{"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"}}]}}