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docker_file_analysis/data/generated/wiki/recipes/pdf-object-extraction.md
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tobias e62a14dafc Add markdown wiki with 473 pages and zk browser
Generate interlinked wiki from master inventory: 397 tool pages,
15 workflow pages, 27 recipe pages, 33 category pages, plus index.
All pages use [[wiki-links]] for cross-navigation between tools,
workflows, recipes, and categories (1782 links total).

Install zk for interactive browsing with fzf search, tag filtering,
and backlink discovery. Add 'fhelp wiki' command and Makefile target.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-28 19:50:36 +01:00

630 B

Extract Embedded Object from PDF

Pull out an embedded image, JavaScript, or file from a PDF object

Tools: tools/pdfid-py, tools/pdf-parser-py, tools/feh FOR610 Lab: 3.1

Commands

# Scan for suspicious keywords
pdfid.py <document.pdf>
# Find objects containing the keyword
pdf-parser.py <document.pdf> -s /URI
# Extract all values for that keyword
pdf-parser.py <document.pdf> -k /URI
# Dump a specific object to file
pdf-parser.py <document.pdf> -o <obj_id> -d extracted_object
# View extracted image
feh extracted_object &

#recipe #pdfid-py #pdf-parser-py #feh