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Image: github.com · Defensive malware analysis with REA, Ghidra, and Codex: evidence-based case studies, reports, and setup guides supporting the Code Geeks blog. - CodeGeeksAI/malware-reverse

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Defensive malware analysis case studies

Evidence-based malware analysis with REA, Ghidra and Codex, plus setup guides.

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Credits

  • Repository account CodeGeeksAI Source ↗
Code ↗

The full story

These are defensive malware-analysis case studies using REA, Ghidra and Codex, supporting the Code Geeks blog. The focus is reconstructing what malicious software does and reporting it with evidence. The reports include defanged indicators, and the repository contains documentation only, no malware. It stresses analysing samples only in an isolated, authorised lab.

How it was done

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Sources

From the maker's own write-up or code. We summarise what they report; we haven't tested it ourselves.

  • Awesome REA list: malware-reverseCode or repositorygithub.com
    Repository account: CodeGeeksAI

    Case studies and lab set-up guides.

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Prompt & Solder

An independent community project. Not affiliated with Anthropic.

What this is. Real projects where people used Claude to build, fix, port, revive or take apart something, from jailbroken Kindles to rebuilt DOS games, plus the times it went badly wrong. Every build links to where it was shared, and every source is listed here.

How far to trust it. We summarise what people reported and say what each build rests on: a full write-up with code, a short post, or a passing comment. We haven't tested them ourselves. Photos are shown from the original sources with credit. Only modify hardware you own, and back up first.

Privacy. No accounts. Analytics cookies (Google Analytics) only if you accept them; no ads or cross-site tracking. Searches are counted anonymously (just the words) to show what's popular, and so are clicks on Ask Claude (just the count). The Claude connector only receives the search words your Claude sends it.

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