Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionanalyzing-malicious-pdf-with-peepdfExecute the skills CLI command in your project's root directory to begin installation:
Fetches analyzing-malicious-pdf-with-peepdf from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate analyzing-malicious-pdf-with-peepdf. Access via /analyzing-malicious-pdf-with-peepdf in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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| name | analyzing-malicious-pdf-with-peepdf |
| description | Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. |
| domain | cybersecurity |
| subdomain | malware-analysis |
| tags | - malware-analysis - pdf - peepdf - pdfid - pdf-parser - static-analysis - reverse-engineering - dfir |
| version | '1.0' |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - DE.AE-02 - RS.AN-03 - ID.RA-01 - DE.CM-01 |
| Concept | Description |
|---|---|
| /OpenAction | Automatic action executed when PDF is opened |
| /JavaScript /JS | Embedded JavaScript code in PDF objects |
| /Launch | Action that launches external applications |
| /EmbeddedFile | File embedded within the PDF structure |
| FlateDecode | zlib compression filter used to hide content |
| Object Streams | PDF objects stored in compressed streams |
| Tool | Purpose |
|---|---|
| peepdf / peepdf-3 | Interactive PDF analysis with JS emulation |
| pdfid.py | Quick triage scanning for suspicious keywords |
| pdf-parser.py | Deep object-level PDF parsing |
| VirusTotal | Hash lookup and AV detection cross-reference |
| CyberChef | Decode and transform extracted payloads |
Analysis Report: PDF-MAL-[DATE]-[SEQ]
File: [filename.pdf]
SHA-256: [hash]
Suspicious Keywords: [/JS, /OpenAction, etc.]
Objects with JavaScript: [Object IDs]
Extracted URLs: [List]
Shellcode Detected: [Yes/No]
Embedded Files: [Count and types]
VirusTotal Detections: [X/Y engines]
Risk Level: [Critical/High/Medium/Low]
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
analyzing-malicious-pdf-with-peepdf is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: analyzing-malicious-pdf-with-peepdf is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: analyzing-malicious-pdf-with-peepdf is focused, and the summary matches what you get after install.
Keeps context tight: analyzing-malicious-pdf-with-peepdf is the kind of skill you can hand to a new teammate without a long onboarding doc.
analyzing-malicious-pdf-with-peepdf fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
analyzing-malicious-pdf-with-peepdf has been reliable in day-to-day use. Documentation quality is above average for community skills.
analyzing-malicious-pdf-with-peepdf fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend analyzing-malicious-pdf-with-peepdf for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
analyzing-malicious-pdf-with-peepdf has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: analyzing-malicious-pdf-with-peepdf is the kind of skill you can hand to a new teammate without a long onboarding doc.
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