Coinkite said a flaw was located at the boundary between two unrelated firmware submodules, rather than in its Bitcoin or cryptographic code, which helped it evade both manual and AI-assisted code review for years. The statement was cited by Bitcoin News in a post on X.
After the incident, Coinkite said it tested several frontier AI models, including Kimi K3, Claude Fable, and Codex 5.6. According to the company, none of those models detected the flaw.
Coinkite is now urging security-critical projects to conduct dedicated audits of build systems and submodule boundaries. It also warned that AI-assisted development may leave similar blind spots in the Bitcoin ecosystem. The company’s comments focused on where the flaw appeared in the firmware structure and on the limits it observed in both human review and current AI model checks following the incident.
Bitcoin News said in a post on X that Coinkite had identified a flaw at the boundary between two unrelated firmware submodules, not in its Bitcoin or cryptographic code. Coinkite said that placement allowed the issue to evade manual and AI-assisted code review for years.
Following the incident, Coinkite said it tested several frontier AI models, including Kimi K3, Claude Fable, and Codex 5.6. The company said none of them identified the defect.
Coinkite is now urging security-critical projects to audit build systems and submodule boundaries as dedicated areas of review. It also warned that AI-assisted development may leave similar blind spots across the Bitcoin ecosystem.
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