Lookup for vulnerable packages by Package URL.

GET /api/packages/39079?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "url": "http://public2.vulnerablecode.io/api/packages/39079?format=api",
    "purl": "pkg:pypi/mlflow@2.10.0",
    "type": "pypi",
    "namespace": "",
    "name": "mlflow",
    "version": "2.10.0",
    "qualifiers": {},
    "subpath": "",
    "is_vulnerable": true,
    "next_non_vulnerable_version": "3.11.0rc0",
    "latest_non_vulnerable_version": "3.11.0",
    "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"
                }
            ],
            "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/9127?format=api",
            "vulnerability_id": "VCID-njg8-d2r5-rfax",
            "summary": "A broken access control vulnerability exists in mlflow/mlflow versions before 2.10.1, where low privilege users with only EDIT permissions on an experiment can delete any artifacts. This issue arises due to the lack of proper validation for DELETE requests by users with EDIT permissions, allowing them to perform unauthorized deletions of artifacts. The vulnerability specifically affects the handling of artifact deletions within the application, as demonstrated by the ability of a low privilege user to delete a directory inside an artifact using a DELETE request, despite the official documentation stating that users with EDIT permission can only read and update artifacts, not delete them.",
            "references": [
                {
                    "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2024-4263",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "0.00062",
                            "scoring_system": "epss",
                            "scoring_elements": "0.19451",
                            "published_at": "2026-05-30T12:55:00Z"
                        }
                    ],
                    "url": "https://api.first.org/data/v1/epss?cve=CVE-2024-4263"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "5.4",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow/commit/b43e0e3de5b500554e13dc032ba2083b2d6c94b8",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "5.4",
                            "scoring_system": "cvssv3",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L"
                        },
                        {
                            "value": "5.4",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        },
                        {
                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2024-05-24T15:35:23Z/"
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow/commit/b43e0e3de5b500554e13dc032ba2083b2d6c94b8"
                },
                {
                    "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-51.yaml",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "5.4",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-51.yaml"
                },
                {
                    "reference_url": "https://huntr.com/bounties/bfa116d3-2af8-4c4a-ac34-ccde7491ae11",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "5.4",
                            "scoring_system": "cvssv3",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L"
                        },
                        {
                            "value": "5.4",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        },
                        {
                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:N/A:N/T:P/P:M/B:A/M:M/D:T/2024-05-24T15:35:23Z/"
                        }
                    ],
                    "url": "https://huntr.com/bounties/bfa116d3-2af8-4c4a-ac34-ccde7491ae11"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2024-4263",
                    "reference_id": "CVE-2024-4263",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "5.4",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L"
                        },
                        {
                            "value": "MODERATE",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-4263"
                },
                {
                    "reference_url": "https://github.com/advisories/GHSA-p4jx-q62p-x5jr",
                    "reference_id": "GHSA-p4jx-q62p-x5jr",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "MODERATE",
                            "scoring_system": "cvssv3.1_qr",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/advisories/GHSA-p4jx-q62p-x5jr"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/39925?format=api",
                    "purl": "pkg:pypi/mlflow@2.10.1",
                    "is_vulnerable": true,
                    "affected_by_vulnerabilities": [
                        {
                            "vulnerability": "VCID-96st-1wwr-4ken"
                        },
                        {
                            "vulnerability": "VCID-pugd-v7em-sbec"
                        },
                        {
                            "vulnerability": "VCID-qnyj-3qc7-p7bp"
                        },
                        {
                            "vulnerability": "VCID-r2kq-hqdf-6ugh"
                        },
                        {
                            "vulnerability": "VCID-r9df-3b7p-jfcy"
                        },
                        {
                            "vulnerability": "VCID-utmm-2j11-eyh6"
                        },
                        {
                            "vulnerability": "VCID-xge2-eqq3-7bb9"
                        }
                    ],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.10.1"
                }
            ],
            "aliases": [
                "BIT-mlflow-2024-4263",
                "CVE-2024-4263",
                "GHSA-p4jx-q62p-x5jr",
                "PYSEC-2024-51"
            ],
            "risk_score": 3.1,
            "exploitability": "0.5",
            "weighted_severity": "6.2",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-njg8-d2r5-rfax"
        },
        {
            "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/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"
                },
                {
                    "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"
                }
            ],
            "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",
                            "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/commit/005b959cacda05d1423356cfcbd9ebeda8ff96a7"
                },
                {
                    "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"
                        },
                        {
                            "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://github.com/mlflow/mlflow/pull/21708"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2026-33866",
                    "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://nvd.nist.gov/vuln/detail/CVE-2026-33866"
                }
            ],
            "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"
                }
            ],
            "aliases": [
                "BIT-mlflow-2026-33866",
