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Build comprehensive malware analysis knowledge base from 3 sources: - SANS FOR610 course: 120 tools, 47 labs, 15 workflows, 27 recipes - REMnux salt-states: 340 packages parsed from GitHub - REMnux docs: 280+ tools scraped from docs.remnux.org Master inventory merges all sources into 447 tools with help tiers (rich/standard/basic). Pipeline generates: tools.db (397 entries), 397 cheatsheets with multi-tool recipes, 15 workflow guides, 224 TLDR pages, and coverage reports. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
42 lines
1.1 KiB
Plaintext
42 lines
1.1 KiB
Plaintext
# pdf-parser.py
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# Parse PDF structure, locate objects, extract content, and search for strings
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# FOR610 Labs: 3.1 | Sections: 1, 3 | Author: Didier Stevens
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# Docs: https://docs.remnux.org/discover-the-tools/analyze+documents/pdf
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% pdf, static-analysis, object-extraction, didier-stevens
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# Basic usage
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pdf-parser.py document.pdf -a
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# Select specific item
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pdf-parser.py document.pdf -s /URI
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# Extract by keyword
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pdf-parser.py document.pdf -k /URI
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# Dump/extract content
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pdf-parser.py document.pdf -o 6 -d object6.jpg
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# --- Recipes (multi-tool chains) ---
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# >> Extract Embedded Object from PDF
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# Scan for suspicious keywords
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pdfid.py <document.pdf>
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# Find objects containing the keyword
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pdf-parser.py <document.pdf> -s /URI
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# Extract all values for that keyword
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pdf-parser.py <document.pdf> -k /URI
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# Dump a specific object to file
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pdf-parser.py <document.pdf> -o <obj_id> -d extracted_object
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# View extracted image
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feh extracted_object &
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# >> Extract JavaScript from PDF
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# Check if PDF contains JavaScript
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pdfid.py <document.pdf>
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# Find objects with JavaScript
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pdf-parser.py <document.pdf> -s /JavaScript
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# Interactive analysis with peepdf
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peepdf -i <document.pdf>
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