MEDIUM 6.5 NVD
CVE-2026-116691
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
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.
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
This medium severity vulnerability with a CVSS score of 6.5 was published on 2026-10-27 via NVD.
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