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 -…