Atomic Red Team

Description

Simulated events with Atomic Red Team and manual.

MITRE ATT&CK Techniques

ID Technique Tactic
T1069.001 Local Groups Discovery

Environment Details

Field Value
Environment attack_range
Directory atomic_red_team
Test Date 2021-09-14

Datasets

The following datasets were collected during this attack simulation:

Windows-Powershell-Xml

  • Path: /datasets/attack_techniques/T1069.001/atomic_red_team/windows-powershell-xml.log
  • Sourcetype: XmlWinEventLog
  • Source: XmlWinEventLog:Microsoft-Windows-PowerShell/Operational

Windows-Sysmon

  • Path: /datasets/attack_techniques/T1069.001/atomic_red_team/windows-sysmon.log
  • Sourcetype: XmlWinEventLog
  • Source: XmlWinEventLog:Microsoft-Windows-Sysmon/Operational

The following detections in our security content repository use this attack data for testing:

Detection Name Type Source MITRE ATT&CK Analytic Story
Windows Group Discovery Via Net Hunting Endpoint T1069.001, T1069.002 Windows Discovery Techniques, Windows Post-Exploitation, Graceful Wipe Out Attack, Active Directory Discovery, Prestige Ransomware, Medusa Ransomware, Azorult, Cleo File Transfer Software, Rhysida Ransomware, IcedID, Volt Typhoon, Microsoft WSUS CVE-2025-59287
Wmic Group Discovery Anomaly Endpoint T1069.001 Active Directory Discovery, LAMEHUG
PowerShell Get LocalGroup Discovery Hunting Endpoint T1069.001 Active Directory Discovery
Get WMIObject Group Discovery Hunting Endpoint T1069.001 Active Directory Discovery
Get WMIObject Group Discovery with Script Block Logging Hunting Endpoint T1069.001 Active Directory Discovery

Usage Instructions

Replay with Splunk Attack Data

Replay attack data with replay.py from Splunk Attack Data.

1python replay.py --dataset /datasets/attack_techniques/T1069.001/atomic_red_team/windows-powershell-xml.log --index attack_data

Manual Import

  1. Download the dataset files from the paths listed above
  2. Configure your Splunk instance with the appropriate sourcetypes
  3. Import the logs using the Splunk Add Data wizard

Find more detections and analytics for this attack technique in our security content repository.


Source: GitHub | Version: 1.0