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. 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. 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 mitre_attack:
• T1204.002
• T1059.007
• T1027
• T1106

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

| 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 |

Tools & Systems

| 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 |

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]