Lookup for vulnerable packages by Package URL.
| Purl | pkg:pypi/mlx@0.0.5 |
| Type | pypi |
| Namespace | |
| Name | mlx |
| Version | 0.0.5 |
| Qualifiers |
|
| Subpath | |
| Is_vulnerable | true |
| Next_non_vulnerable_version | 0.29.4 |
| Latest_non_vulnerable_version | 0.29.4 |
| Affected_by_vulnerabilities |
| 0 |
| url |
VCID-cb8d-gsaw-nuca |
| vulnerability_id |
VCID-cb8d-gsaw-nuca |
| summary |
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. |
| references |
| 0 |
|
| 1 |
|
| 2 |
| reference_url |
https://github.com/ml-explore/mlx/pull/1 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
9.1 |
| scoring_system |
cvssv3.1 |
| scoring_elements |
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H |
|
| 1 |
| value |
5.5 |
| scoring_system |
cvssv4 |
| scoring_elements |
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N/E:P |
|
| 2 |
| value |
MODERATE |
| scoring_system |
generic_textual |
| scoring_elements |
|
|
|
| url |
https://github.com/ml-explore/mlx/pull/1 |
|
| 3 |
| reference_url |
https://github.com/ml-explore/mlx/pull/2 |
| reference_id |
|
| reference_type |
|
| scores |
| 0 |
| value |
9.1 |
| scoring_system |
cvssv3.1 |
| scoring_elements |
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H |
|
| 1 |
| value |
5.5 |
| scoring_system |
cvssv4 |
| scoring_elements |
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:L/SC:N/SI:N/SA:N/E:P |
|
| 2 |
| value |
MODERATE |
| scoring_system |
generic_textual |
| scoring_elements |
|
|
|
| url |
https://github.com/ml-explore/mlx/pull/2 |
|
| 4 |
|
| 5 |
|
| 6 |
|
| 7 |
|
|
| fixed_packages |
|
| aliases |
CVE-2025-62608, GHSA-w6vg-jg77-2qg6, PYSEC-2025-138
|
| risk_score |
4.1 |
| exploitability |
0.5 |
| weighted_severity |
8.2 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-cb8d-gsaw-nuca |
|
| 1 |
| url |
VCID-vs6q-sx1s-wbf6 |
| vulnerability_id |
VCID-vs6q-sx1s-wbf6 |
| summary |
MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a segmentation fault in mlx::core::load_gguf() when loading malicious GGUF files. Untrusted pointer from external gguflib library is dereferenced without validation, causing application crash. This issue has been patched in version 0.29.4. |
| references |
|
| fixed_packages |
|
| aliases |
CVE-2025-62609, GHSA-j842-xgm4-wf88, PYSEC-2025-139
|
| risk_score |
3.4 |
| exploitability |
0.5 |
| weighted_severity |
6.8 |
| resource_url |
http://public2.vulnerablecode.io/vulnerabilities/VCID-vs6q-sx1s-wbf6 |
|
|
| Fixing_vulnerabilities |
|
| Risk_score | 4.1 |
| Resource_url | http://public2.vulnerablecode.io/packages/pkg:pypi/mlx@0.0.5 |