{"data":{"id":"ef7876e0-06b1-42f9-b893-d8dd0f43b561","title":"CVE-2025-55551: An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when per","summary":"A vulnerability (CVE-2025-55551) exists in PyTorch version 2.8.0 in a math component called torch.linalg.lu that allows attackers to cause a Denial of Service (DoS, where a system becomes unavailable to users) by performing a slice operation (extracting a portion of data). The issue involves uncontrolled resource consumption (CWE-400, where a program uses too much memory or processing power without limits).","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-55551","publishedAt":"2025-09-25T19:16:12.887Z","cveId":"CVE-2025-55551","cweIds":["CWE-400"],"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":0.001,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-125","CAPEC-130"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}