{"data":{"id":"83deb697-4f88-4b7b-bc94-78e5c2f9f080","title":"CVE-2026-31221: PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoi","summary":"PyTorch-Lightning versions 2.6.0 and earlier have a vulnerability in their checkpoint loading function that allows attackers to execute arbitrary code (running any commands they want on a victim's computer) by providing a malicious checkpoint file. The problem occurs because the code uses torch.load() without the weights_only=True parameter, which means it can deserialize (reconstruct) any Python object, including dangerous ones hidden in the checkpoint file.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-31221","publishedAt":"2026-05-12T16:16:14.020Z","cveId":"CVE-2026-31221","cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"critical","attackType":["model_theft"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["PyTorch-Lightning","PyTorch"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0,"patchAvailable":null,"disclosureDate":"2026-05-12T16:16:14.020Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}