Sharphound
Description
Manual SharpHound testing to simulate all the behavior seen in the wild.
MITRE ATT&CK Techniques
| ID | Technique | Tactic |
|---|---|---|
| T1059.001 | PowerShell | Execution |
Environment Details
| Field | Value |
|---|---|
| Environment | attack_range |
| Directory | sharphound |
| Test Date | 2021-06-03 |
Datasets
The following datasets were collected during this attack simulation:
Windows-Sysmon
- Path:
/datasets/attack_techniques/T1059.001/sharphound/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 |
|---|---|---|---|---|
| Detect SharpHound File Modifications | TTP |
Endpoint | T1069.001, T1069.002, T1087.001, T1087.002, T1482 | Windows Discovery Techniques, Ransomware, BlackSuit Ransomware |
| Detect AzureHound File Modifications | TTP |
Endpoint | T1069.001, T1069.002, T1087.001, T1087.002, T1482 | Windows Discovery Techniques |
| Detect SharpHound Command-Line Arguments | TTP |
Endpoint | T1069.001, T1069.002, T1087.001, T1087.002, T1482 | Windows Discovery Techniques, Ransomware, BlackSuit Ransomware |
| Detect AzureHound Command-Line Arguments | TTP |
Endpoint | T1069.001, T1069.002, T1087.001, T1087.002, T1482 | Windows Discovery Techniques, Compromised Windows Host |
| Detect SharpHound Usage | TTP |
Endpoint | T1069.001, T1069.002, T1087.001, T1087.002, T1482 | Windows Discovery Techniques, Ransomware |
Usage Instructions
Replay with Splunk Attack Data
Replay attack data with replay.py from Splunk Attack Data.
1python replay.py --dataset /datasets/attack_techniques/T1059.001/sharphound/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