{"data":{"id":"6c0d52c2-73f6-40e2-a6d2-7a3bc3314370","title":"CVE-2025-55557: A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading","summary":"PyTorch version 2.7.0 has a bug where a name error occurs when a model uses torch.cummin (a function that finds cumulative minimum values) and is compiled by Inductor (PyTorch's compiler for optimizing code). This causes a Denial of Service (DoS, where a system becomes unavailable to users).","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-55557","publishedAt":"2025-09-25T20:15:34.833Z","cveId":"CVE-2025-55557","cweIds":["CWE-248"],"cvssScore":"7.5","cvssSeverity":"high","severity":"high","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["PyTorch"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.0005,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}