{"url":"http://public2.vulnerablecode.io/api/packages/46569?format=json","purl":"pkg:pypi/mlx@0.18.1","type":"pypi","namespace":"","name":"mlx","version":"0.18.1","qualifiers":{},"subpath":"","is_vulnerable":true,"next_non_vulnerable_version":"0.29.4","latest_non_vulnerable_version":"0.29.4","affected_by_vulnerabilities":[{"url":"http://public2.vulnerablecode.io/api/vulnerabilities/37147?format=json","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":[{"reference_url":"https://github.com/ml-explore/mlx","reference_id":"","reference_type":"","scores":[],"url":"https://github.com/ml-explore/mlx"},{"reference_url":"https://github.com/ml-explore/mlx/pull/1","reference_id":"","reference_type":"","scores":[{"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"},{"reference_url":"https://github.com/ml-explore/mlx/pull/2","reference_id":"","reference_type":"","scores":[{"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"},{"reference_url":"https://github.com/ml-explore/mlx/security/advisories/GHSA-w6vg-jg77-2qg6","reference_id":"","reference_type":"","scores":[{"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"},{"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"},{"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":[{"url":"http://public2.vulnerablecode.io/api/packages/46587?format=json","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"},{"url":"http://public2.vulnerablecode.io/api/vulnerabilities/37148?format=json","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":[{"reference_url":"https://github.com/ml-explore/mlx","reference_id":"","reference_type":"","scores":[],"url":"https://github.com/ml-explore/mlx"},{"reference_url":"https://github.com/ml-explore/mlx/security/advisories/GHSA-j842-xgm4-wf88","reference_id":"","reference_type":"","scores":[{"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"},{"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"},{"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":[{"url":"http://public2.vulnerablecode.io/api/packages/46587?format=json","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_score":null,"resource_url":"http://public2.vulnerablecode.io/packages/pkg:pypi/mlx@0.18.1"}