analyzing-malicious-pdf-with-peepdf

by mukul975

analyzing-malicious-pdf-with-peepdf is a static malware analysis skill for suspicious PDFs. Use peepdf, pdfid, and pdf-parser to triage phishing attachments, inspect objects, extract embedded JavaScript or shellcode, and review suspicious streams safely without execution.

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AddedMay 11, 2026

CategoryMalware Analysis

Install Command

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf

Curation Score

This skill scores 78/100, which means it is a solid listing candidate for Agent Skills Finder. Directory users get a real, task-specific PDF malware analysis workflow with enough concrete tooling and reference material to reduce guesswork compared with a generic prompt, though it is not fully turnkey.

78/100

Strengths

Explicitly scoped to malicious PDF triage and static analysis, with clear use cases like phishing attachments and exploit documents.
Provides a step-by-step workflow plus a reference file with concrete peepdf and pdfid commands, which improves triggerability and execution clarity.
Includes a supporting script and keyword-based analysis logic, giving agents more operational leverage than documentation alone.

Cautions

No install command in SKILL.md, so users must set up dependencies manually and verify peepdf/pdfid availability.
The workflow is useful for static analysis, but it does not clearly cover dynamic detonation or broader incident-response handling, so scope is narrow.

Pdf Static Analysis Dfir Pdfid Python

Overview

Overview of analyzing-malicious-pdf-with-peepdf skill

What this skill does

The analyzing-malicious-pdf-with-peepdf skill is for static malware analysis of suspicious PDFs using peepdf plus supporting tools like pdfid and pdf-parser. It helps you triage weaponized documents, find embedded JavaScript or shellcode, and inspect suspicious objects without executing the sample.

Best fit for

Use the analyzing-malicious-pdf-with-peepdf skill if you handle phishing attachments, DFIR cases, malware triage, or detection engineering for PDF-based threats. It is most useful when the question is “what is hidden in this PDF?” rather than “how does it behave after opening?”

Main value

The real job-to-be-done is fast, defensible static analysis: identify risky indicators, locate the objects that matter, and extract payloads or artifacts for follow-up review. Compared with a generic prompt, this skill gives a repeatable workflow and better structure for suspicious keyword hunting, object inspection, and script extraction.

How to Use analyzing-malicious-pdf-with-peepdf skill

Install and verify the environment

For analyzing-malicious-pdf-with-peepdf install, add the skill in your skills directory or agent environment, then confirm the supporting tools are available: Python 3.8+, peepdf-3, pdfid.py, and pdf-parser.py. A safe sandbox or VM is strongly recommended because the skill is meant for malicious samples, even though the workflow itself is static.

Give the skill a precise analysis target

The analyzing-malicious-pdf-with-peepdf usage pattern works best when your prompt includes the file path, sample source, and goal. Strong input looks like: “Analyze invoice.pdf for embedded JavaScript, suspicious actions, and any extracted payloads; summarize indicators and likely delivery technique.” Weak input like “check this PDF” leaves too much room for generic output.

Start with triage, then inspect objects

A practical analyzing-malicious-pdf-with-peepdf guide starts with pdfid keyword triage, then moves into peepdf interactive inspection, object tree review, stream decoding, and JavaScript analysis. If pdfid shows /OpenAction, /JS, /Launch, /EmbeddedFile, or /ObjStm, prioritize those objects first instead of reading the whole file linearly.

Read these files first

For installation-oriented use, read SKILL.md first, then references/api-reference.md for command syntax and scripts/agent.py for the analysis flow and keyword logic. Those files tell you what the skill expects, what it extracts, and which outputs are most likely to matter for PDF malware work.

analyzing-malicious-pdf-with-peepdf skill FAQ

Is this only for malware analysis teams?

No. The analyzing-malicious-pdf-with-peepdf skill also fits incident responders, SOC analysts, and threat researchers who need quick PDF triage. It is less useful for general document forensics when the file is known to be benign or when you need full behavioral detonation instead of static inspection.

How is it different from a normal prompt?

A normal prompt may describe “analyze a PDF,” but this skill encodes a malware-analysis workflow around peepdf, pdfid, and pdf-parser. That matters when you want consistent extraction of suspicious objects, clearer prioritization of indicators, and fewer missed embedded actions.

Is it beginner friendly?

Yes, if you already know you are dealing with a suspicious PDF and can work in a controlled environment. Beginners should expect to learn a few PDF-specific concepts like object trees, streams, filters, and JavaScript actions, but the skill reduces guesswork by pointing you to the right tools and sequence.

When should I not use it?

Do not rely on analyzing-malicious-pdf-with-peepdf when the file needs full runtime execution analysis, sandbox telemetry, or deep exploit emulation. It is also a poor fit if you cannot inspect files safely or if the sample requires non-PDF-specific reverse engineering.

How to Improve analyzing-malicious-pdf-with-peepdf skill

Provide the right context up front

Better results come from naming the sample path, suspected infection vector, and your output goal. For example: “Extract indicators and explain whether this PDF uses auto-exec actions, obfuscation, or embedded payloads” gives the skill more useful direction than asking for a summary only.

Ask for the artifacts you actually need

The analyzing-malicious-pdf-with-peepdf skill works best when you specify whether you want IOCs, suspicious object IDs, decoded JavaScript, URLs, hashes, or a detection-oriented writeup. If you need a triage decision, say so; if you need reversal help, ask for object-level evidence and decoding steps.

Watch for common failure modes

The main pitfalls are analyzing the wrong PDF, skipping the triage pass, and trusting a single tool output. If the first pass is noisy, refine the prompt with specific indicators such as /JS, /OpenAction, or encoded streams, and ask for a focused re-run on those objects.

Iterate from triage to extraction

Use the first pass to identify suspicious objects, then follow up with a narrower request like “decode object 12, inspect its stream filters, and explain any obfuscation.” That workflow improves the analyzing-malicious-pdf-with-peepdf output because the skill can spend effort on the exact artifact that matters, not the entire document.

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