Bitcoin Red Team Finds Over a Dozen Vulnerabilities in 150 Codebases

Voluntary security initiative scans 150 Bitcoin codebases, identifying over a dozen vulnerabilities using multiple AI models at a daily cost of approximately $10,000.

Woofun AI reports that the Bitcoin Red Team's voluntary security initiative has scanned approximately 150 Bitcoin codebases, identifying more than a dozen vulnerabilities. The group is building an open-source AI platform to audit Bitcoin software, including wallets, encryption libraries, and infrastructure projects.

Rob Hamilton, CEO of AnchorWatch, stated the team has spent roughly $20,000 on AI services, utilizing Kimi K3, OpenAI's GPT Sol, Anthropic's Claude Fable and Opus, and Z.ai's GLM 5.2. Operating under the pseudonym Calle, the team reported serious flaws to multiple projects within the past 12 hours, detecting approximately one critical vulnerability per person per hour with daily expenses near $10,000. Specific project names and vulnerability details remain undisclosed.