CVE-2025-15379
Command Injection in mlflow/mlflow
- State
- Published
- Severity
- 10.0 Critical
- Published
- Mar 30, 2026
- Updated
- Sep 7, 2026
- Reserved
- Dec 30, 2025
Description
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.
Scores
| CVSS | Score | Vector | Source |
|---|---|---|---|
| 3.0 | 10.0 Critical | CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H | @huntr_ai |
| 3.1 | 9.0 Critical | CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H | redhat-SADP |
Weaknesses
Affected Products
| Product | Versions |
|---|---|
mlflow/mlflowmlflow |
|
References
- https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75
- https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e
- https://access.redhat.com/security/cve/CVE-2025-15379vdb-entry
- RHBZ#2452949issue-tracking
- https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.json
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