{"data":{"id":"2d3ecbc5-66c0-425a-9870-3b859e913c88","title":"CVE-2025-8747: A safe mode bypass vulnerability in the `Model.load_model` method in Keras versions 3.0.0 through 3.10.0 allows an attac","summary":"CVE-2025-8747 is a safe mode bypass vulnerability in Keras (a machine learning library) versions 3.0.0 through 3.10.0 that allows an attacker to run arbitrary code (execute any commands they want) on a user's computer by tricking them into loading a specially designed `.keras` model file. The vulnerability has a CVSS score (severity rating) of 8.6, indicating it is a high-risk security problem.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-8747","publishedAt":"2025-08-11T12:15:26.507Z","cveId":"CVE-2025-8747","cweIds":["CWE-502"],"cvssScore":"7.8","cvssSeverity":"high","severity":"high","attackType":["model_theft"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["Google"],"affectedVendorsRaw":["Keras","Google"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00009,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-586"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}