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.
References
| Link | Resource |
|---|---|
| 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 |
Configurations
History
No history.
Information
Published : 2025-11-21 19:16
Updated : 2025-12-02 16:34
NVD link : CVE-2025-62608
Mitre link : CVE-2025-62608
CVE.ORG link : CVE-2025-62608
JSON object : View
Products Affected
ml-explore
- mlx
CWE
CWE-122
Heap-based Buffer Overflow
