Individual skill
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. Use when triaging a suspicious PDF attachment from a phishing email, analyzing a PDF-based exploit document, or building detection signatures for weaponized PDF threats.
skills/analyzing-malicious-pdf-with-peepdf/SKILL.md
Source commit 54a798831d2266a3ca61ce68a7acb80b81160d57
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- Yes
- Scanner rules are current
- Yes
- Repository scan complete
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- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 35,887
- Repository last updated
- Aug 31, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- malware-analysis Declared skill tag
- pdf Declared skill tag
- peepdf Declared skill tag
- pdfid Declared skill tag
- pdf-parser Declared skill tag
- static-analysis Declared skill tag
- reverse-engineering Declared skill tag
- dfir Declared skill tag
- engineering Derived category
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LICENSEasset · 11,255 bytesSKILL.mdcore · 3,196 bytesreferences/api-reference.mddoc · 3,318 bytesscripts/agent.pyruns · 8,427 bytes
Read excerpt
# Analyzing Malicious PDF with peepdf
## When to Use
- When triaging suspicious PDF attachments from phishing emails
- During malware analysis of PDF-based exploit documents
- When extracting embedded JavaScript, shellcode, or executables from PDFs
- For forensic examination of weaponized document artifacts
- When building detection signatures for PDF-based threats
## Prerequisites
- Python 3.8+ with peepdf-3 installed (pip install peepdf-3)
- pdfid.py and pdf-parser.py from Didier Stevens suite