Build your first Cyber Forensic Application
summary
Claims a rise to 150,000 cyber‑attacks per week during COVID with a 30% increase, then shows concrete Python tooling: uses hashlib SHA‑256 validation to prove image integrity (demo of matching and mismatching digests), extracts EXIF GPS with Pillow, grabs screenshots with pyscreenshot, indexes text with Whoosh, reads audio metadata with Mutagen and PDFs with PyPDF, parses PE files, and runs NLTK for keyword and n‑gram analysis; delivers a small working forensic application and code walkthrough.
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chapters (12)
- 0:00Cyber forensic apps intro
- 1:32Cyber crime stats
- 3:37Digital forensic process
- 7:12Daubert standard & Python
- 10:04Python setup for forensics
- 12:09Python forensic functions
- 13:54Forensic indexing with Whoosh
- 17:02Hash functions for evidence
- 19:30Evidence extraction with Pillow
- 21:15Metadata forensics with Mutagen
- 23:28NLP in forensic analysis
- 27:14Summary
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