{"data":{"id":"9160ed2d-4156-4f6b-b10f-af3ba970d1d2","title":"CVE-2025-14926: Hugging Face Transformers SEW convert_config Code Injection Remote Code Execution Vulnerability. This vulnerability allo","summary":"A vulnerability in Hugging Face Transformers (a popular AI library) allows attackers to run arbitrary code on a user's computer through a malicious checkpoint (a saved model file). The flaw exists in the convert_config function, which doesn't properly validate user input before executing it as Python code, meaning an attacker can trick a user into converting a malicious checkpoint to execute code with the user's permissions.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-14926","publishedAt":"2025-12-24T02:15:47.857Z","cveId":"CVE-2025-14926","cweIds":["CWE-94"],"cvssScore":null,"cvssSeverity":null,"severity":"critical","attackType":[],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["Hugging Face","Hugging Face Transformers"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00099,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-242"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","confidentiality","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}