Atomic Red Team
Description
Atomic Test Results: Successful Execution of test T1027-2 Execute base64-encoded PowerShell Successful Execution of test T1027-3 Execute base64-encoded PowerShell from Windows Registry Return value unclear for test T1027-4 Execution from Compressed File
MITRE ATT&CK Techniques
| ID | Technique | Tactic |
|---|---|---|
| T1027 | Obfuscated Files or Information | Defense Evasion |
Environment Details
| Field | Value |
|---|---|
| Environment | attack_range |
| Directory | atomic_red_team |
| Test Date | 2020-10-08 |
Datasets
The following datasets were collected during this attack simulation:
Windows-Sysmon
- Path:
/datasets/attack_techniques/T1027/atomic_red_team/windows-sysmon.log - Sourcetype:
XmlWinEventLog - Source:
XmlWinEventLog:Microsoft-Windows-Sysmon/Operational
Related Detections
The following detections in our security content repository use this attack data for testing:
| Detection Name | Type | Source | MITRE ATT&CK | Analytic Story |
|---|---|---|---|---|
| Linux Obfuscated Files or Information Base64 Decode | Anomaly |
Endpoint | T1027 | Linux Living Off The Land |
| Linux Decode Base64 to Shell | TTP |
Endpoint | T1027, T1059.004 | Linux Living Off The Land |
| Malicious PowerShell Process - Encoded Command | Hunting |
Endpoint | T1027 | CISA AA22-320A, Hermetic Wiper, Sandworm Tools, Qakbot, Volt Typhoon, NOBELIUM Group, Data Destruction, Lumma Stealer, Malicious PowerShell, DarkCrystal RAT, WhisperGate, Crypto Stealer, Microsoft SharePoint Vulnerabilities, Scattered Spider, GhostRedirector IIS Module and Rungan Backdoor, Microsoft WSUS CVE-2025-59287 |
Usage Instructions
Replay with Splunk Attack Data
Replay attack data with replay.py from Splunk Attack Data.
1python replay.py --dataset /datasets/attack_techniques/T1027/atomic_red_team/windows-sysmon.log --index attack_data
Manual Import
- Download the dataset files from the paths listed above
- Configure your Splunk instance with the appropriate sourcetypes
- Import the logs using the Splunk Add Data wizard
Related Content
Find more detections and analytics for this attack technique in our security content repository.
Source: GitHub | Version: 1.0