GitHub Repo

Hijacklibs

Date: 2024-2-19 ID: 9c084d2d-ab99-4bda-875f-cf565afee2fe Author: Steven Dick Environment: attack_range Directory: hijacklibs

Description

Detection of suspicious usage of DLLs commonly used in sideloading and search order hijacking.

MITRE ATT&CK Techniques

ID Technique Tactic
T1574.002 T1574.002 Multiple

Environment Details

Field Value
Environment attack_range
Directory hijacklibs
Test Date 2024-2-19

Datasets

The following datasets were collected during this attack simulation:

Hijacklibs_sysmon

  • Path: /datasets/attack_techniques/T1574.002/hijacklibs/hijacklibs_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 Known Abused DLL Created Anomaly Endpoint T1574.001 Windows Defense Evasion Tactics, Living Off The Land
Windows Known Abused DLL Loaded Suspiciously TTP Endpoint T1574.001 Windows Defense Evasion Tactics, Living Off The Land

Usage Instructions

Replay with Splunk Attack Data

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

1python replay.py --dataset /datasets/attack_techniques/T1574.002/hijacklibs/hijacklibs_sysmon.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