Bitcoin Red Team flags dozens of critical flaws as AI-driven security campaign scales up

AI مارکیٹ کا خلاصہ
The Bitcoin Red Team reports rapid discovery of critical vulnerabilities across wallets, crypto libraries, and infrastructure using AI-assisted code scanning, following the COLDCARD exploit. While disclosures are private and remediation-focused, the news highlights elevated software-supply-chain and operational risk for Bitcoin ecosystem participants in the near term. Open-sourcing the auditing harness could improve ongoing security, but may also accelerate vulnerability discovery across open-source projects.
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⚠️ AI سے تیار کردہ تجزیاتی سمجھ خبروں کے مواد پر مبنی ہے اور صرف معلوماتی مقاصد کے لیے فراہم کی گئی ہے۔ یہ سرمایہ کاری کا مشورہ نہیں ہے اور نہ ہی BingX کے خیالات کی نمائندگی کرتی ہے۔ سرمایہ کاری میں رسک شامل ہے۔ براہ کرم ذمہ داری سے ٹریڈ کریں۔
The volunteer Bitcoin Red Team says it has scanned 150 repositories and privately disclosed more than a dozen vulnerabilities, reporting a rapid rise in critical findings as it works to harden wallets, cryptographic libraries and broader infrastructure in the wake of the COLDCARD exploit. The group estimates the effort has already used about $20,000 in AI compute, with OpenSats covering the bill. Researchers said they are running multiple AI toolchains, and many now view open-source models such as Kimi K3 as the main workhorse for security research. By contrast, they described frontier closed models from firms including OpenAI and Anthropic as more constrained for this kind of analysis. The team plans to open-source its AI security harness to help projects continuously audit their own codebases. Researchers also warned Bitcoin may be the first sector to see a surge in AI-assisted vulnerability discovery, a pattern they expect to spread across open-source software more broadly.