{"data":{"id":"52768d17-18f0-46f2-b554-02fa0695a700","title":"CVE-2026-31239: The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization (CWE-502) when loading pre-train","summary":"The mamba language model framework (versions up to 2.2.6) has a vulnerability in how it loads pre-trained models from HuggingFace Hub (a platform where AI models are shared). When loading models, it uses an unsafe method called torch.load() without the weights_only=True security parameter, which allows attackers to sneak malicious code into model files. An attacker could upload a compromised model to HuggingFace Hub, and when someone downloads and loads it, the attacker's code runs on their computer.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-31239","publishedAt":"2026-05-12T18:16:52.320Z","cveId":"CVE-2026-31239","cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"critical","attackType":["supply_chain","model_theft"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["Mamba","HuggingFace Hub","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":"2026-05-12T18:16:52.320Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","confidentiality"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}