{"data":{"id":"7f7d534c-8d19-4cf9-be9a-933510fa80ad","title":"CVE-2026-31222: The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the Trainer.load() meth","summary":"The snorkel library up to version 0.10.0 has a vulnerability in its Trainer.load() method that unsafely deserializes (converts saved data back into objects) model files using torch.load() without security protections. An attacker can craft a malicious model file that executes arbitrary code (RCE, remote code execution) when a user loads it with this method.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-31222","publishedAt":"2026-05-12T16:16:14.120Z","cveId":"CVE-2026-31222","cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["model_theft"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["Snorkel AI"],"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":"2026-05-12T16:16:14.120Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","confidentiality","availability"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}