web3: Bitcoin veteran warns AI of a major vulnerability risk after enhancement
U.Today
09-07 01:01
Ai Focus
After cutting-edge AI models enhanced their capabilities in vulnerability detection and exploitation, the security risks of Bitcoin's open-source infrastructure have once again drawn attention.
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As the capabilities of cutting-edge artificial intelligence models continue to improve in programming, vulnerability detection, and automated network operations, the Bitcoin community has begun to discuss a new type of security concern: open-source infrastructure may be reviewed by machines at higher speeds and on a larger scale.

An anonymous individual who has been actively involved in the Bitcoin community for a long time, CobraBitcoin, indicated that he is paying attention to "the next major vulnerability incident." He mentioned that many key components of Bitcoin use an open-source model, which means that Bitcoin Core, Lightning Network implementations, wallets, and related code libraries could all be quickly analyzed by more sophisticated AI systems.

New model enhances vulnerability exploitation capabilities

This statement came after OpenAI and Anthropic successively released new models. The report mentioned that OpenAI launched GPT-6 and Astra, while Anthropic released Claude Fable 5.1; both are designed to handle longer and more complex software engineering tasks.

OpenAI indicates that Astra is its first model to be deployed on a large scale and to reach the "critical level" of network security capabilities. According to the company, this means that once the model has access to the corresponding tools and permissions, it can identify previously unknown security vulnerabilities and develop new ways to exploit systems with stronger protections, without the need for manual instruction at each step.

  • Astra scored 100% on ExploitBench.
  • The previous generation GPT-5.6 Sol scored 78.5%.
  • The success rate of Astra on ExploitGym is 42.4%.

The newly released Claude Fable 5.1 is described as being more suitable for long-running proxy-based programming tasks, as well as complex work across large codebases.

There are precedents in the encryption industry.

The crypto industry has previously seen the consequences that can arise from AI auxiliary vulnerability research. On May 29th, security researcher Taylor Hornby discovered a serious vulnerability in the Orchard shielding pool of Zcash.

Reports indicate that this vulnerability could allow attackers to forge an unlimited number of ZEC within Orchard without being detected. Subsequently, the development team of Zcash initiated an emergency coordination response to address the related risks.

Bitcoin developers begin to organize their response

This summer, after a major security alert with the wallet COLDCARD, a group of Bitcoin developers and researchers organized a team known as “Bitcoin Red Team”.

Reports indicate that this team is attempting to combine the AI system with manual review to scan a large portion of the code in the Bitcoin open-source ecosystem. Relevant developments suggest that the community no longer regards AI merely as an efficiency tool, but also begins to see it as a new development in the advancement of security defense strategies.

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