "This control can protect against LNK icon smuggling."}]}], "gradient": {"colors": ["#ffe766", "#ffaf66"], "minValue": 1, "maxValue": 15}}