analyzing-malicious-pdf-with-peepdf SKILL.md skillA
analyzing-malicious-pdf-with-peepdf from andycungkrinx91/konoha is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add andycungkrinx91/konoha/analyzing-malicious-pdf-with-peepdf@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- andycungkrinx91/konoha
- Path
src/templates/skills/akatsuki-skill/references/anthropic-cybersecurity-skills-assets/skills/analyzing-malicious-pdf-with-peepdf/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Oct 25, 2026
- Size
- 3,020 bytes
- Repository stars
- 15
- License
- MIT
Perform static analysis of malicious PDF documents using peepdf, pdfid,.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 - Isolated analysis environment (VM or sandbox) - Optional: PyV8 for JavaScript emulation within peepdf - Optional: Pylibemu for shellcode analysis ## Workflow 1. **Triage with pdfid**: Scan PDF for suspicious keywords (/JS, /JavaScript, /OpenAction, /Launch, /EmbeddedFile). 2. **Interactive Analysis**: Open PDF in peepdf interactive mode to explore object structure. 3. **Identify Suspicious Objects**: Locate objects containing JavaScript, streams, or encoded data. 4. **Extract Content**: Dump suspicious streams and decode filters (FlateDecode, ASCIIHexDecode). 5. **Deobfuscate JavaScript**: Analyze extracted JS for shellcode, heap sprays, or exploit code. …
Read the whole file at its exact version.
How to install
mdr add andycungkrinx91/konoha/analyzing-malicious-pdf-with-peepdf@sha256:6c1134f57aa7db3fThe line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_rc3zrzm2zlikojfq)
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Versions
The registry has recorded 1 version of this file, committed on Oct 25, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3020 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
andycungkrinx91/konoha · 15 stars · license MIT · pushed 2026-11-01 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_rc3zrzm2zlikojfq GET https://markdownregistry.com/api/v1/resolve?ref=andycungkrinx91/konoha/analyzing-malicious-pdf-with-peepdf GET https://markdownregistry.com/api/v1/blob/6c1134f57aa7db3fb344c8b1b26162e729296c50017d1ea5f55d93eb7d4756ce
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.