Security Team Deploys AI to Find Critical Flaws Across 150 Bitcoin Core-Related Repositories

AI Market Summary
A volunteer security team used multiple advanced AI models to scan ~150 Bitcoin Core-related repositories and reported over a dozen vulnerabilities across wallets, cryptographic libraries, and infrastructure. While specific projects are undisclosed, the news highlights accelerating vulnerability discovery and disclosure cycles. It also reinforces that AI is amplifying both defensive research and offensive exploitation, raising near-term operational and reputational risk across the Bitcoin software supply chain.
Impact level
● Medium
Affected assets
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AI Insight · BTC/USDTAI Insight
● Neutral
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ME News said a volunteer security team used advanced AI models to scan roughly 150 code repositories tied to Bitcoin Core projects, flagging more than a dozen vulnerabilities spanning wallets, cryptographic libraries, and infrastructure components. The group relied on Kimi K3, OpenAI's GPT Sol, Anthropic's Claude Fable and Opus, and Z.ai's GLM 5.2 to surface issues and produce supporting write-ups. Team members said productivity has jumped to about one critical vulnerability identified per person per hour on average. Over the past 12 hours, the team has submitted security reports to multiple projects, but has not disclosed which repositories are affected. The report notes that recent incidents involving Coldcard and Boltz underscore how AI is accelerating vulnerability discovery for both security researchers and attackers. (Source: BlockBeats)