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-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue has been patched in version 0.29.4.
Fix
Patch, vendor advisory and mitigation references on NVD 3
- https://github.com/ml-explore/mlx/pull/1 Issue Tracking, Patch
- https://github.com/ml-explore/mlx/pull/2 Issue Tracking, Patch
- https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6 Exploit, Vendor Advisory
Every line above is quoted from NVD, CISA, Microsoft, the vendor's own advisory or DISA; nothing is generated.
Change history 1
- First seenCVSS 5.5 · ml-exploreNVD modified 2026-10-08 10:10
Affected (CPE criteria) 1
cpe:2.3:a:ml-explore:mlx:*:*:*:*:*:*:*:*
References 3
- https://github.com/ml-explore/mlx/pull/1 Issue Tracking, Patch
- https://github.com/ml-explore/mlx/pull/2 Issue Tracking, Patch
- https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6 Exploit, Vendor Advisory