MLflow CrewAI autologging records LLM provider API keys in logged trace spans
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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| mlflow | mlflow | affected |
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| Mlflow | Mlflow |
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| Source | ID | Title |
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Github GHSA |
GHSA-j7qq-vr8c-xvw3 | MLflow CrewAI autologging records LLM provider API keys in logged trace spans |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.207% probability within 30 days)
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| Weaknesses | CWE-201 | |
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| Metrics |
threat_severity
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threat_severity
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| Metrics |
ssvc
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| First Time appeared |
Mlflow
Mlflow mlflow |
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| Vendors & Products |
Mlflow
Mlflow mlflow |
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| 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. | |
| Title | MLflow CrewAI autologging records LLM provider API keys in logged trace spans | |
| Weaknesses | CWE-200 CWE-312 CWE-532 |
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| References |
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| Metrics |
cvssV3_1
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