CVE-2025-62609: MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a segmentation fault
Summary
MLX is an array framework for machine learning on Apple silicon that has a vulnerability where loading malicious GGUF files (a machine learning model format) causes a segmentation fault (a crash where the program tries to access invalid memory). The problem occurs because the code dereferences an untrusted pointer (uses a memory address without checking if it's valid) from an external library without validation.
Solution / Mitigation
This issue has been patched in version 0.29.4. Users should update MLX to version 0.29.4 or later.
Vulnerability Details
7.5(high)
EPSS: 0.1%
Classification
Taxonomy References
Affected Vendors
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2025-62609
First tracked: February 15, 2026 at 08:53 PM
Classified by LLM (prompt v3) · confidence: 85%