Coinkite said the flaw exploited on COLDCARD last week was not found in its Bitcoin or cryptographic code, but at the boundary between two unrelated firmware submodules. According to a post cited by Bitcoin News on X, that placement helped the bug avoid both manual review and AI-assisted code review for years. After the incident, Coinkite said it tested several frontier AI models, including Kimi K3, Claude Fable, and Codex 5.6, and none of them identified the defect. The company is now urging security-critical projects to run dedicated audits on build systems and submodule boundaries. It also warned that AI-assisted development may leave similar blind spots across the Bitcoin ecosystem. The statement focuses on the limits of current review workflows when flaws appear outside the core Bitcoin or cryptography code path and instead emerge where separate software components meet.
Coinkite said the flaw exploited on COLDCARD last week was located at the boundary between two unrelated firmware submodules, not in its Bitcoin or cryptographic code, according to a Bitcoin News post on X cited by Odaily.
The company said that placement allowed the defect to escape both manual review and AI-assisted code review for years. After the incident, Coinkite tested several frontier AI models, including Kimi K3, Claude Fable, and Codex 5.6, and said none of them detected the issue.
Coinkite is now urging security-critical projects to carry out dedicated audits of build systems and submodule boundaries. It also warned that AI-assisted development may leave similar blind spots in the Bitcoin ecosystem.
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