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.
https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6
Published: 2025-11-21
Updated: 2025-11-25
Base Score: 5.8
Vector: CVSS2#AV:N/AC:M/Au:N/C:P/I:N/A:P
Severity: Medium
Base Score: 7.1
Vector: CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H
Severity: High
Base Score: 6.9
Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N
Severity: Medium
EPSS: 0.00034