CVE-2025-62608

9.1 CRITICAL
Published: November 21, 2025 Modified: December 02, 2025

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.

AI Explanation

Get an AI-powered plain-language explanation of this vulnerability and remediation steps.

Login to generate AI explanation

CVSS v3.x Details

0.0 Low Medium High Critical 10.0
Vector String
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H

References to Advisories, Solutions, and Tools

Patch Vendor Advisory Exploit Third Party Advisory
https://github.com/ml-explore/mlx/pull/1
Source: security-advisories@github.com
Issue Tracking Patch
https://github.com/ml-explore/mlx/pull/2
Source: security-advisories@github.com
Issue Tracking Patch
https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6
Source: security-advisories@github.com
Exploit Vendor Advisory

3 reference(s) from NVD

Quick Stats

CVSS v3 Score
9.1 / 10.0
EPSS (Exploit Probability)
0.1%
16th percentile
Exploitation Status
Not in CISA KEV

Weaknesses (CWE)

Affected Vendors

ml-explore