Package Instance
Lookup for vulnerable packages by Package URL.
GET /api/packages/44725?format=api
{ "url": "http://public2.vulnerablecode.io/api/packages/44725?format=api", "purl": "pkg:pypi/mlflow@2.17.1", "type": "pypi", "namespace": "", "name": "mlflow", "version": "2.17.1", "qualifiers": {}, "subpath": "", "is_vulnerable": true, "next_non_vulnerable_version": "3.11.0rc0", "latest_non_vulnerable_version": "3.11.0rc0", "affected_by_vulnerabilities": [ { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37267?format=api", "vulnerability_id": "VCID-cu1t-7wnm-y7hk", "summary": "MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint used to download saved model artifacts. Due to missing access‑control validation, a user without permissions to a given experiment can directly query this endpoint and retrieve model artifacts they are not authorized to access.\n\n \nThis issue affects MLflow version through 3.10.1", "references": [ { "reference_url": "https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N" } ], "url": "https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors" }, { "reference_url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865/", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N" } ], "url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865/" }, { "reference_url": "https://github.com/mlflow/mlflow/pull/21708", "reference_id": "", "reference_type": "", "scores": [ { "value": "4.3", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N" } ], "url": "https://github.com/mlflow/mlflow/pull/21708" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/49217?format=api", "purl": "pkg:pypi/mlflow@3.11.0rc0", "is_vulnerable": false, "affected_by_vulnerabilities": [], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@3.11.0rc0" } ], "aliases": [ "CVE-2026-33866", "PYSEC-2026-94" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-cu1t-7wnm-y7hk" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37266?format=api", "vulnerability_id": "VCID-g9p5-4cqv-qfew", "summary": "MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface. An authenticated attacker can upload a malicious MLmodel file containing a payload that executes when another user views the artifact in the UI. This allows actions such as session hijacking or performing operations on behalf of the victim. \n\nThis issue affects MLflow version through 3.10.1", "references": [ { "reference_url": "https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.4", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N" } ], "url": "https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors" }, { "reference_url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865/", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.4", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N" } ], "url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865/" }, { "reference_url": "https://github.com/mlflow/mlflow/pull/21435", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.4", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N" } ], "url": "https://github.com/mlflow/mlflow/pull/21435" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/49217?format=api", "purl": "pkg:pypi/mlflow@3.11.0rc0", "is_vulnerable": false, "affected_by_vulnerabilities": [], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@3.11.0rc0" } ], "aliases": [ "CVE-2026-33865", "PYSEC-2026-93" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-g9p5-4cqv-qfew" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37014?format=api", "vulnerability_id": "VCID-hz26-bm34-gkfx", "summary": "In mlflow/mlflow version 2.18, an admin is able to create a new user account without setting a password. This vulnerability could lead to security risks, as accounts without passwords may be susceptible to unauthorized access. Additionally, this issue violates best practices for secure user account management. The issue is fixed in version 2.19.0.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/commit/149c9e18aa219bc47e86b432e130e467a36f4a17", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:H/A:N" } ], "url": "https://github.com/mlflow/mlflow/commit/149c9e18aa219bc47e86b432e130e467a36f4a17" }, { "reference_url": "https://huntr.com/bounties/e79f7774-10fe-46b2-b522-e73b748e3b2d", "reference_id": "", "reference_type": "", "scores": [ { "value": "5.5", "scoring_system": "cvssv3.1", "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:H/A:N" } ], "url": "https://huntr.com/bounties/e79f7774-10fe-46b2-b522-e73b748e3b2d" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/44730?format=api", "purl": "pkg:pypi/mlflow@2.19.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" }, { "vulnerability": "VCID-rcqb-2498-77e2" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.19.0" } ], "aliases": [ "CVE-2025-1474", "PYSEC-2025-17" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-hz26-bm34-gkfx" }, { "url": "http://public2.vulnerablecode.io/api/vulnerabilities/37088?format=api", "vulnerability_id": "VCID-rcqb-2498-77e2", "summary": "gateway_proxy_handler in MLflow before 3.1.0 lacks gateway_path validation.", "references": [ { "reference_url": "https://github.com/mlflow/mlflow/issues/15944", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/issues/15944" }, { "reference_url": "https://github.com/mlflow/mlflow/pull/15970", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/pull/15970" }, { "reference_url": "https://github.com/mlflow/mlflow/releases/tag/v3.1.0", "reference_id": "", "reference_type": "", "scores": [], "url": "https://github.com/mlflow/mlflow/releases/tag/v3.1.0" } ], "fixed_packages": [ { "url": "http://public2.vulnerablecode.io/api/packages/45835?format=api", "purl": "pkg:pypi/mlflow@3.1.0", "is_vulnerable": true, "affected_by_vulnerabilities": [ { "vulnerability": "VCID-cu1t-7wnm-y7hk" }, { "vulnerability": "VCID-g9p5-4cqv-qfew" } ], "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@3.1.0" } ], "aliases": [ "CVE-2025-52967", "PYSEC-2025-52" ], "risk_score": null, "exploitability": null, "weighted_severity": null, "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-rcqb-2498-77e2" } ], "fixing_vulnerabilities": [], "risk_score": null, "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.17.1" }