{"action":"Upgrade mlx to 0.29.4 or later.","affected":[{"fixed":"0.29.4","introduced":"0"}],"component":"mlx","cve_ids":["CVE-2025-62608"],"ecosystem":"PyPI","epss":0.0056,"exploited":false,"fixed_versions":["0.29.4"],"ghsa_id":"GHSA-w6vg-jg77-2qg6","id":"tcs_01M5KGNT7S22P3BWK0XS1VTM91","modified_at":"2026-05-20T09:19:08.409674Z","published_at":"2025-11-21T19:16:02.267Z","references":["https://osv.dev/vulnerability/PYSEC-2025-138","https://github.com/ml-explore/mlx/pull/1","https://github.com/ml-explore/mlx/pull/2","https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6"],"severity":{"label":"critical","score":9.1},"sources":[{"source":"osv","source_id":"PYSEC-2025-138","url":"https://osv.dev/vulnerability/PYSEC-2025-138"}],"summary":"MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load() when parsing malicious NumPy .npy files. Attacker-control"}