Zcash Audit Using Anthropic AI Finds No Additional Critical Flaws
Summary
- Zooko Wilcox said a security audit using Anthropic's AI model Mithos found no other critical vulnerabilities in the Zcash protocol.
- He added that teams including Shielded Labs are continuing work to strengthen security and will release a follow-up update soon.
- Earlier, Taylor Hornby discovered a forgery vulnerability in the Zcash Orchard pool that could have allowed unlimited creation of fake ZEC during a targeted audit using Anthropic's Opus 4.8 model, and ZODL completed a fix for the flaw on June 2.
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Zcash founder Zooko Wilcox on June 12 released the results of a security audit conducted with an artificial intelligence model from Anthropic.
In a post on X, Wilcox said the audit was carried out at the request of digital-asset research group Shielded Labs using Anthropic's AI model Mithos. It found no other critical vulnerabilities in the Zcash protocol.
Shielded Labs and related teams are continuing efforts to strengthen security, he added, with a follow-up update to be announced soon.
The audit was part of efforts to address a vulnerability recently identified on the Zcash network. On June 5, Wilcox said a forgery flaw had existed in Zcash's Orchard pool that could have allowed unlimited creation of fake ZEC.
That flaw was also identified using Anthropic's AI technology. Security researcher Taylor Hornby discovered it during a targeted audit on May 29 using Anthropic's Opus 4.8 model and reported it to Zcash Open Development Lab, or ZODL. After coordinating with participants across the Zcash ecosystem, ZODL completed a fix for the flaw on June 2.
