Anthropic’s Claude Mythos Preview is raising new concerns across the tech and crypto sectors after identifying thousands of zero-day vulnerabilities in major operating systems and browsers—including critical weaknesses in cryptographic libraries that support decentralized finance (DeFi).
According to the company, the model can autonomously detect and exploit previously unknown software flaws at a level that exceeds both decades of human security research and the capabilities of existing automated tools.
Its performance points to a potential shift in the cybersecurity landscape, with notable implications for crypto infrastructure. Mythos appears uniquely adept at uncovering deeply embedded bugs—issues that have remained hidden despite years of scrutiny.
In one case, the model identified a 27-year-old vulnerability in OpenBSD, an operating system designed with security as a core principle, for less than $50 in compute. It also discovered a flaw in FFmpeg—software central to global video streaming—that had gone unnoticed for 16 years, even after millions of automated scans.
The model has also demonstrated the ability to combine multiple weaknesses into coordinated attacks. It successfully built a browser exploit by chaining four vulnerabilities together, bypassing layered defenses. In another instance, it converted a known Linux flaw into a fully operational exploit in under a day for less than $2,000—work that would typically require weeks from an experienced researcher.
These findings have triggered alarm within the industry. Unlike long-discussed but largely theoretical threats—such as quantum computing risks to Bitcoin—Mythos is already active and uncovering vulnerabilities in systems that protect real user funds.
Of particular concern for crypto are the vulnerabilities Mythos reportedly found in widely used cryptographic tools, including TLS, AES-GCM, and SSH. These technologies underpin internet security, enabling encrypted communications, secure web connections, and remote access to servers that power exchanges and DeFi protocols.
If exploited, such weaknesses could allow attackers to forge certificates or decrypt sensitive data, posing serious systemic risks.
DeFi protocols may face elevated exposure due to their open-source design. With code freely accessible, an AI system like Mythos can scan entire codebases, identify weaknesses, and map potential exploits at machine speed and minimal cost.
While more than $200 billion remains locked in smart contracts across ecosystems like Ethereum and Solana—many of which have undergone extensive audits—Anthropic suggests its model can outperform both human reviewers and conventional scanning tools.
The company also warned that security measures built on friction rather than fundamental protections may become less effective against AI-powered attackers. Mechanisms such as multisignature approvals, transaction delays, and audit certifications may slow intrusions but do not eliminate underlying code vulnerabilities.
So far, markets have shown little reaction. The CoinDesk DeFi Select Index rose 7% over the past 24 hours, outperforming Bitcoin and Ether, supported by improved risk sentiment following a temporary U.S.-Iran ceasefire.
Still, the longer-term implications may be harder to ignore. As AI capabilities like Mythos evolve, traders and developers alike may need to factor in a new category of risk—one that directly targets the software foundations of blockchain systems.
Anthropic has not made the model publicly available. Instead, it is being shared with a select group of around 40 major technology firms, including Google, Apple, and Microsoft, as part of an initiative known as Project Glasswing.
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