{"data":{"id":"78bbf91b-e5c1-47ba-b5c7-169ca2d984af","title":"CVE-2026-31238: The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization (CWE-502) in its model serving component. Whe","summary":"The Ludwig framework (a machine learning tool) versions up to 0.10.4 has a vulnerability where it unsafely loads model files using a method that can execute arbitrary code. When someone runs the ludwig serve command to host a model, an attacker can provide a malicious model file that tricks the system into running their code, potentially taking over the server.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-31238","publishedAt":"2026-05-12T18:16:52.210Z","cveId":"CVE-2026-31238","cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"critical","attackType":["model_theft"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["Ludwig"],"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":"2026-05-12T18:16:52.210Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}