CVE-2025-15379
critical · 10A 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.
10
CVSS
2.4%
EPSS (exploit prob.)
83rd
EPSS percentile
2026-03-30
Published
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
Weaknesses
CWE-77CWE-78
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| lfprojects | mlflow | >= 3.8.0, < 3.8.1 |
Check a specific version with /api/v1/cve/match.
References
- https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e
- https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75
- https://access.redhat.com/security/cve/CVE-2025-15379
- https://bugzilla.redhat.com/show_bug.cgi?id=2452949
- https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.json
Query this programmatically:
curl https://evil-db.io/api/v1/cve/CVE-2025-15379