MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source
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-m65p-9j7q-6w33 | MLflow vulnerable to arbitrary file read on unauthenticated servers via prompt model version source |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: 1.8% (1.801% probability within 30 days)
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threat_severity
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threat_severity
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ssvc
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| First Time appeared |
Mlflow
Mlflow mlflow |
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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 3.10.0 until 3.17.0, the prompt branch in _create_model_version() accepts schemeless relative sources because path validation runs only when a source has a URL scheme, and mlflow.prompt.is_prompt is interpreted by tag presence rather than a true value. A remote caller can store a server-local path as the model version artifact location and use /api/2.0/mlflow/model-versions/get-artifact to read files accessible to the MLflow server process. Default unauthenticated servers require no privileges, while basic-auth deployments are exposed to authenticated users who can create registered models. This issue is fixed in version 3.17.0. | |
| Title | MLflow: Arbitrary file read on unauthenticated MLflow servers via prompt model version source | |
| Weaknesses | CWE-22 | |
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| Metrics |
cvssV3_1
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