An AI model has identified a four-year-old flaw in Zcash, leading security experts to caution that other hidden vulnerabilities might exist in both crypto and traditional finance.
By Olivier Acuna|Edited by Aoyon Ashraf Jun 5, 2026, 6:02 p.m. 4 min readMake preferred onKey Points:
- An AI model discovered a significant bug in Zcash that could have led to unlimited token issuance, causing a major selloff in the cryptocurrency.
- This incident has heightened concerns that advanced AI systems may unveil similar vulnerabilities in both crypto networks and traditional banking applications.
- Top investors and researchers suggest that AI-driven formal verification could serve as a crucial long-term safeguard for essential financial software.
A critical vulnerability uncovered in the Zcash privacy network by AI may signal the presence of similar undiscovered flaws in crypto and banking software.
The crypto community is alarmed that this bug, which had been dormant for four years, was recently identified by Shielded Labs, a nonprofit developer, utilizing Anthropic's Opus 4.8 AI model. Zcash confirmed that the flaw, which could have enabled an attacker to create infinite counterfeit tokens, has now been addressed.
This revelation has triggered significant anxiety within the crypto community, leading to a nearly 38% drop in the value of Zcash within a day. Some users on social media even declared, "Crypto is dead. We should have pivoted to AI."
The pressing question is whether the crypto sector's security is at risk as AI continues to evolve, especially with the anticipated release of Anthropic's more advanced Mythos model, which is expected to enhance the detection of system weaknesses.
In contrast, Haseeb Qureshi, Managing Partner at the crypto investment firm Dragonfly, believes that AI's ability to find vulnerabilities is beneficial as it enhances code quality. He stated, "While AI found this bug, AI will also deliver the fix for the whole category: formal verification. I'm very bullish on this as the path to harden all software across the industry," in a post on X.
Despite Qureshi's optimism regarding Zcash and AI's role in crypto security, Ben Goertzel, CEO of SingularityNET, warned that similar vulnerabilities are likely present not just in crypto but also in traditional banking systems.
Goertzel explained, “Other cryptocurrencies are not vulnerable to this specific bug, which was a simple logic error in the Zcash implementation,” but he cautioned that many other cryptocurrencies could possess similar vulnerabilities that AI tools may uncover in the near future.
He further remarked that “the software infrastructures of banks and other centralized institutions are also very likely to embody serious bugs to be found by AI tools in the near future.”
Addressing the AI Threat
So what can be done to mitigate this AI-related risk?
Both Qureshi and Goertzel advocate for a shift towards "formal verification" in cryptographic code and broader software infrastructure.
This approach involves "drafting proofs of mathematical theorems in a manner that allows for automatic verification," as noted by Ethereum co-founder Vitalik Buterin, who emphasized that AI-assisted formal verification could become a vital tool for cybersecurity as AI systems grow more adept at identifying software vulnerabilities.
Qureshi echoed this view, stating, "Formally verified cryptography can't have implementation bugs by construction. Right now AI is surfacing vulnerabilities across all our software--browsers, operating systems, and blockchains are no exception," emphasizing that formally verified software is essential for mission-critical applications, which Zcash is focusing on in its development roadmap.
Goertzel elaborated on why developers are not yet utilizing formal verification to secure their software. He indicated that while the Rust programming language used by Zcash can be formally verified, this process is seldom undertaken due to the additional effort required. He also pointed out that core Rust libraries often incorporate "unsafe" constructs that complicate verification. However, he suggested that rewriting these components for safety could slow down the software, a challenge that could potentially be addressed through techniques like "supercompilation" to enhance performance.
Asymmetric Security Challenges
Implementing these protective measures is no small feat, according to Ronghui Gu, CEO and co-founder of security firm CertiK. He noted that the current landscape resembles an unequal struggle.
Gu stated, "We’re currently witnessing an AI token consumption war where hackers are highly motivated by profit. They can expend vast amounts of AI tokens targeting specific projects or smart contracts." He explained that profit-driven hackers are engaged in a token consumption battle, utilizing significant computing resources to focus on individual smart contracts. In contrast, security firms must defend numerous clients simultaneously, making it infeasible to concentrate resources on a single target without incurring hefty costs.
To mitigate this asymmetric risk, Gu advised that security firms integrate automated scanners into daily development workflows through smaller, on-demand sessions while leveraging mathematical proofs to ensure that contracts meet essential security standards.
For Gu, the challenge has evolved from merely identifying bugs before attackers find them to scaling defenses quickly enough to keep pace with increasingly sophisticated AI systems.
While discussions on how to prevent such vulnerabilities will persist, the pressing question for all developers remains how to ensure that similar incidents do not recur. Josh Swihart, CEO of ZODL and former CEO of Electric Coin Company, aptly summarized this concern:
"The more interesting question is how we ensure that vulnerabilities never happen again. The best answer is formal verification," Swihart remarked in his X article, titled "Never Again."
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