According to ChainCatcher, the Bitcoin Red Team volunteer security initiative has scanned about 150 Bitcoin codebases and disclosed more than ten vulnerabilities. The team is developing an open-source AI platform to audit Bitcoin software, spanning wallets, cryptographic libraries, infrastructure, and other projects. AnchorWatch CEO Rob Hamilton said the team has spent approximately $20,000 on various AI services so far, using Kimi K3, OpenAI's GPT Sol, Anthropic's Claude Fable and Opus, and Z.ai's GLM 5.2 to identify vulnerabilities and generate documentation. A pseudonymous Bitcoin developer called Calle revealed that in the past 12 hours, the team has reported critical vulnerabilities to multiple projects, with each person finding about one critical vulnerability per hour on average and daily spending around $10,000. The team has not disclosed the affected projects or vulnerability details.
Bitcoin Red Team, a volunteer security initiative, has scanned roughly 150 Bitcoin codebases and disclosed more than ten vulnerabilities so far, according to ChainCatcher. The group is working on an open-source AI platform designed to audit Bitcoin software, covering wallets, cryptographic libraries, infrastructure, and other projects.
Rob Hamilton, CEO of AnchorWatch, said the team has spent about $20,000 on various AI services to date. It uses Kimi K3, OpenAI's GPT Sol, Anthropic's Claude Fable and Opus, and Z.ai's GLM 5.2 to identify vulnerabilities and generate documentation.
Pseudonymous Bitcoin developer Calle said the team has reported critical vulnerabilities to several projects over the past 12 hours. On average, each person finds about one critical bug per hour, he noted. Daily expenses are around $10,000.
The team has not disclosed which projects were affected or shared details of the vulnerabilities.
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