Unusual Library Load via Python
Detects when a Python process loads an unusual library from within the user's home directory where the file is not a standard .so or .dylib file. This technique has been observed in APT campaigns by the Lazarus Group…
Description
Detects when a Python process loads an unusual library from within the user's home directory where the file is not a standard .so or .dylib file. This technique has been observed in APT campaigns by the Lazarus Group and Slow Pisces to load malicious payloads.
Detection logic
Its licence does not clear it for publishing here
Sunturai publishes a detection's own text where the licence it arrived under has been reviewed and permits it, and Elastic License 2.0 has not. The query as its source wrote it, its canonical form and the hash that pins this revision are in the workspace record.
Detection requirements
- Platform
- ContainersESXiIaaSIdentity ProviderLinuxmacOSNetwork DevicesOffice SuiteSaaSWindows
The rule states no platform. This is derived from the 2 ATT&CK techniques it maps to.
- Log source category
- event_index
MITRE ATT&CK mappings
0 exclusive techniques.This is coverage no other published rule has; it is not this rule's total technique count.
References
| Reference | Cited by |
|---|---|
| slowmist.medium.com/cryptocurrency-apt-intelligence-unveiling-lazarus-groups-intrusion-techniques-a1a6efda7d34 | Only this detection cites it |
| unit42.paloaltonetworks.com/slow-pisces-new-custom-malware/ | Only this detection cites it |
From the source
- At source
- Open at source
- Upstream identifier
- ab9a334a-f2c3-4f49-879f-480de71020d3
- Tagged by the source as
- Data Source: Elastic DefendDomain: EndpointNoise: LowOS: macOSPerformance: NormalPlatform: macOSResources: Investigation GuideRule Type: Event Correlation (EQL)Tactic: ExecutionUse Case: Threat Detection
Licence
- Published under
- Elastic License 2.0Read the licence
- Attribution
- Required
Authorship
- Written by
- Published
- Sep 20, 2026
- Version
- 3