Lookup for vulnerable packages by Package URL.

GET /api/packages/39932?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "url": "http://public2.vulnerablecode.io/api/packages/39932?format=api",
    "purl": "pkg:pypi/mlflow@2.12.0",
    "type": "pypi",
    "namespace": "",
    "name": "mlflow",
    "version": "2.12.0",
    "qualifiers": {},
    "subpath": "",
    "is_vulnerable": true,
    "next_non_vulnerable_version": "3.11.0rc0",
    "latest_non_vulnerable_version": "3.11.1",
    "affected_by_vulnerabilities": [
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/9350?format=api",
            "vulnerability_id": "VCID-96st-1wwr-4ken",
            "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://api.first.org/data/v1/epss?cve=CVE-2025-1474",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "0.00104",
                            "scoring_system": "epss",
                            "scoring_elements": "0.28075",
                            "published_at": "2026-05-30T12:55:00Z"
                        }
                    ],
                    "url": "https://api.first.org/data/v1/epss?cve=CVE-2025-1474"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "3.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N"
                        },
                        {
                            "value": "LOW",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow/commit/149c9e18aa219bc47e86b432e130e467a36f4a17",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "3.8",
                            "scoring_system": "cvssv3",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N"
                        },
                        {
                            "value": "3.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N"
                        },
                        {
                            "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"
                        },
                        {
                            "value": "LOW",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        },
                        {
                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-03-20T17:48:58Z/"
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow/commit/149c9e18aa219bc47e86b432e130e467a36f4a17"
                },
                {
                    "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2025-17.yaml",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "3.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N"
                        },
                        {
                            "value": "LOW",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2025-17.yaml"
                },
                {
                    "reference_url": "https://huntr.com/bounties/e79f7774-10fe-46b2-b522-e73b748e3b2d",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "3.8",
                            "scoring_system": "cvssv3",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N"
                        },
                        {
                            "value": "3.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N"
                        },
                        {
                            "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"
                        },
                        {
                            "value": "LOW",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        },
                        {
                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2025-03-20T17:48:58Z/"
                        }
                    ],
                    "url": "https://huntr.com/bounties/e79f7774-10fe-46b2-b522-e73b748e3b2d"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2025-1474",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "3.8",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N"
                        },
                        {
                            "value": "LOW",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-1474"
                },
                {
                    "reference_url": "https://github.com/advisories/GHSA-4rj2-9gcx-5qhx",
                    "reference_id": "GHSA-4rj2-9gcx-5qhx",
                    "reference_type": "",
                    "scores": [],
                    "url": "https://github.com/advisories/GHSA-4rj2-9gcx-5qhx"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/43623?format=api",
                    "purl": "pkg:pypi/mlflow@2.19.0",
                    "is_vulnerable": true,
                    "affected_by_vulnerabilities": [
                        {
                            "vulnerability": "VCID-pugd-v7em-sbec"
                        },
                        {
                            "vulnerability": "VCID-qnyj-3qc7-p7bp"
                        },
                        {
                            "vulnerability": "VCID-xge2-eqq3-7bb9"
                        }
                    ],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.19.0"
                }
            ],
            "aliases": [
                "BIT-mlflow-2025-1474",
                "CVE-2025-1474",
                "GHSA-4rj2-9gcx-5qhx",
                "PYSEC-2025-17"
            ],
            "risk_score": 2.5,
            "exploitability": "0.5",
            "weighted_severity": "5.0",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-96st-1wwr-4ken"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/9600?format=api",
            "vulnerability_id": "VCID-pugd-v7em-sbec",
            "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"
                        },
                        {
                            "value": "5.1",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:L/VA:N/SC:L/SI:L/SA:N"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        },
                        {
                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2026-04-14T15:13:51Z/"
                        }
                    ],
                    "url": "https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors"
                },
                {
                    "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2026-33865",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "0.00011",
                            "scoring_system": "epss",
                            "scoring_elements": "0.0132",
                            "published_at": "2026-05-30T12:55:00Z"
                        }
                    ],
                    "url": "https://api.first.org/data/v1/epss?cve=CVE-2026-33865"
                },
                {
                    "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"
                        },
                        {
                            "value": "5.1",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:L/VA:N/SC:L/SI:L/SA:N"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865"
                },
                {
                    "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"
                        },
                        {
                            "value": "5.1",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:L/VA:N/SC:L/SI:L/SA:N"
                        },
                        {
                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2026-04-14T15:13:51Z/"
                        }
                    ],
