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.
References
| Link | Resource |
|---|---|
| https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e | Patch |
| https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75 | Exploit Third Party Advisory |
| https://access.redhat.com/security/cve/CVE-2025-15379 | Third Party Advisory |
| https://bugzilla.redhat.com/show_bug.cgi?id=2452949 | Third Party Advisory |
| https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.json | Third Party Advisory |
Configurations
History
No history.
Information
Published : 2026-03-30 08:16
Updated : 2026-09-04 20:02
NVD link : CVE-2025-15379
Mitre link : CVE-2025-15379
CVE.ORG link : CVE-2025-15379
JSON object : View
Products Affected
lfprojects
- mlflow
