{"data":{"id":"f4c1538e-400d-4f55-adca-658e257f19ca","title":"CVE-2025-55552: pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are us","summary":"PyTorch v2.8.0 has a vulnerability (CVE-2025-55552) where two functions, torch.rot90 (which rotates arrays) and torch.randn_like (which generates random numbers matching a given shape), behave unexpectedly when used together, possibly due to integer overflow or wraparound (where numbers wrap around to negative values instead of staying large).","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-55552","publishedAt":"2025-09-25T20:15:34.320Z","cveId":"CVE-2025-55552","cweIds":["CWE-190","CWE-682"],"cvssScore":"7.5","cvssSeverity":"high","severity":"high","attackType":[],"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":0.00081,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}