{"data":{"id":"d129de0b-8192-4a44-a31b-267d37636ed2","title":"CVE-2025-3263: 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 input causes a program to use excessive CPU by making the regex engine work inefficiently) was found in the Hugging Face Transformers library version 4.49.0, specifically in a function that reads configuration files. An attacker could send malicious input to make the application slow down or crash by exhausting its computing resources.","solution":"Update to version 4.51.0, where the issue is resolved.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-3263","publishedAt":"2025-07-07T14:15:27.350Z","cveId":"CVE-2025-3263","cweIds":["CWE-1333"],"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["Hugging Face","Transformers library"],"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"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}