CVE-2025-62608
BaseFortify
Publication date: 2025-11-21
Last updated on: 2025-12-02
Assigner: GitHub, Inc.
Description
Description
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| ml-explore | mlx | to 0.29.4 (exc) |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-122 | A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
This vulnerability is a heap buffer overflow in the MLX array framework for machine learning on Apple silicon. It occurs in the mlx::core::load() function when parsing malicious NumPy .npy files. The attacker can craft a file that causes a 13-byte out-of-bounds read, which can lead to a crash or information disclosure.
How can this vulnerability impact me? :
The vulnerability can cause the application using MLX to crash or potentially disclose sensitive information due to the out-of-bounds read caused by a maliciously crafted NumPy file. This could lead to denial of service or leakage of information.
What immediate steps should I take to mitigate this vulnerability?
Update the MLX array framework to version 0.29.4 or later, as this version contains the patch that fixes the heap buffer overflow vulnerability caused by parsing malicious NumPy .npy files.