Adversaries may leverage compromised software-as-a-service (SaaS) applications to complete resource-intensive tasks, which may impact hosted service availability.
For example, adversaries may leverage email and messaging services, such as AWS Simple Email Service (SES), AWS Simple Notification Service (SNS), SendGrid, and Twilio, in order to send large quantities of spam / Phishing emails and SMS messages.(Citation: Invictus IR DangerDev 2024)(Citation: Permiso SES Abuse 2023)(Citation: SentinelLabs SNS Sender 2024) Alternatively, they may engage in LLMJacking by leveraging reverse proxies to hijack the power of cloud-hosted AI models.(Citation: Sysdig LLMJacking 2024)(Citation: Lacework LLMJacking 2024)
In some cases, adversaries may leverage services that the victim is already using. In others, particularly when the service is part of a larger cloud platform, they may first enable the service.(Citation: Sysdig LLMJacking 2024) Leveraging SaaS applications may cause the victim to incur significant financial costs, use up service quotas, and otherwise impact availability.
View in MITRE ATT&CK®| Capability ID | Capability Description | Mapping Type | ATT&CK ID | ATT&CK Name | Notes |
|---|---|---|---|---|---|
| action.hacking.variety.Hijack | To assume control over and steal functionality for an illicit purpose (e.g. Hijacking phone number intercept SMS verification codes) | related-to | T1496.004 | Cloud Service Hijacking |
| Capability ID | Capability Description | Mapping Type | ATT&CK ID | ATT&CK Name | Notes |
|---|---|---|---|---|---|
| microsoft_sentinel | Microsoft Sentinel | technique_scores | T1496.004 | Cloud Service Hijacking |
Comments
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".
The 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.
References
|
| ai_threat_protection | Microsoft Defender for Cloud: AI Threat Protection | technique_scores | T1496.004 | Cloud Service Hijacking |
Comments
This capability has multiple alerts (AI.Azure_DOWDuplicateRequests, AI.Azure_DOWVolumeAnomaly) that can detect abuse of an AI for financial impact on an organization.
References
|
| defender_for_app_service | Microsoft Defender for Cloud: Defender for App Service | technique_scores | T1496.004 | Cloud Service Hijacking |
Comments
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.
References
|
| Capability ID | Capability Description | Mapping Type | ATT&CK ID | ATT&CK Name | Notes |
|---|---|---|---|---|---|
| security_command_center | Security Command Center | technique_scores | T1496.004 | Cloud Service Hijacking |
Comments
SCC detect compromised hosts that attempt to connect to known malicious crypto-mining domains and IP addresses. Because of the near-real time temporal factor to detect against this cyber-attack the control was graded as significant.
References
|