Bitcoin Red Team Finds Nearly 8,000 Issues Across Bitcoin Open-Source Projects Using Moonshot Kimi

TLDR

• Bitcoin Red Team scanned 501 Bitcoin open-source projects and logged 7,958 findings after 108 hours of work
• Of those findings, 1,280 were classified as high or critical severity
• Chinese AI model Kimi K3 from Moonshot AI was the primary tool used in the review
• BTCPay Server already patched a critical vulnerability reported by the Red Team, including a two-factor authentication bypass
• Only 24.7% of findings had reproducible proofs at the time of reporting, meaning human verification is still needed

Bitcoin Red Team has completed a broad AI-assisted scan of nearly the entire Bitcoin open-source ecosystem, logging 7,958 potential security issues across 501 projects after 108 hours of work.

red team 🟥 rugged by openai cyber again.

don't like asking for permission. loading up kimi k3. pic.twitter.com/wCEV2HYpLo

- calle 🟥 (@callebtc) August 11, 2026

The group, which combines AI tools with human reviewers, used Chinese AI model Kimi K3 from Moonshot AI as its main tool. Researchers can run Kimi K3 locally, which avoids the restrictions they say they encountered with American AI providers like OpenAI and Anthropic during security research.

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