{"data":{"id":"f80ab43b-cddf-4bc9-84c8-215923ef2c64","title":"CVE-2025-62608: MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflo","summary":"MLX is an array framework (a software library for handling arrays of data in machine learning) for Apple silicon computers. Before version 0.29.4, the software had a heap buffer overflow (a memory safety bug where the program reads beyond allocated memory) in its file-loading function when processing malicious NumPy .npy files (a common data format in machine learning), which could crash the program or leak sensitive information.","solution":"Update MLX to version 0.29.4 or later. The vulnerability has been patched in this version.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-62608","publishedAt":"2025-11-21T19:16:02.267Z","cveId":"CVE-2025-62608","cweIds":["CWE-122"],"cvssScore":"9.1","cvssSeverity":"critical","severity":"critical","attackType":["data_extraction"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["Apple"],"affectedVendorsRaw":["MLX","Apple"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00074,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-100"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}