CVE-2025-62608
criticalMLX is an array framework for machine learning on Apple silicon.
Vendor / product: Ml-explore — mlx
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
9.1
9.1 (CVSS v3.1)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H Severity source: NVD CVSS v3.1 (nvd@nist.gov)
Timeline (UTC)
Published: 2025-11-21 19:16
Modified: 2026-10-08 10:10
NVD status: Analyzed
Last synced 2 days ago
Verified against the source API 2026-10-27 07:06 UTC
Exploitation
Not listed in CISA KEV (as of last catalog sync)
Absence from KEV does not mean a CVE is not exploited. Exploitation status: unknown (no authoritative evidence in our sources).
Affected products
ml-explore / mlx <0.29.4
Weakness classification (CWE)
Source: NVD / CISA. “NVD-CWE-Other” and “NVD-CWE-noinfo” mean NVD could not assign a specific weakness.
Mitigation & advisories
Patch / mitigation: https://github.com/ml-explore/mlx/pull/1
Patch / mitigation: https://github.com/ml-explore/mlx/pull/2
References
- https://github.com/ml-explore/mlx/pull/1 security-advisories@github.com
- https://github.com/ml-explore/mlx/pull/2 security-advisories@github.com
- https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6 security-advisories@github.com
Data sources
NVD CVE API 2.0 — fetched 2026-10-27 07:06 UTC · record ↗