Package Instance

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{
    "url": "http://public2.vulnerablecode.io/api/packages/46566?format=api",
    "purl": "pkg:pypi/mlx@0.15.2",
    "type": "pypi",
    "namespace": "",
    "name": "mlx",
    "version": "0.15.2",
    "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=api",
            "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": [],
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                }
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                {
                    "url": "http://public2.vulnerablecode.io/api/packages/46587?format=api",
                    "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=api",
            "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"
                }
            ],
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                {
                    "url": "http://public2.vulnerablecode.io/api/packages/46587?format=api",
                    "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@0.15.2"
}