Django REST framework

Package Instance

Lookup for vulnerable packages by Package URL.

Purlpkg:pypi/mlx@0.2.0
Typepypi
Namespace
Namemlx
Version0.2.0
Qualifiers
Subpath
Is_vulnerabletrue
Next_non_vulnerable_version0.29.4
Latest_non_vulnerable_version0.29.4
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
reference_url https://github.com/ml-explore/mlx
reference_id
reference_type
scores
url https://github.com/ml-explore/mlx
1
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
url https://github.com/ml-explore/mlx/pull/1
2
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
url https://github.com/ml-explore/mlx/pull/2
3
reference_url https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6
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
url https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6
4
reference_url https://nvd.nist.gov/vuln/detail/CVE-2025-62608
reference_id CVE-2025-62608
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2025-62608
5
reference_url https://github.com/advisories/GHSA-w6vg-jg77-2qg6
reference_id GHSA-w6vg-jg77-2qg6
reference_type
scores
url https://github.com/advisories/GHSA-w6vg-jg77-2qg6
fixed_packages
0
url pkg:pypi/mlx@0.29.4
purl pkg:pypi/mlx@0.29.4
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/mlx@0.29.4
aliases CVE-2025-62608, GHSA-w6vg-jg77-2qg6, PYSEC-2025-138
risk_score null
exploitability null
weighted_severity null
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
0
reference_url https://github.com/ml-explore/mlx
reference_id
reference_type
scores
url https://github.com/ml-explore/mlx
1
reference_url https://github.com/ml-explore/mlx/security/advisories/GHSA-j842-xgm4-wf88
reference_id
reference_type
scores
0
value 7.5
scoring_system cvssv3.1
scoring_elements CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
url https://github.com/ml-explore/mlx/security/advisories/GHSA-j842-xgm4-wf88
2
reference_url https://nvd.nist.gov/vuln/detail/CVE-2025-62609
reference_id CVE-2025-62609
reference_type
scores
url https://nvd.nist.gov/vuln/detail/CVE-2025-62609
3
reference_url https://github.com/advisories/GHSA-j842-xgm4-wf88
reference_id GHSA-j842-xgm4-wf88
reference_type
scores
url https://github.com/advisories/GHSA-j842-xgm4-wf88
fixed_packages
0
url pkg:pypi/mlx@0.29.4
purl pkg:pypi/mlx@0.29.4
is_vulnerable false
affected_by_vulnerabilities
resource_url http://public2.vulnerablecode.io/packages/pkg:pypi/mlx@0.29.4
aliases CVE-2025-62609, GHSA-j842-xgm4-wf88, PYSEC-2025-139
risk_score null
exploitability null
weighted_severity null
resource_url http://public2.vulnerablecode.io/vulnerabilities/VCID-vs6q-sx1s-wbf6
Fixing_vulnerabilities
Risk_scorenull
Resource_urlhttp://public2.vulnerablecode.io/packages/pkg:pypi/mlx@0.2.0