                    "url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865/"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow",
                    "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"
                        },
                        {
                            "value": "5.1",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:L/VA:N/SC:L/SI:L/SA:N"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow/commit/aca4dd0ec88a12f7655155c224371280e9b45dda",
                    "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"
                        },
                        {
                            "value": "5.1",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:L/VA:N/SC:L/SI:L/SA:N"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow/commit/aca4dd0ec88a12f7655155c224371280e9b45dda"
                },
                {
                    "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"
                        },
                        {
                            "value": "5.1",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:L/VA:N/SC:L/SI:L/SA:N"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        },
                        {
                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2026-04-14T15:13:51Z/"
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow/pull/21435"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/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"
                        },
                        {
                            "value": "5.1",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:L/VA:N/SC:L/SI:L/SA:N"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-33865"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/48110?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"
                },
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/188597?format=api",
                    "purl": "pkg:pypi/mlflow@3.11.1",
                    "is_vulnerable": false,
                    "affected_by_vulnerabilities": [],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@3.11.1"
                }
            ],
            "aliases": [
                "BIT-mlflow-2026-33865",
                "CVE-2026-33865",
                "GHSA-fh64-r2vc-xvhr",
                "PYSEC-2026-93"
            ],
            "risk_score": 2.5,
            "exploitability": "0.5",
            "weighted_severity": "4.9",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-pugd-v7em-sbec"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/9601?format=api",
            "vulnerability_id": "VCID-qnyj-3qc7-p7bp",
            "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"
                        },
                        {
                            "value": "5.3",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        },
                        {
                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:Y/T:P/P:M/B:A/M:M/D:T/2026-04-14T15:12:33Z/"
                        }
                    ],
                    "url": "https://afine.com/blogs/attacking-mlflow-how-ml-artifacts-become-attack-vectors"
                },
                {
                    "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2026-33866",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9e-05",
                            "scoring_system": "epss",
                            "scoring_elements": "0.01037",
                            "published_at": "2026-05-30T12:55:00Z"
                        }
                    ],
                    "url": "https://api.first.org/data/v1/epss?cve=CVE-2026-33866"
                },
                {
                    "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"
                        },
                        {
                            "value": "5.3",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865"
                },
                {
                    "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"
                        },
                        {
                            "value": "5.3",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N"
                        },
                        {
                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:Y/T:P/P:M/B:A/M:M/D:T/2026-04-14T15:12:33Z/"
                        }
                    ],
                    "url": "https://cert.pl/en/posts/2026/04/CVE-2026-33865/"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow",
                    "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"
                        },
                        {
                            "value": "5.3",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow/commit/005b959cacda05d1423356cfcbd9ebeda8ff96a7",
                    "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"
                        },
                        {
                            "value": "5.3",
                            "scoring_system": "cvssv4",
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                    "is_vulnerable": false,
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                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:Y/T:P/P:M/B:A/M:M/D:T/2024-05-16T13:51:45Z/"
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            "summary": "Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the spark_udf() MLflow API is called.",
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                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:N/A:N/T:T/P:M/B:A/M:M/D:T/2024-11-25T14:23:17Z/"
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                            "value": "Track",
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                            "value": "Track",
                            "scoring_system": "ssvc",
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                    "reference_type": "",
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                        },
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                },
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                        },
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                },
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                    "scores": [],
                    "url": "https://github.com/advisories/GHSA-wxj7-3fx5-pp9m"
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                    "purl": "pkg:pypi/mlflow@2.22.2",
                    "is_vulnerable": true,
                    "affected_by_vulnerabilities": [
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                        },
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                },
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            ],
            "aliases": [
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                "CVE-2025-52967",
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                "PYSEC-2025-52"
            ],
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            "exploitability": "0.5",
            "weighted_severity": "0.0",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-xge2-eqq3-7bb9"
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    "fixing_vulnerabilities": [],
    "risk_score": "4.0",
    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.12.0"
}