Bitcoin Red Team scans Bitcoin ecosystem with Chinese AI models, finds nearly 5,000 vulnerabilities
Bitcoin Red Team, led by Calle, used Chinese AI models Kimi K3 and GLM 5.2 to scan Bitcoin ecosystem open-source code, reporting 4,962 findings across 390 projects in August, including 85 critical and 635 high-risk issues, with Lightning Network software particularly affected.
Detected & updated continuously · Source: Nebula
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@DehuaFi
「比特幣在燃燒」：紅隊用中國 AI 掃出近 5,000 個漏洞 比特幣資安志願團隊 Bitcoin Red Team（化名 Calle 帶領）用中國 AI 模型 Kimi K3、GLM 5.2 大規模掃描比特幣生態開源碼，8 月回報 390 個專案共 4,962 項發現（85 危急、635 高風險），閃電網路軟體尤其破碎。Calle
@cryptogoos
Holy sh*t. @Zai_org just introduced GLM 5.3. The cyber capabilities are insane, and scary. But this IS actually a massive opportunity for crypto protocols to audit their systems and protocols more efficiently and at a fraction of the cost. “Cyber Defense” indeed. Open source