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Anthropic's AI finds one low-severity vulnerability in heavily audited curl codebase

  • What: Anthropic's AI finds one low-severity vulnerability in curl
  • Impact: Only one genuine vulnerability confirmed out of multiple claims
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AI/ML Anthropic’s AI finds one low-severity vulnerability in heavily audited curl codebase May 13, 2026 Share By SC Staff (Credit: ardasavasciogullari – stock.adobe.com) Anthropic's Claude Mythos AI model was announced with significant fanfare for its purported ability to identify code vulnerabilities. Initially generating alarm across the tech industry, the model's effectiveness was put to the test on the widely used curl data transfer library, Security Affairs reports. Daniel Stenberg, the creator of curl, reviewed a Mythos analysis of 176,000 lines of C code, which claimed to have found five "confirmed" vulnerabilities. However, upon closer inspection by Stenberg and his security team, only one low-severity issue was confirmed as a genuine vulnerability. The other four findings were either false positives, already documented in the API, or classified as simple bugs rather than security flaws. This outcome contrasts with previous AI tools that have identified hundreds of issues and CVEs in curl's codebase, which is already extensively fuzzed and audited. Stenberg concluded that the hype surrounding Mythos appeared to be primarily marketing, with no demonstrated advantage over existing security tools. While not dismissing AI tooling in general, he argued that Mythos did not show superiority on this specific, heavily scrutinized project. Source: Security Affairs An In-Depth Guide to AI Get essential knowledge and practical strategies to use AI to better your security program. Learn More SC Staff Related Managed Security Services The CISO shortage: Finding leadership without a leader Paul Wagenseil May 13, 2026 Thanks to AI, full-time CISO services may become available to firms that can't afford a full-time CISO. AI/ML Grego AI launches with AI-powered vulnerability detection SC Staff May 13, 2026 The company's method, called Deep Invariant Analysis, scans entire codebases to map module and dependency connections. AI benefits/risks What zero-trust looks like for AI agents Art Poghosyan May 13, 2026 Here’s four steps teams can take to secure newly-emerging agentic AI environments. Get daily email updates SC Media's daily must-read of the most current and pressing daily news Business Email By clicking the Subscribe button below, you agree to SC Media Terms of Use and Privacy Policy . Subscribe You can skip this ad in 5 seconds

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