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.

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

0

total installs

0

this week

8.6K

GitHub stars

0

upvotes

Install Skill

Run in your terminal

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/analyzing-malicious-pdf-with-peepdf

0

installs

0

this week

8.6K

stars

Installation Guide

How to use analyzing-malicious-pdf-with-peepdf on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add analyzing-malicious-pdf-with-peepdf
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/analyzing-malicious-pdf-with-peepdf

Fetches analyzing-malicious-pdf-with-peepdf from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/analyzing-malicious-pdf-with-peepdf

Restart Cursor to activate analyzing-malicious-pdf-with-peepdf. Access via /analyzing-malicious-pdf-with-peepdf in your agent's command palette.

Security Notice

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.

Documentation

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

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.
  6. Check VirusTotal: Use peepdf vtcheck to cross-reference file hash with AV detections.
  7. Generate IOCs: Extract URLs, domains, hashes, and shellcode signatures.

Key Concepts

ConceptDescription
/OpenActionAutomatic action executed when PDF is opened
/JavaScript /JSEmbedded JavaScript code in PDF objects
/LaunchAction that launches external applications
/EmbeddedFileFile embedded within the PDF structure
FlateDecodezlib compression filter used to hide content
Object StreamsPDF objects stored in compressed streams

Tools & Systems

ToolPurpose
peepdf / peepdf-3Interactive PDF analysis with JS emulation
pdfid.pyQuick triage scanning for suspicious keywords
pdf-parser.pyDeep object-level PDF parsing
VirusTotalHash lookup and AV detection cross-reference
CyberChefDecode and transform extracted payloads

Output Format

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]

List & Monetize Your Skill

Submit your Claude Code skill and start earning

Get started →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ 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.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.739 reviews
  • D
    Dhruvi JainDec 28, 2024

    analyzing-malicious-pdf-with-peepdf is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • C
    Camila PatelDec 24, 2024

    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.

  • Z
    Zaid RaoDec 16, 2024

    Solid pick for teams standardizing on skills: analyzing-malicious-pdf-with-peepdf is focused, and the summary matches what you get after install.

  • R
    Rahul SantraNov 27, 2024

    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.

  • O
    OshnikdeepNov 19, 2024

    analyzing-malicious-pdf-with-peepdf fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • A
    Ama LopezNov 7, 2024

    analyzing-malicious-pdf-with-peepdf has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • H
    Henry ReddyOct 26, 2024

    analyzing-malicious-pdf-with-peepdf fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • P
    Pratham WareOct 18, 2024

    I recommend analyzing-malicious-pdf-with-peepdf for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • G
    Ganesh MohaneOct 10, 2024

    analyzing-malicious-pdf-with-peepdf has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • M
    Maya ShahOct 2, 2024

    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.

showing 1-10 of 39

1 / 4

Discussion

Comments — not star reviews
  • No comments yet — start the thread.