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Vulnerabilities

CVE-2026-116691 | BDVDB-2026-396439 Detail

mlflowmlflow

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.

Impact#

Per CVSS v3.1: confidentiality impact high, integrity impact none, availability impact none. Attack vector: network.

Weaknesses#

  • CWE-200 Exposure of Sensitive Information to an Unauthorized Actor
  • CWE-312 Cleartext Storage of Sensitive Information
  • CWE-532 Insertion of Sensitive Information into Log File

References#

Exploit#

No public exploit known

History#

  1. Version 1Record published in the CVE List.
  2. Version 2Most recent update recorded in the CVE List.