CVE-2026-116692 (GCVE-0-2026-116692)
Vulnerability from cvelistv5
Published
2026-10-27 20:03
Modified
2026-10-27 20:03
Severity ?
CWE
  • CWE-94 - Improper Control of Generation of Code ('Code Injection')
  • CWE-470 - Use of Externally-Controlled Input to Select Classes or Code ('Unsafe Reflection')
Summary
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, third-party scorer deserialization in mlflow/genai/scorers/base.py accepts request-selected descendants of THIRD_PARTY_SCORER_ALLOWED_MODULES rather than requiring an exact allowed module. A caller can use MLflow artifact endpoints to place a Python module beneath a writable allowed package and submit its module and class through /ajax-api/3.0/mlflow/scorer/invoke. Scorer.model_validate_json() imports the module and constructs the class before trace processing. Authentication-disabled deployments permit this code execution without credentials, while basic-auth deployments require a principal capable of creating an experiment and run and uploading artifacts. In either configuration, the allowed scorer package must be writable by the server process. This issue is fixed in version 3.17.0.
Impacted products
Vendor Product Version
mlflow mlflow Version: >= 3.12.0rc0, < 3.17.0
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Show details on NVD website


{
  "containers": {
    "cna": {
      "affected": [
        {
          "product": "mlflow",
          "vendor": "mlflow",
          "versions": [
            {
              "status": "affected",
              "version": "\u003e= 3.12.0rc0, \u003c 3.17.0"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.12.0rc0 until 3.17.0, third-party scorer deserialization in mlflow/genai/scorers/base.py accepts request-selected descendants of THIRD_PARTY_SCORER_ALLOWED_MODULES rather than requiring an exact allowed module. A caller can use MLflow artifact endpoints to place a Python module beneath a writable allowed package and submit its module and class through /ajax-api/3.0/mlflow/scorer/invoke. Scorer.model_validate_json() imports the module and constructs the class before trace processing. Authentication-disabled deployments permit this code execution without credentials, while basic-auth deployments require a principal capable of creating an experiment and run and uploading artifacts. In either configuration, the allowed scorer package must be writable by the server process. This issue is fixed in version 3.17.0."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.8,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-94",
              "description": "CWE-94: Improper Control of Generation of Code (\u0027Code Injection\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        },
        {
          "descriptions": [
            {
              "cweId": "CWE-470",
              "description": "CWE-470: Use of Externally-Controlled Input to Select Classes or Code (\u0027Unsafe Reflection\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-10-27T20:03:49.661Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/mlflow/mlflow/security/advisories/GHSA-26p8-2jq9-3vq9",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/mlflow/mlflow/security/advisories/GHSA-26p8-2jq9-3vq9"
        },
        {
          "name": "https://github.com/mlflow/mlflow/pull/25906",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/mlflow/mlflow/pull/25906"
        },
        {
          "name": "https://github.com/mlflow/mlflow/commit/a732443e695c3c677680c54320efc394c81654ab",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/mlflow/mlflow/commit/a732443e695c3c677680c54320efc394c81654ab"
        },
        {
          "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"
        }
      ],
      "source": {
        "advisory": "GHSA-26p8-2jq9-3vq9",
        "discovery": "UNKNOWN"
      },
      "title": "MLflow: Remote code execution on unauthenticated MLflow servers via third-party scorer deserialization importing caller-placed artifact modules"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-116692",
    "datePublished": "2026-10-27T20:03:49.661Z",
    "dateReserved": "2026-10-26T20:00:59.830Z",
    "dateUpdated": "2026-10-27T20:03:49.661Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}


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