{"data":{"id":"010ed3c5-6202-4dee-92aa-d499d8d8e159","title":"CVE-2025-14927: Hugging Face Transformers SEW-D convert_config Code Injection Remote Code Execution Vulnerability. This vulnerability al","summary":"Hugging Face Transformers (a popular library for working with AI language models) has a vulnerability in its SEW-D convert_config function that allows attackers to run arbitrary code (any commands they want) on a victim's computer. The flaw exists because the function doesn't properly check user input before using it to execute Python code, and an attacker can exploit this by tricking a user into converting a malicious checkpoint (a saved model file).","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-14927","publishedAt":"2025-12-24T02:15:47.987Z","cveId":"CVE-2025-14927","cweIds":["CWE-94"],"cvssScore":null,"cvssSeverity":null,"severity":"critical","attackType":["supply_chain"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["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}}