AI uncovers hidden bugs in Bitcoin wallets, Lightning and Liquid network
Recent incidents show AI is finding Bitcoin bugs
In the past months, three major Bitcoin‑related systems suffered security breaches that were linked to vulnerabilities discovered with the help of artificial‑intelligence tools. The incidents involve Coldcard hardware wallets, the Core Lightning implementation, and Blockstream’s Liquid sidechain.
Key facts
- About $114 million in Bitcoin was taken from Coldcard wallets; developers say AI helped locate additional bugs.
- Core Lightning released an emergency update after AI‑generated security reports revealed real flaws.
- White‑hat hackers exploited a Liquid network bug, withdrawing roughly 4,000 BTC (about $317 million) and later returning 3,400 BTC once a patch was applied.
- In August, 16 Bitcoin developers used AI models to scan 390 projects, producing nearly 5,000 findings, including 85 initially rated as critical.
What is confirmed
The three incidents above are documented in the source article. The amounts stolen or at risk, the role of AI in uncovering the flaws, and the subsequent patches are all reported facts.
Open questions
One developer noted that AI could also reveal hidden bugs in older, inactive code such as the Mercury Layer repository, but no concrete vulnerabilities in that code have been confirmed yet.
Why this matters for Bitcoin security
Bitcoin’s base layer remains intentionally simple, but additional layers that add smart‑contract capability and faster off‑chain transactions bring more complex code. AI makes it cheaper and faster to search that code for weaknesses, potentially increasing the attack surface.
What may happen next
Developers are likely to adopt AI‑based scanning as a regular part of security audits, especially for legacy projects that are no longer actively maintained.
