{"data":{"id":"ac56a9b8-5c5e-48a5-81d3-1080d6bc6199","title":"CVE-2025-3121: A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module","summary":"CVE-2025-3121 is a memory corruption vulnerability (where a program accidentally writes data to wrong memory locations) found in PyTorch 2.6.0, specifically in the torch.jit.jit_module_from_flatbuffer function. An attacker with local access (meaning they can run code on the same computer) could exploit this vulnerability, and the exploit details have been publicly disclosed.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-3121","publishedAt":"2025-04-03T02:15:21.220Z","cveId":"CVE-2025-3121","cweIds":["CWE-119"],"cvssScore":"3.3","cvssSeverity":"low","severity":"low","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":0.00093,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-100"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}