PYSEC-2025-138
Vulnerability from pysec - Published: 2025-11-21 19:16 - Updated: 2026-05-20 09:19
VLAI
Details
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.
Severity
9.1 (Critical)
Impacted products
| Name | purl | mlx | pkg:pypi/mlx |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "mlx",
"purl": "pkg:pypi/mlx"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.29.4"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.0.10",
"0.0.11",
"0.0.2",
"0.0.3",
"0.0.4",
"0.0.5",
"0.0.6",
"0.0.7",
"0.0.9",
"0.1.0",
"0.10.0",
"0.11.1",
"0.12.2",
"0.13.0",
"0.13.1",
"0.14.1",
"0.15.2",
"0.16.3",
"0.17.3",
"0.18.1",
"0.19.3",
"0.2.0",
"0.20.0",
"0.21.1",
"0.22.1",
"0.23.2",
"0.24.2",
"0.25.2",
"0.26.1",
"0.26.2",
"0.26.3",
"0.26.5",
"0.27.1",
"0.28.0",
"0.29.0",
"0.29.1",
"0.29.2",
"0.29.3",
"0.3.0",
"0.4.0",
"0.5.1",
"0.6.0",
"0.7.0",
"0.8.1",
"0.9.1"
]
}
],
"aliases": [
"CVE-2025-62608",
"GHSA-w6vg-jg77-2qg6"
],
"details": "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.",
"id": "PYSEC-2025-138",
"modified": "2026-05-20T09:19:08.409674Z",
"published": "2025-11-21T19:16:02.267Z",
"references": [
{
"type": "FIX",
"url": "https://github.com/ml-explore/mlx/pull/1"
},
{
"type": "FIX",
"url": "https://github.com/ml-explore/mlx/pull/2"
},
{
"type": "EVIDENCE",
"url": "https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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