{"data":{"id":"4a16946b-8cfd-4a3c-8496-b85f302e8544","title":"Anthropic: Mythos Detected 23,000 Potential Vulnerabilities Across 1,000 OSS Projects","summary":"Anthropic's Claude Mythos model, an AI system designed to find security vulnerabilities (bugs that attackers could exploit), discovered over 23,000 potential weaknesses across more than 1,000 open source software projects, with 1,726 confirmed vulnerabilities including over 1,000 rated as high or critical severity. So far, 75 of these serious issues have been patched by software vendors, and Anthropic expects this number to grow significantly as vendors continue their 90-day review period. The company has also released Claude Security, a tool to help developers scan their own code for security issues.","solution":"Anthropic has unveiled Claude Security, a codebase scanner designed to help developers find security issues in their applications. Additionally, Anthropic is working to add safeguards to prevent misuse of Mythos and has limited its access through Project Glasswing (a program that gives about 50 organizations controlled access to the model) while developing stronger protections before making it more widely available.","labels":["security","research"],"sourceUrl":"https://www.securityweek.com/anthropic-mythos-detected-23000-potential-vulnerabilities-across-1000-oss-projects/","publishedAt":"2026-05-25T10:58:07.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"news","affectedPackages":null,"affectedVendors":["Anthropic"],"affectedVendorsRaw":["Anthropic","Claude","Mythos","Mozilla","Firefox","Palo Alto Networks","Google","Chrome","Curl","XBOW"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-05-25T10:58:07.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}