{
    "dataType": "CVE_RECORD",
    "dataVersion": "5.2",
    "cveMetadata": {
        "cveId": "CVE-2026-116690",
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "state": "PUBLISHED",
        "assignerShortName": "GitHub_M",
        "dateReserved": "2026-10-26T20:00:59.830Z",
        "datePublished": "2026-10-27T19:42:35.798Z",
        "dateUpdated": "2026-10-28T16:13:38.096Z"
    },
    "containers": {
        "cna": {
            "title": "MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source",
            "problemTypes": [
                {
                    "descriptions": [
                        {
                            "cweId": "CWE-22",
                            "lang": "en",
                            "description": "CWE-22: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')",
                            "type": "CWE"
                        }
                    ]
                }
            ],
            "metrics": [
                {
                    "cvssV3_1": {
                        "attackComplexity": "LOW",
                        "attackVector": "NETWORK",
                        "availabilityImpact": "NONE",
                        "baseScore": 7.5,
                        "baseSeverity": "HIGH",
                        "confidentialityImpact": "HIGH",
                        "integrityImpact": "NONE",
                        "privilegesRequired": "NONE",
                        "scope": "UNCHANGED",
                        "userInteraction": "NONE",
                        "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
                        "version": "3.1"
                    }
                }
            ],
            "references": [
                {
                    "name": "https://github.com/mlflow/mlflow/security/advisories/GHSA-m65p-9j7q-6w33",
                    "tags": [
                        "x_refsource_CONFIRM"
                    ],
                    "url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-m65p-9j7q-6w33"
                },
                {
                    "name": "https://github.com/mlflow/mlflow/pull/25870",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/mlflow/mlflow/pull/25870"
                },
                {
                    "name": "https://github.com/mlflow/mlflow/commit/81730a2ce4ebcd60d5d18f68c96f422ad7e30772",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/mlflow/mlflow/commit/81730a2ce4ebcd60d5d18f68c96f422ad7e30772"
                },
                {
                    "name": "https://github.com/mlflow/mlflow/releases/tag/v3.17.0",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/mlflow/mlflow/releases/tag/v3.17.0"
                }
            ],
            "affected": [
                {
                    "vendor": "mlflow",
                    "product": "mlflow",
                    "versions": [
                        {
                            "version": ">= 3.10.0, < 3.17.0",
                            "status": "affected"
                        }
                    ]
                }
            ],
            "providerMetadata": {
                "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
                "shortName": "GitHub_M",
                "dateUpdated": "2026-10-27T19:42:35.798Z"
            },
            "descriptions": [
                {
                    "lang": "en",
                    "value": "MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.10.0 until 3.17.0, the prompt branch in _create_model_version() accepts schemeless relative sources because path validation runs only when a source has a URL scheme, and mlflow.prompt.is_prompt is interpreted by tag presence rather than a true value. A remote caller can store a server-local path as the model version artifact location and use /api/2.0/mlflow/model-versions/get-artifact to read files accessible to the MLflow server process. Default unauthenticated servers require no privileges, while basic-auth deployments are exposed to authenticated users who can create registered models. This issue is fixed in version 3.17.0."
                }
            ],
            "source": {
                "advisory": "GHSA-m65p-9j7q-6w33",
                "discovery": "UNKNOWN"
            }
        },
        "adp": [
            {
                "metrics": [
                    {
                        "other": {
                            "type": "ssvc",
                            "content": {
                                "timestamp": "2026-10-28T15:54:25.087287Z",
                                "id": "CVE-2026-116690",
                                "options": [
                                    {
                                        "Exploitation": "none"
                                    },
                                    {
                                        "Automatable": "yes"
                                    },
                                    {
                                        "Technical Impact": "partial"
                                    }
                                ],
                                "role": "CISA Coordinator",
                                "version": "2.0.3"
                            }
                        }
                    }
                ],
                "title": "CISA ADP Vulnrichment",
                "providerMetadata": {
                    "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
                    "shortName": "CISA-ADP",
                    "dateUpdated": "2026-10-28T16:13:38.096Z"
                }
            }
        ]
    }
}