Medium severity · published Oct 27, 2026
CVE-2026-116691
MLflow CrewAI autologging records LLM provider API keys in logged trace spans
New
6.5
CVSS
–
EPSS
No
On KEV
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 vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
Attack vector
Network
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
High
Integrity
None
Availability
None
Scope
Unchanged
Exploitation
Is it being used?
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
ML
mlflow · mlflow
>= 2.19.0, < 3.17.0 · source: vendor
Affected product
ML
mlflow
mlflow
More from mlflow
9.3
CVE-2026-64849
MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)
9.8
CVE-2026-116692
MLflow: Remote code execution on unauthenticated MLflow servers via third-party scorer deserialization importing caller-placed artifact modules
8.8
CVE-2026-96804
No description published yet
8.8
CVE-2026-96775
MLflow dspy bypasses pickle deserialization control
8.8
CVE-2026-13484
MLflow Experiment-scoped Label Schema CRUD API authorization