Information disclosure in Mlflow
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() 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.
Vulnerability class: Information Disclosure
Published .
CVSS v3 metric
CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N.
EPSS exploit prediction
No EPSS score from FIRST.org yet. New CVEs usually get one within a few days; no score means no signal yet, not low risk. How EPSS works.
Affected products
- Mlflow — versions >= 2.19.0, < 3.17.0
Weakness classification (CWE)
References
Frequently asked questions
- What is CVE-2026-116691?
- CVE-2026-116691 is a medium-severity vulnerability in Mlflow, classified under Information Disclosure. CVSS score: 6.5/10. Published 2026-10-27.
- How severe is CVE-2026-116691?
- Medium severity. CVSS v3 base score is 6.5 out of 10.