{"data":{"id":"6fd9b59f-f2e8-4895-8bbc-6c6201b848bf","title":"CVE-2025-1550: The Keras Model.load_model function permits arbitrary code execution, even with safe_mode=True, through a manually const","summary":"Keras, a machine learning library, has a vulnerability in its Model.load_model function that allows attackers to run arbitrary code (code injection, where an attacker makes a program execute unintended commands) even when safety features are enabled. An attacker can create a malicious .keras file (a special archive format) and modify its config.json file to specify malicious Python code that runs when the model is loaded.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-1550","publishedAt":"2025-03-11T13:15:25.217Z","cveId":"CVE-2025-1550","cweIds":["CWE-94"],"cvssScore":"9.8","cvssSeverity":"critical","severity":"critical","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":0.04785,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-242"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}