                "CVE-2026-33866",
                "GHSA-46r5-x6jq-v8g6",
                "PYSEC-2026-94"
            ],
            "risk_score": 1.9,
            "exploitability": "0.5",
            "weighted_severity": "3.9",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-qnyj-3qc7-p7bp"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/9128?format=api",
            "vulnerability_id": "VCID-r2kq-hqdf-6ugh",
            "summary": "A path traversal vulnerability exists in mlflow/mlflow version 2.11.0, identified as a bypass for the previously addressed CVE-2023-6909. The vulnerability arises from the application's handling of artifact URLs, where a '#' character can be used to insert a path into the fragment, effectively skipping validation. This allows an attacker to construct a URL that, when processed, ignores the protocol scheme and uses the provided path for filesystem access. As a result, an attacker can read arbitrary files, including sensitive information such as SSH and cloud keys, by exploiting the way the application converts the URL into a filesystem path. The issue stems from insufficient validation of the fragment portion of the URL, leading to arbitrary file read through path traversal.",
            "references": [
                {
                    "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2024-3848",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "0.77074",
                            "scoring_system": "epss",
                            "scoring_elements": "0.98989",
                            "published_at": "2026-05-30T12:55:00Z"
                        }
                    ],
                    "url": "https://api.first.org/data/v1/epss?cve=CVE-2024-3848"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow/commit/f8d51e21523238280ebcfdb378612afd7844eca8",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
                        },
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
                        },
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
                        },
                        {
                            "value": "HIGH",
                            "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/2024-05-16T13:51:45Z/"
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow/commit/f8d51e21523238280ebcfdb378612afd7844eca8"
                },
                {
                    "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-244.yaml",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-244.yaml"
                },
                {
                    "reference_url": "https://huntr.com/bounties/8d5aadaa-522f-4839-b41b-d7da362dd610",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
                        },
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
                        },
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
                        },
                        {
                            "value": "HIGH",
                            "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/2024-05-16T13:51:45Z/"
                        }
                    ],
                    "url": "https://huntr.com/bounties/8d5aadaa-522f-4839-b41b-d7da362dd610"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2024-3848",
                    "reference_id": "CVE-2024-3848",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-3848"
                },
                {
                    "reference_url": "https://github.com/advisories/GHSA-rfqq-wq6w-72jm",
                    "reference_id": "GHSA-rfqq-wq6w-72jm",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "HIGH",
                            "scoring_system": "cvssv3.1_qr",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/advisories/GHSA-rfqq-wq6w-72jm"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/39933?format=api",
                    "purl": "pkg:pypi/mlflow@2.12.1",
                    "is_vulnerable": true,
                    "affected_by_vulnerabilities": [
                        {
                            "vulnerability": "VCID-96st-1wwr-4ken"
                        },
                        {
                            "vulnerability": "VCID-pugd-v7em-sbec"
                        },
                        {
                            "vulnerability": "VCID-qnyj-3qc7-p7bp"
                        },
                        {
                            "vulnerability": "VCID-r9df-3b7p-jfcy"
                        },
                        {
                            "vulnerability": "VCID-xge2-eqq3-7bb9"
                        }
                    ],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.12.1"
                }
            ],
            "aliases": [
                "BIT-mlflow-2024-3848",
                "CVE-2024-3848",
                "GHSA-rfqq-wq6w-72jm",
                "PYSEC-2024-244"
            ],
            "risk_score": 4.0,
            "exploitability": "0.5",
            "weighted_severity": "8.0",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-r2kq-hqdf-6ugh"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/9280?format=api",
            "vulnerability_id": "VCID-r9df-3b7p-jfcy",
            "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.",
            "references": [
                {
                    "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2024-27134",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "0.0003",
                            "scoring_system": "epss",
                            "scoring_elements": "0.09252",
                            "published_at": "2026-05-30T12:55:00Z"
                        }
                    ],
                    "url": "https://api.first.org/data/v1/epss?cve=CVE-2024-27134"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.0",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "7.3",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow/commit/0b1d995d66a678153e01ed3040f3f4dfc16a0d6b",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.0",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "7.3",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow/commit/0b1d995d66a678153e01ed3040f3f4dfc16a0d6b"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow/pull/10874",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "7.0",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "7.0",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "7.3",
                            "scoring_system": "cvssv4",
                            "scoring_elements": "CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"
                        },
                        {
                            "value": "HIGH",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        },
                        {
                            "value": "Track",
                            "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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                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932"
                },
                {
