Vulnerability Description
MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 2.19.0 until 3.17.0, mlflow.crewai.autolog() records CrewAI Agent objects without consistently sanitizing nested credential-bearing values. mlflow/crewai/autolog.py::_get_agent_attributes() converts the Agent llm field to a string that includes the provider API key, while mlflow/crewai/autolog.py::_construct_full_inputs() expands the Agent object into mlflow.spanInputs. Applications can therefore send plaintext provider credentials to the MLflow trace backend or a configured OTLP destination, where trace readers can obtain them. This issue is fixed in version 3.17.0.
CVSS Score
MEDIUM
Related Weaknesses (CWE)
References
- https://github.com/mlflow/mlflow/commit/20927930d27f0072fcfeb7f024f24ad8c5e77c47
- https://github.com/mlflow/mlflow/pull/25845
- https://github.com/mlflow/mlflow/releases/tag/v3.17.0
- https://github.com/mlflow/mlflow/security/advisories/GHSA-j7qq-vr8c-xvw3
FAQ
What is CVE-2026-116691?
CVE-2026-116691 is a vulnerability with a CVSS score of 6.5 (MEDIUM). MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 2.19.0 until 3.17.0, mlflow.crewai.autolog() records CrewAI Agent objects without ...
How severe is CVE-2026-116691?
CVE-2026-116691 has been rated MEDIUM with a CVSS base score of 6.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-116691?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.