{"data":{"id":"e3f5c605-0cad-474d-8990-21e2799fb3b7","title":"CVE-2025-46153: PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency…","summary":"CVE-2025-46153 affects PyTorch before 3.7.0. A bernoulli_p decompose function in decompositions.py lacks full consistency with the eager CPU implementation, which negatively affects nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d when fallback_random=True. The NVD assessment has not yet been provided.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-46153","publishedAt":"2025-09-25T19:16:12.603Z","cveId":"CVE-2025-46153","cweIds":["CWE-1176"],"cvssScore":"5.3","cvssSeverity":"medium","severity":"medium","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["PyTorch"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":"PyTorch bernoulli_p decompose inconsistency with eager CPU implementation","headlinePromptVersion":"h1","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00419,"epssCheckedAt":"2026-11-04T18:09:14.469Z","kevDateAdded":null,"advisoryAliases":["GHSA-h36m-9qjr-pv93"],"affectedPackagesSource":null,"affectedPackagesCheckedAt":"2026-11-04T12:08:45.164Z","patchAvailable":null,"disclosureDate":null,"fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null,"fixes":[]}}