                    "reference_url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "9.6",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H"
                        },
                        {
                            "value": "Track",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:N/T:P/P:M/B:A/M:M/D:T/2024-02-27T15:45:19Z/"
                        }
                    ],
                    "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-dataset-xss-jfsa-2024-000631932/"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27133",
                    "reference_id": "CVE-2024-27133",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.6",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27133"
                },
                {
                    "reference_url": "https://github.com/advisories/GHSA-3v79-q7ph-j75h",
                    "reference_id": "GHSA-3v79-q7ph-j75h",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "CRITICAL",
                            "scoring_system": "cvssv3.1_qr",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/advisories/GHSA-3v79-q7ph-j75h"
                }
            ],
            "fixed_packages": [
                {
                    "url": "http://public2.vulnerablecode.io/api/packages/39079?format=api",
                    "purl": "pkg:pypi/mlflow@2.10.0",
                    "is_vulnerable": true,
                    "affected_by_vulnerabilities": [
                        {
                            "vulnerability": "VCID-96st-1wwr-4ken"
                        },
                        {
                            "vulnerability": "VCID-njg8-d2r5-rfax"
                        },
                        {
                            "vulnerability": "VCID-pugd-v7em-sbec"
                        },
                        {
                            "vulnerability": "VCID-qnyj-3qc7-p7bp"
                        },
                        {
                            "vulnerability": "VCID-r2kq-hqdf-6ugh"
                        },
                        {
                            "vulnerability": "VCID-r9df-3b7p-jfcy"
                        },
                        {
                            "vulnerability": "VCID-utmm-2j11-eyh6"
                        },
                        {
                            "vulnerability": "VCID-xge2-eqq3-7bb9"
                        }
                    ],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.10.0"
                }
            ],
            "aliases": [
                "BIT-mlflow-2024-27133",
                "CVE-2024-27133",
                "GHSA-3v79-q7ph-j75h",
                "PYSEC-2024-241"
            ],
            "risk_score": 4.5,
            "exploitability": "0.5",
            "weighted_severity": "9.0",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-5qe9-6ecs-syek"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/9070?format=api",
            "vulnerability_id": "VCID-6x4v-udkg-z3es",
            "summary": "Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.\n\nThis issue leads to a client-side RCE when running an untrusted recipe in Jupyter Notebook.\n\nThe vulnerability stems from lack of sanitization over template variables.",
            "references": [
                {
                    "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2024-27132",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "0.00243",
                            "scoring_system": "epss",
                            "scoring_elements": "0.47668",
                            "published_at": "2026-05-30T12:55:00Z"
                        }
                    ],
                    "url": "https://api.first.org/data/v1/epss?cve=CVE-2024-27132"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.6",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow/pull/10873",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "9.6",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        },
                        {
                            "value": "Track*",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2024-08-14T15:25:41Z/"
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow/pull/10873"
                },
                {
                    "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-240.yaml",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.6",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-240.yaml"
                },
                {
                    "reference_url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.6",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930"
                },
                {
                    "reference_url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "7.5",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H"
                        },
                        {
                            "value": "9.6",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H"
                        },
                        {
                            "value": "Track*",
                            "scoring_system": "ssvc",
                            "scoring_elements": "SSVCv2/E:P/A:N/T:T/P:M/B:A/M:M/D:R/2024-08-14T15:25:41Z/"
                        }
                    ],
                    "url": "https://research.jfrog.com/vulnerabilities/mlflow-untrusted-recipe-xss-jfsa-2024-000631930/"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27132",
                    "reference_id": "CVE-2024-27132",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.6",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-27132"
                },
                {
                    "reference_url": "https://github.com/advisories/GHSA-6749-m5cp-6cg7",
                    "reference_id": "GHSA-6749-m5cp-6cg7",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "CRITICAL",
                            "scoring_system": "cvssv3.1_qr",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/advisories/GHSA-6749-m5cp-6cg7"
                }
            ],
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                {
                    "url": "http://public2.vulnerablecode.io/api/packages/39079?format=api",
                    "purl": "pkg:pypi/mlflow@2.10.0",
                    "is_vulnerable": true,
                    "affected_by_vulnerabilities": [
                        {
                            "vulnerability": "VCID-96st-1wwr-4ken"
                        },
                        {
                            "vulnerability": "VCID-njg8-d2r5-rfax"
                        },
                        {
                            "vulnerability": "VCID-pugd-v7em-sbec"
                        },
                        {
                            "vulnerability": "VCID-qnyj-3qc7-p7bp"
                        },
                        {
                            "vulnerability": "VCID-r2kq-hqdf-6ugh"
                        },
                        {
                            "vulnerability": "VCID-r9df-3b7p-jfcy"
                        },
                        {
                            "vulnerability": "VCID-utmm-2j11-eyh6"
