Bug 2452949 (CVE-2025-15379)

Summary: CVE-2025-15379 mlflow: MLflow: Arbitrary command execution via command injection in model serving container initialization.
Product: [Other] Security Response Reporter: OSIDB Bzimport <bzimport>
Component: vulnerabilityAssignee: Product Security DevOps Team <prodsec-dev>
Status: NEW --- QA Contact:
Severity: high Docs Contact:
Priority: high    
Version: unspecifiedCC: jkoehler, lphiri
Target Milestone: ---Keywords: Security
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Hardware: All   
OS: Linux   
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A flaw was found in MLflow. When deploying a model with `env_manager=LOCAL`, MLflow's model serving container initialization code, specifically the `_install_model_dependencies_to_env()` function, reads dependency specifications from the model artifact's `python_env.yaml` file. An attacker can supply a malicious model artifact, leading to command injection as these specifications are directly interpolated into a shell command without proper sanitization. This allows for arbitrary command execution on systems deploying the malicious model.
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oVirt Team: --- RHEL 7.3 requirements from Atomic Host:
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Description OSIDB Bzimport 2026-03-30 08:01:39 UTC 
A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.