{"data":{"id":"b0690a64-1ef1-4bc7-8a17-b94363457a61","title":"CVE-2025-1194: A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, spe","summary":"A ReDoS vulnerability (regular expression denial of service, where specially crafted text causes a regex to consume excessive CPU by repeatedly backtracking) was found in the huggingface/transformers library version 4.48.1, specifically in the GPT-NeoX-Japanese model's tokenizer. An attacker could exploit this by sending malicious input that causes the application to hang or crash due to high CPU usage.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-1194","publishedAt":"2025-04-29T16:15:31.717Z","cveId":"CVE-2025-1194","cweIds":["CWE-1333"],"cvssScore":"6.5","cvssSeverity":"medium","severity":"medium","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["HuggingFace","transformers library","GPT-NeoX-Japanese"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00078,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}