analyzing-malicious-pdf-with-peepdf
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
52
58%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/analyzing-malicious-pdf-with-peepdf/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Third-party content exposure detected (high risk: 0.95). The required workflow ingests **outsider-authored PDF body text** (the user-supplied `malicious.pdf` attachment) by running `peepdf`/`pdf-parser.py` and then concatenating extracted JavaScript/streams (`extract_javascript()` → `result.stdout` previews) into the agent’s LLM context via `all_js = " ".join(...)` and the generated report fields.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Commit
0445030
- Audited
- Security analysis
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.