Blab Crypto
Zcash AI Audit Finds No New Serious Bugs After Orchard Bug Fix
Zcash, the privacy‑focused cryptocurrency that relies on zero‑knowledge proofs, has just completed a fresh security assessment by Anthropic’s Claude Mythos model. The audit, commissioned by Swiss non‑profit Shielded Labs, concluded that the protocol contains no additional serious vulnerabilities beyond the recently‑fixed Orchard bug.
The Orchard flaw was first uncovered on May 29 by security researcher Taylor Hornby with the aid of Anthropic’s Claude Opus 4.8 model. The four‑year‑old bug could have let an attacker forge transactions and generate unlimited counterfeit ZEC. When the flaw surfaced on June 3, Orchard transactions were temporarily halted. Developers rolled out an emergency upgrade the same day, restoring normal operation.
The Zcash Foundation quickly reassured users, stating that the vulnerability had never been exploited, no unauthorized value creation had been detected, and user privacy remained intact.
In a post published Saturday, Zcash founder Zooko Wilcox announced that the Mythos audit found no further serious bugs. Unlike the earlier review, the Mythos assessment covered the entire Zcash protocol, not just the Orchard pool. Wilcox framed the audit as a short‑term confidence check for both developers and users.
The exercise underscores how privacy coins depend on continuous security validation. Shielded pools are the backbone of Zcash’s anonymity guarantees; a flaw in that layer can undermine transaction processing and supply integrity. The fact that no unauthorized minting was discovered is especially reassuring for a network where transaction details are hidden.
Anthropic’s involvement reflects a growing trend of leveraging advanced AI to scan complex codebases. The company released its first public Claude Mythos model, Fable 5, in early June. Anthropic previously claimed that Mythos had identified more than 10,000 high‑ or critical‑severity vulnerabilities in systemically important software. However, on Friday the U.S. government ordered Anthropic to suspend access to Fable 5 and Mythos 5 for foreign nationals, citing national‑security concerns.
The policy move highlights the dual nature of AI security tools: they accelerate defenders’ ability to find weaknesses, but they also provide attackers with scalable methods to discover vulnerabilities. According to reports, crypto hacks reached $634 million in April, the highest monthly total since the Bybit hack in February 2025.
For privacy coins like Zcash, the stakes differ from typical DeFi platforms. A bridge exploit or lending‑market bug can drain visible liquidity, whereas a vulnerability in a shielded protocol raises questions about monetary integrity and privacy guarantees. The recent audit gives Zcash a stronger post‑incident position, but it also places the project within a broader debate over AI‑assisted security.
While AI models may become a standard part of crypto audits, they are unlikely to replace traditional review, formal verification, bug‑bounty programs, and conservative upgrade procedures. The near‑term message for the market is that AI can expose hidden protocol flaws, but it also compresses the window attackers have to find them.
For Zcash, the absence of serious new findings is a positive sign. For the wider crypto sector, the more pressing issue is whether defenses can scale as quickly as the tools now available to both researchers and adversaries.
The audit’s conclusion does not eliminate protocol risk, but it suggests that developers are actively testing whether the Orchard issue points to a broader class of vulnerabilities. The Zcash Foundation’s swift response to the bug and the subsequent AI audit demonstrate the project’s commitment to maintaining the integrity and privacy of its network.
In the coming weeks, stakeholders will watch for further updates on protocol upgrades, regulatory developments, and any additional security reviews. The incident underscores the importance of transparent remediation and repeated review in safeguarding privacy‑preserving digital assets.
The Orchard flaw was first uncovered on May 29 by security researcher Taylor Hornby with the aid of Anthropic’s Claude Opus 4.8 model. The four‑year‑old bug could have let an attacker forge transactions and generate unlimited counterfeit ZEC. When the flaw surfaced on June 3, Orchard transactions were temporarily halted. Developers rolled out an emergency upgrade the same day, restoring normal operation.
The Zcash Foundation quickly reassured users, stating that the vulnerability had never been exploited, no unauthorized value creation had been detected, and user privacy remained intact.
In a post published Saturday, Zcash founder Zooko Wilcox announced that the Mythos audit found no further serious bugs. Unlike the earlier review, the Mythos assessment covered the entire Zcash protocol, not just the Orchard pool. Wilcox framed the audit as a short‑term confidence check for both developers and users.
The exercise underscores how privacy coins depend on continuous security validation. Shielded pools are the backbone of Zcash’s anonymity guarantees; a flaw in that layer can undermine transaction processing and supply integrity. The fact that no unauthorized minting was discovered is especially reassuring for a network where transaction details are hidden.
Anthropic’s involvement reflects a growing trend of leveraging advanced AI to scan complex codebases. The company released its first public Claude Mythos model, Fable 5, in early June. Anthropic previously claimed that Mythos had identified more than 10,000 high‑ or critical‑severity vulnerabilities in systemically important software. However, on Friday the U.S. government ordered Anthropic to suspend access to Fable 5 and Mythos 5 for foreign nationals, citing national‑security concerns.
The policy move highlights the dual nature of AI security tools: they accelerate defenders’ ability to find weaknesses, but they also provide attackers with scalable methods to discover vulnerabilities. According to reports, crypto hacks reached $634 million in April, the highest monthly total since the Bybit hack in February 2025.
For privacy coins like Zcash, the stakes differ from typical DeFi platforms. A bridge exploit or lending‑market bug can drain visible liquidity, whereas a vulnerability in a shielded protocol raises questions about monetary integrity and privacy guarantees. The recent audit gives Zcash a stronger post‑incident position, but it also places the project within a broader debate over AI‑assisted security.
While AI models may become a standard part of crypto audits, they are unlikely to replace traditional review, formal verification, bug‑bounty programs, and conservative upgrade procedures. The near‑term message for the market is that AI can expose hidden protocol flaws, but it also compresses the window attackers have to find them.
For Zcash, the absence of serious new findings is a positive sign. For the wider crypto sector, the more pressing issue is whether defenses can scale as quickly as the tools now available to both researchers and adversaries.
The audit’s conclusion does not eliminate protocol risk, but it suggests that developers are actively testing whether the Orchard issue points to a broader class of vulnerabilities. The Zcash Foundation’s swift response to the bug and the subsequent AI audit demonstrate the project’s commitment to maintaining the integrity and privacy of its network.
In the coming weeks, stakeholders will watch for further updates on protocol upgrades, regulatory developments, and any additional security reviews. The incident underscores the importance of transparent remediation and repeated review in safeguarding privacy‑preserving digital assets.