                        },
                        {
                            "vulnerability": "VCID-xge2-eqq3-7bb9"
                        }
                    ],
                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.10.0"
                }
            ],
            "aliases": [
                "BIT-mlflow-2024-27132",
                "CVE-2024-27132",
                "GHSA-6749-m5cp-6cg7",
                "PYSEC-2024-240"
            ],
            "risk_score": 4.5,
            "exploitability": "0.5",
            "weighted_severity": "9.0",
            "resource_url": "http://public2.vulnerablecode.io/vulnerabilities/VCID-6x4v-udkg-z3es"
        },
        {
            "url": "http://public2.vulnerablecode.io/api/vulnerabilities/9098?format=api",
            "vulnerability_id": "VCID-gr3d-61ds-j7ej",
            "summary": "mlflow/mlflow is vulnerable to Local File Inclusion (LFI) due to improper parsing of URIs, allowing attackers to bypass checks and read arbitrary files on the system. The issue arises from the 'is_local_uri' function's failure to properly handle URIs with empty or 'file' schemes, leading to the misclassification of URIs as non-local. Attackers can exploit this by crafting malicious model versions with specially crafted 'source' parameters, enabling the reading of sensitive files within at least two directory levels from the server's root.",
            "references": [
                {
                    "reference_url": "https://api.first.org/data/v1/epss?cve=CVE-2024-3573",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "0.00199",
                            "scoring_system": "epss",
                            "scoring_elements": "0.41831",
                            "published_at": "2026-05-30T12:55:00Z"
                        }
                    ],
                    "url": "https://api.first.org/data/v1/epss?cve=CVE-2024-3573"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.3",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow"
                },
                {
                    "reference_url": "https://github.com/mlflow/mlflow/commit/438a450714a3ca06285eeea34bdc6cf79d7f6cbc",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.3",
                            "scoring_system": "cvssv3",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N"
                        },
                        {
                            "value": "9.3",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N"
                        },
                        {
                            "value": "9.3",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N"
                        },
                        {
                            "value": "CRITICAL",
                            "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/2024-06-17T19:40:10Z/"
                        }
                    ],
                    "url": "https://github.com/mlflow/mlflow/commit/438a450714a3ca06285eeea34bdc6cf79d7f6cbc"
                },
                {
                    "reference_url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-243.yaml",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.3",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://github.com/pypa/advisory-database/tree/main/vulns/mlflow/PYSEC-2024-243.yaml"
                },
                {
                    "reference_url": "https://huntr.com/bounties/8ea058a7-4ef8-4baf-9198-bc0147fc543c",
                    "reference_id": "",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.3",
                            "scoring_system": "cvssv3",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N"
                        },
                        {
                            "value": "9.3",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N"
                        },
                        {
                            "value": "9.3",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N"
                        },
                        {
                            "value": "CRITICAL",
                            "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/2024-06-17T19:40:10Z/"
                        }
                    ],
                    "url": "https://huntr.com/bounties/8ea058a7-4ef8-4baf-9198-bc0147fc543c"
                },
                {
                    "reference_url": "https://nvd.nist.gov/vuln/detail/CVE-2024-3573",
                    "reference_id": "CVE-2024-3573",
                    "reference_type": "",
                    "scores": [
                        {
                            "value": "9.3",
                            "scoring_system": "cvssv3.1",
                            "scoring_elements": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N"
                        },
                        {
                            "value": "CRITICAL",
                            "scoring_system": "generic_textual",
                            "scoring_elements": ""
                        }
                    ],
                    "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-3573"
                },
                {
                    "reference_url": "https://github.com/advisories/GHSA-hq88-wg7q-gp4g",
                    "reference_id": "GHSA-hq88-wg7q-gp4g",
                    "reference_type": "",
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                            "scoring_system": "cvssv3.1_qr",
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                    ],
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                    "is_vulnerable": true,
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                        },
                        {
                            "vulnerability": "VCID-njg8-d2r5-rfax"
                        },
                        {
                            "vulnerability": "VCID-pugd-v7em-sbec"
                        },
                        {
                            "vulnerability": "VCID-qnyj-3qc7-p7bp"
                        },
                        {
                            "vulnerability": "VCID-r2kq-hqdf-6ugh"
                        },
                        {
                            "vulnerability": "VCID-r9df-3b7p-jfcy"
                        },
                        {
                            "vulnerability": "VCID-utmm-2j11-eyh6"
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                        {
                            "vulnerability": "VCID-xge2-eqq3-7bb9"
                        }
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                    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.10.0"
                }
            ],
            "aliases": [
                "BIT-mlflow-2024-3573",
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            ],
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        }
    ],
    "risk_score": "10.0",
    "resource_url": "http://public2.vulnerablecode.io/packages/pkg:pypi/mlflow@2.10.0"
}