{"data":{"id":"dc70cf75-f424-47c3-af85-07d07f967c99","title":"CVE-2025-46150: In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results.","summary":"CVE-2025-46150 affects PyTorch before 2.7.0. When torch.compile is used, FractionalMaxPool2d produces inconsistent results. NIST has not yet provided an NVD assessment, and the source lists no CVSS score.","solution":"The source links a pull request (https://github.com/pytorch/pytorch/pull/144395) and an issue thread (https://github.com/pytorch/pytorch/issues/141538), but does not state a fixed version, patch, configuration change or workaround in the text.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-46150","publishedAt":"2025-09-25T19:16:12.303Z","cveId":"CVE-2025-46150","cweIds":null,"cvssScore":"5.3","cvssSeverity":"medium","severity":"medium","attackType":[],"issueType":"vulnerability","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["PyTorch"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":"PyTorch inconsistent results in FractionalMaxPool2d under torch.compile","headlinePromptVersion":"h1","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00385,"epssCheckedAt":"2026-11-04T18:09:14.050Z","kevDateAdded":null,"advisoryAliases":["GHSA-v5f2-jg66-6h4h"],"affectedPackagesSource":null,"affectedPackagesCheckedAt":"2026-11-04T12:08:45.971Z","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":[]}}