CVE-2026-116692

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.

CVSS v3 9.8 CRITICAL

9.8^/10

CVSS v3 : CRITICAL

Vector :

Exploitability : 3.9 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction NONE

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/mlflow/mlflow/commit/a732443e695c3c677680c54320efc394c81654ab
https://github.com/mlflow/mlflow/pull/25906
https://github.com/mlflow/mlflow/releases/tag/v3.17.0
https://github.com/mlflow/mlflow/security/advisories/GHSA-26p8-2jq9-3vq9

Configurations

No configuration.

History

27 Oct 2026, 21:18

Type	Values Removed	Values Added
New CVE

Information

Published : 2026-10-27 21:18

Updated : 2026-10-28 15:21

NVD link : CVE-2026-116692

Mitre link : CVE-2026-116692

CVE.ORG link : CVE-2026-116692

JSON object : View

Products Affected

No product.

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')

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