{"data":{"id":"e667a4a1-0085-403e-91bb-5b9138aabce9","title":"CVE-2025-2999: A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.","summary":"CVE-2025-2999 is a critical vulnerability in PyTorch 2.6.0 affecting the torch.nn.utils.rnn.unpack_sequence function, which causes memory corruption (unsafe access to computer memory). An attacker must have local access (ability to run code on the same machine) to exploit this bug, and the vulnerability has already been made public.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-2999","publishedAt":"2025-03-31T19:15:44.657Z","cveId":"CVE-2025-2999","cweIds":["CWE-119"],"cvssScore":"5.3","cvssSeverity":"medium","severity":"medium","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":0.00139,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-100"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}