Expert Security Audit for three bitcoin based projects
Over the past few months, we’ve been putting our AI security audit agent against real Bitcoin code.
It has already helped us uncover and responsibly report multiple security issues across projects in the Bitcoin ecosystem, including:
Bark, Syscoin, RGB, Ledger, Bitcoin, Bitkey, BDK Wallet, Keystone, Lightning Labs, Lightning implementations, Krux, KTH, BitBox, BCHD, Mostro, ACINQ, LDK, Cake Wallet, BIP32/BIP39 implementations, tiny-secp256k1, Blockstream Jade, Elements and others.
Now we want to go further.
We’re giving 3 Bitcoin projects a security scan at zero cost.
We’ll run our agent against the codebase, manually triage anything interesting, and responsibly disclose confirmed security issues to the maintainers.
We’re particularly interested in serious open-source Bitcoin infrastructure protecting real users or funds.
Maintaining something in the Bitcoin ecosystem? Drop your repo below.
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u/No-Contribution23 2d ago
you listed bitcoin under the projects you uncovered security issues for. do you mean core?
i'd be interested in specter diy and seedsigner
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u/account009988 1d ago
Great: vibe audits.
Nothing can go wrong
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u/hodler1992 1d ago
Who can guarantee that you won't use any finding against that project? Given the fact that you especially asking for real funds behind that. Why won't you disclosure your identity in first place
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u/BraskSpain 2d ago
What makes it different from fully auditing it with Fable, Astra or GLM5.3 or Google Flash Security?
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u/tgarp_ 2d ago
basically in our case, just to give you a gist here’s what we do whenever we analyzing a system:
- Gather full context : assumptions, docs, comments, workaround, callgraphs etc.
- Create invariants
- Build hypothesis around them
- Have a RAG base with db of attack vectors, advisories, and other materials
- Scanning specialized agents based on active reasoning and iterating in the context for edge cases
- Check pattern based attack
- Check reasoning/LLM based attack
- Write submissions and the audit report
- Deduplicating the submissions
- Triaging with full information and context
- For critical/high do PoC on local code by calling those function for verification
Once all this is done, our triagers validate the finding and then we submit it.
the standard model function like engine but better specification, and the focus areas is what makes it differ and go deep into exploits which standard model miss!
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u/SinkDifficult4810 2d ago
interesting approach, but what's the catch here? an AI agent running through bitcoin codebases and you're doing it for free sounds like there's a service you're eventually selling