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[SITUATION] · [ACTIVE] · [TECHNOLOGY]

2 clusters · 7 sources · 8 days · First seen 10 days ago · Last updated 3 days ago

Bitcoin ecosystem AI security audits

Overview

The Bitcoin Red Team, a global group of security researchers, has conducted large-scale audits of the Bitcoin open-source ecosystem using artificial intelligence. The initiative has identified thousands of anomalies across hundreds of projects, including a significant number of critical and high-severity vulnerabilities.

As the audit progressed, researchers reported a growing reliance on Chinese AI models, such as Moonshot AI’s Kimi K3 and Z.ai’s GLM 5.2. Team leader Calle noted that these models are preferred for deep research because US-based models from OpenAI and Anthropic often impose cybersecurity restrictions that can hinder extensive code analysis.

The team utilizes a process of automated AI-driven analysis followed by human verification. To mitigate risk, they have adopted a policy of reporting suspicious findings privately to developers to allow for fixes before public disclosure. The researchers noted that the complexity of the Lightning Network software presents particular challenges for the auditing process.

Entities

Bitcoin Red Team · Bitcoin · Calle · Kimi K3 · Rob Hamilton

Claims

What the coverage asserts, and how well corroborated each claim is across sources.

[● 3 SOURCES] The team uses the Chinese AI model Kimi K3 from Moonshot AI to conduct security audits. block-builders.de · www.it-boltwise.de · www.btc-echo.de
[● 3 SOURCES] Lightning network software is particularly difficult to audit due to its complexity. block-builders.de · www.it-boltwise.de · www.btc-echo.de
[● 2 SOURCES] The Bitcoin Red Team lead described the current state of the ecosystem as 'everything is broken, Bitcoin is burning'. block-builders.de · www.btc-echo.de
[● 2 SOURCES] The team reports findings privately to developers to allow for fixes before public disclosure. www.it-boltwise.de · www.btc-echo.de
[○ 1 SOURCE] The Bitcoin Red Team identified 4,962 anomalies in 390 BTC projects, including 85 critical and 635 high-urgency problems. block-builders.de
[○ 1 SOURCE] US-based AI models like Claude and ChatGPT have too many restrictions for security-related tasks. block-builders.de

Timeline

3 days ago

[TECHNOLOGY] 3 sources
Bitcoin Red Team identifies thousands of vulnerabilities using Chinese AI
The Bitcoin Red Team has identified thousands of vulnerabilities in the Bitcoin ecosystem using Chinese AI models like Kimi K3, citing restrictions in US-based AI as a barrier to security research.
10 days ago

[TECHNOLOGY] 4 sources
Bitcoin Red Team AI Audit Flags Hundreds of Critical Vulnerabilities
The volunteer Bitcoin Red Team used AI to audit hundreds of Bitcoin projects, reporting thousands of issues – over 1,000 deemed high or critical – though verification remains pending.

Sources

bitcoinethereumnews.com · block-builders.de · btc-echo.de · coindeskjapan.com · crypto-times.jp · it-boltwise.de · news-krypto.de