GitHub Repo

Hugging Face

Date: 2025-08-25 ID: 21fdc0b4-81d4-11f0-af7e-629be3538068 Author: Teoderick Contreras, Splunk Environment: attack_range Directory: hugging_face

Description

Generated datasets for hugging face in attack range.

MITRE ATT&CK Techniques

ID Technique Tactic
T1071.004 DNS Command And Control

Environment Details

Field Value
Environment attack_range
Directory hugging_face
Test Date 2025-08-25

Datasets

The following datasets were collected during this attack simulation:

Huggingface.log

  • Path: /datasets/malware/lamehug/T1071.004/hugging_face/huggingface.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 AI Platform DNS Query Anomaly Endpoint T1071.004 LAMEHUG

Usage Instructions

Replay with Splunk Attack Data

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

1python replay.py --dataset /datasets/malware/lamehug/T1071.004/hugging_face/huggingface.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

Related Content

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

Source: GitHub | Version: 1.0