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T1119 Automated Collection Mappings

Once established within a system or network, an adversary may use automated techniques for collecting internal data. Methods for performing this technique could include use of a Command and Scripting Interpreter to search for and copy information fitting set criteria such as file type, location, or name at specific time intervals. This functionality could also be built into remote access tools.

This technique may incorporate use of other techniques such as File and Directory Discovery and Lateral Tool Transfer to identify and move files.

View in MITRE ATT&CK®

Mappings

Capability ID Capability Description Mapping Type ATT&CK ID ATT&CK Name Notes
AC-16 Security and Privacy Attributes Protects T1119 Automated Collection
AC-17 Remote Access Protects T1119 Automated Collection
AC-18 Wireless Access Protects T1119 Automated Collection
AC-19 Access Control for Mobile Devices Protects T1119 Automated Collection
AC-20 Use of External Systems Protects T1119 Automated Collection
CM-2 Baseline Configuration Protects T1119 Automated Collection
CM-6 Configuration Settings Protects T1119 Automated Collection
CM-8 System Component Inventory Protects T1119 Automated Collection
CP-6 Alternate Storage Site Protects T1119 Automated Collection
CP-7 Alternate Processing Site Protects T1119 Automated Collection
CP-9 System Backup Protects T1119 Automated Collection
SC-36 Distributed Processing and Storage Protects T1119 Automated Collection
SC-4 Information in Shared System Resources Protects T1119 Automated Collection
SI-12 Information Management and Retention Protects T1119 Automated Collection
SI-23 Information Fragmentation Protects T1119 Automated Collection
SI-4 System Monitoring Protects T1119 Automated Collection
SI-7 Software, Firmware, and Information Integrity Protects T1119 Automated Collection
azure_sentinel Azure Sentinel technique_scores T1119 Automated Collection
Comments
The following Azure 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. The following Azure 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. The coverage for these queries is minimal (applicable to specific technologies) resulting in an overall Minimal score.
References
  1. https://docs.microsoft.com/en-us/azure/sentinel/overview
  2. https://docs.microsoft.com/en-us/azure/sentinel/hunting
cloud_app_security_policies Cloud App Security Policies technique_scores T1119 Automated Collection
Comments
This control's Information protection policies can detect and encrypt sensitive information at rest on supported platforms, which can inhibit automated data collection activities.
References
  1. https://docs.microsoft.com/en-us/cloud-app-security/policies-cloud-discovery
  2. https://docs.microsoft.com/en-us/cloud-app-security/policies-information-protection
  3. https://docs.microsoft.com/en-us/cloud-app-security/investigate-anomaly-alerts
cloud_app_security_policies Cloud App Security Policies technique_scores T1119 Automated Collection
Comments
This control can detect sensitive information at rest, which may be indicative of data collection activities.
References
  1. https://docs.microsoft.com/en-us/cloud-app-security/policies-cloud-discovery
  2. https://docs.microsoft.com/en-us/cloud-app-security/policies-information-protection
  3. https://docs.microsoft.com/en-us/cloud-app-security/investigate-anomaly-alerts