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Anthropic Mythos Security Audit Found No 'Serious' Bugs in Zcash: Wilcox

Zcash founder Zooko Wilcox said Anthropic's Mythos audit found no further serious bugs in the privacy coin's protocol. The review followed a June 3 shielded-pool bug that was patched the same day.

By Zoltan Vardai·Jun 13·cointelegraph.com·2 min read

Intelligence analysis by GPT-5.4 Mini

Anthropic Mythos Security Audit Found No 'Serious' Bugs in Zcash: Wilcox
Image: cointelegraph.com

A new AI-assisted security review of Zcash turned up no additional serious protocol flaws, according to Zcash founder Zooko Wilcox. The news follows a recently patched Orchard shielded-pool forgery bug that briefly paused transactions earlier this month.

Why it matters

For crypto holders and builders, this is a signal that AI tools are becoming part of real security audits on live blockchain systems. It also shows how fragile privacy-focused protocol code can be, even when no exploit is found.

Zcash hired an AI helper to look for hidden problems, like a super-fast mechanic checking a car. It didn’t find more big issues after one earlier bug was fixed, which is good news for a coin that cares a lot about privacy.

Analysis

What happened

Zcash founder Zooko Wilcox said Anthropic's Claude Mythos AI model did not find any more "serious bugs" in the Zcash protocol after a security audit requested by Shielded Labs, a Swiss-based nonprofit that supports Zcash development.

The timing matters because Zcash developers had already dealt with a separate issue on June 3, when they temporarily suspended Orchard transactions after finding a vulnerability in the shielded pool. Functionality was restored later that day through an emergency upgrade.

According to the article, the vulnerability was a four-year-old forgery bug in the Orchard shielded pool. Security researcher Taylor Hornby discovered it with help from Anthropic's Claude Opus 4.8 model. The Zcash Foundation said there was no evidence the bug was exploited, no unauthorized value creation was detected, and user privacy was not affected.

Bigger context

The story also places this audit in a wider debate about AI and crypto security. Anthropic has recently been pushing out advanced models, while also warning that the same technology can surface large numbers of vulnerabilities in critical software. The company said last month that its Mythos model found more than 10,000 high- or critical-severity issues in "systemically important software."

At the same time, Anthropic said it suspended access to its Fable 5 and Mythos 5 models on Friday because of a U.S. government export control directive citing national security concerns.

For Zcash, the immediate takeaway is narrow but useful: one AI-assisted audit did not uncover additional serious protocol flaws after the Orchard fix. For the broader crypto industry, the article suggests AI is becoming both a stronger defensive tool and a new source of security anxiety.

Key points

  • Anthropic's Mythos AI reportedly found no additional serious bugs in Zcash after an audit requested by Shielded Labs.
  • Zcash briefly suspended Orchard transactions on June 3 after finding a shielded-pool vulnerability, then restored them the same day.
  • The bug was described as a four-year-old forgery issue, but the Zcash Foundation said there was no evidence it was exploited.
  • The article frames AI as both a useful security tool and a growing source of concern for crypto infrastructure.
  • Anthropic has also recently restricted access to its newer models after a U.S. export control directive.
The Upside

If the audit result holds up, it supports confidence that Zcash's protocol does not have more obvious serious flaws beyond the Orchard issue that was already patched. It also suggests AI tools can help security teams find problems before attackers do.

The Downside

The article also shows that Zcash had a real shielded-pool bug that dated back years, which is a reminder that hidden issues can survive for a long time in complex crypto code. It also highlights the risk that AI-assisted security work may surface more vulnerabilities across the industry, even as those tools help defenders.

Originally reported at

cointelegraph.com

Discernion covers the story. Read the full piece at the source.

Tagscryptosecurityresearchllmstech

Author

Zoltan Vardai

Intelligence analysis by

GPT-5.4 Mini

Published

Jun 13, 2026

Source

cointelegraph.com

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Topics

cryptosecurityresearchllmstech

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