skills/mukul975/anthropic-cybersecurity-skills/detecting-living-off-the-land-with-lolbas/Gen Agent Trust Hub
detecting-living-off-the-land-with-lolbas
Pass
Audited by Gen Agent Trust Hub on Sep 17, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTION
Full Analysis
- [SAFE]: The skill implements a signature-based detection mechanism for identifying Living Off the Land Binaries (LOLBins). The Python script
scripts/agent.pyperforms static analysis on log data without executing dynamic code or invoking shell commands with user-controlled input. - [SAFE]: External references to the LOLBAS project and Sigma rules are directed to reputable community resources. The use of
git clonefor the LOLBAS repository is a documented and standard practice for obtaining the reference database. - [INDIRECT_PROMPT_INJECTION]: The skill ingests untrusted process telemetry logs, which serves as a potential surface for indirect prompt injection.
- Ingestion points:
scripts/agent.pyprocesses JSON log files through theparse_process_eventsfunction. - Boundary markers: There are no specific delimiters or instructions defined in the skill to prevent the agent from following instructions embedded within the logs.
- Capability inventory: The skill allows for local file read and write operations (
scripts/agent.py) and utilizes standard Python libraries for analysis. - Sanitization: Log content (such as command-line arguments) is analyzed and reported without sanitization. While necessary for high-fidelity detection, this allows external data to enter the agent's context verbatim.
Audit Metadata