Vulnerability Description
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.
CVSS Score
CRITICAL
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Ml-Explore | Mlx | < 0.29.4 |
Related Weaknesses (CWE)
References
- https://github.com/ml-explore/mlx/pull/1Issue TrackingPatch
- https://github.com/ml-explore/mlx/pull/2Issue TrackingPatch
- https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6ExploitVendor Advisory
FAQ
What is CVE-2025-62608?
CVE-2025-62608 is a vulnerability with a CVSS score of 9.1 (CRITICAL). 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...
How severe is CVE-2025-62608?
CVE-2025-62608 has been rated CRITICAL with a CVSS base score of 9.1/10. This is considered a critical vulnerability requiring immediate attention.
Is there a patch for CVE-2025-62608?
Check the references section above for vendor advisories and patch information. Affected products include: Ml-Explore Mlx.