analyzing-lnk-file-and-jump-list-artifacts
Analyze Windows LNK shortcut files and Jump List artifacts with LECmd, JLECmd, and manual Shell Link Binary Format parsing to establish evidence of file access, program execution, and user activity that persists even after the target file is deleted. Use when investigating Windows user activity, reconstructing file-access or program-execution timelines, or examining recent/frequently-used file evidence in a forensic exam.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
In `scripts/agent.py`, the runtime workflow ingests attacker-controlled free text only indirectly as file-derived string fields (e.g., `arguments`, `target_path`, `local_base_path`) from outsider-supplied `.lnk/.automaticDestinations-ms/.customDestinations-ms` files passed in via `sys.argv[1]`/directory scanning, then matches them with regex and prints them as “Suspicious Indicators”.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
e612f49
- Audited
- Security analysis
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