{"data":{"id":"0e0ea467-9346-4e69-b297-30ffffb6e0ba","title":"CVE-2025-3264: A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, sp","summary":"A ReDoS vulnerability (regular expression denial of service, where specially crafted text causes a regex pattern to consume excessive CPU) was found in Hugging Face Transformers library version 4.49.0, specifically in code that filters Python try/except blocks. Attackers could exploit this to crash or slow down systems using the library, potentially disrupting model serving or supply chain processes.","solution":"Update to version 4.51.0, where the vulnerability is fixed.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-3264","publishedAt":"2025-07-07T14:15:27.500Z","cveId":"CVE-2025-3264","cweIds":["CWE-1333"],"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["Hugging Face Transformers"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00035,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability","integrity"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}