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MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source

Type: advisorySources: Official CVE List

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.

Products
mlflow
Affected versions
Not specified
Fixed versions
Not specified
CVEs
CVE-2026-116690
Confirmed fixed CVEs
Not specified
Updated in this feed
1 Nov 2026, 17:17 UTC · Revision 1

Source evidence

MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source

core-cve · Original source

Published 27 Oct 2026, 19:42 UTC

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.

cve:CVE-2026-116690

mlflow

Fixed versions: Not specified

Complete source record
{
  "id": "00202f2433c76e7e33263d4c6af1704d9349027acf8dd67eb7ca6dd3032c4e2b",
  "url": "https://www.cve.org/CVERecord?id=CVE-2026-116690",
  "method": "structured",
  "payload": {
    "kind": "advisory",
    "title": "MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source",
    "summary": "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.",
    "evidence": "cve:CVE-2026-116690",
    "products": [
      {
        "name": {
          "value": "mlflow",
          "evidence": "/containers/cna/affected/0/product"
        },
        "prerequisites": [],
        "fixed_versions": [],
        "affected_versions": []
      }
    ],
    "severity": "high",
    "structured": {
      "id": "CVE-2026-116690",
      "aliases": [
        "CVE-2026-116690"
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "scope": "UNCHANGED",
            "version": "3.1",
            "baseScore": 7.5,
            "attackVector": "NETWORK",
            "baseSeverity": "HIGH",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
            "integrityImpact": "NONE",
            "userInteraction": "NONE",
            "attackComplexity": "LOW",
            "availabilityImpact": "NONE",
            "privilegesRequired": "NONE",
            "confidentialityImpact": "HIGH"
          }
        }
      ],
      "affected": [
        {
          "vendor": "mlflow",
          "product": "mlflow",
          "versions": [
            {
              "status": "affected",
              "version": ">= 3.10.0, < 3.17.0"
            }
          ]
        }
      ],
      "modified": "2026-10-28T16:13:38.096Z",
      "provider": "cve",
      "references": [
        "https://github.com/mlflow/mlflow/security/advisories/GHSA-m65p-9j7q-6w33",
        "https://github.com/mlflow/mlflow/pull/25870",
        "https://github.com/mlflow/mlflow/commit/81730a2ce4ebcd60d5d18f68c96f422ad7e30772",
        "https://github.com/mlflow/mlflow/releases/tag/v3.17.0"
      ],
      "provider_metadata": {
        "adp": [
          {
            "title": "CISA ADP Vulnrichment",
            "metrics": [
              {
                "other": {
                  "type": "ssvc",
                  "content": {
                    "id": "CVE-2026-116690",
                    "role": "CISA Coordinator",
                    "options": [
                      {
                        "Exploitation": "none"
                      },
                      {
                        "Automatable": "yes"
                      },
                      {
                        "Technical Impact": "partial"
                      }
                    ],
                    "version": "2.0.3",
                    "timestamp": "2026-10-28T15:54:25.087287Z"
                  }
                }
              }
            ],
            "providerMetadata": {
              "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
              "shortName": "CISA-ADP",
              "dateUpdated": "2026-10-28T16:13:38.096Z"
            }
          }
        ],
        "cna": {
          "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
          "shortName": "GitHub_M",
          "dateUpdated": "2026-10-27T19:42:35.798Z"
        }
      }
    },
    "related_cves": [
      {
        "value": "CVE-2026-116690",
        "evidence": "/cveMetadata/cveId"
      }
    ],
    "security_relevant": true,
    "severity_evidence": "/containers/cna/metrics"
  },
  "source_id": "core-cve",
  "document_id": 460241,
  "published_at": "2026-10-27T19:42:35.798+00:00"
}