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6.5 Medium

CVE-2026-116691 MLflow is an open source AI engineering platform for agents, large language models, and machine learning models

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.

Affected products and versions

Product Affected versions Fixed in
MLflow 2.19 2.19.0 → < 3.17.0 3.17.0

References

Timeline

  1. Published
  2. Last modified

Other CVEs of MLflow

The 38 CVEs of MLflow →
CVE-2026-118628 MLflow get-artifacts Server-Side Request Forgery Information Disclosure Vulnerability 8.2 High CVE-2026-118627 MLflow SHAP load_explainer Deserialization of Untrusted Data Remote Code Execution Vulnerability 7.8 High CVE-2026-118626 MLflow Tracking Server Issues Missing Authorization Privilege Escalation Vulnerability 5.4 Medium CVE-2026-118625 MLflow Tracking Server Missing Authorization Privilege Escalation Vulnerability 6.3 Medium
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