Purplesharp Invalid Users Ntlm Xml
Description
Automated generation of attack data using PurpleSharp: NTLM Password Spraying with randomly 50 generated usernames
MITRE ATT&CK Techniques
| ID | Technique | Tactic |
|---|---|---|
| T1110.003 | Password Spraying | Credential Access |
Environment Details
| Field | Value |
|---|---|
| Environment | attack_range |
| Directory | purplesharp_invalid_users_ntlm_xml |
| Test Date | 2022-09-08 |
Datasets
The following datasets were collected during this attack simulation:
Windows-Security
- Path:
/datasets/attack_techniques/T1110.003/purplesharp_invalid_users_ntlm_xml/windows-security.log - Sourcetype:
XmlWinEventLog - Source:
XmlWinEventLog:Security
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 |
|---|---|---|---|---|
| Windows Unusual Count Of Invalid Users Failed To Auth Using NTLM | Anomaly |
Endpoint | T1110.003 | Active Directory Password Spraying, Volt Typhoon |
| Windows Multiple Invalid Users Failed To Authenticate Using NTLM | TTP |
Endpoint | T1110.003 | Active Directory Password Spraying, Volt Typhoon |
Usage Instructions
Replay with Splunk Attack Data
Replay attack data with replay.py from Splunk Attack Data.
1python replay.py --dataset /datasets/attack_techniques/T1110.003/purplesharp_invalid_users_ntlm_xml/windows-security.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