{"data":{"id":"aa7c66c3-8d98-487b-9db2-a5ecfa3fccf5","title":"CVE-2026-80047: A vulnerability in Hugging Face Transformers (versions 4.49.0, <= 5.8.1) allows remote Python files to be written to loc","summary":"A vulnerability in Hugging Face Transformers (a library for building AI models) versions 4.49.0 through 5.8.1 allows attackers to write Python files to a user's computer without permission when using the GenerativePreTrainedModel.load_custom_generate() function. The problem occurs because the function downloads and saves remote code before checking if the user trusts that code, breaking the security model used elsewhere in the library. Even if a user refuses the trust prompt, malicious code files are already saved to disk and can persist across sessions.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-80047","publishedAt":"2026-09-01T14:17:41.943Z","cveId":"CVE-2026-80047","cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"high","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,"patchAvailable":null,"disclosureDate":"2026-09-01T14:17:41.943Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","confidentiality"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":["AML.T0010"]}}