| Component | MLflow |
| Severity | critical (CVSS 10) |
| CVSS vector | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H |
| Published (NVD) | 2026-03-30 |
| Last modified | 2026-09-04 |
| Affected versions | mlflow >= 3.8.0, < 3.8.1 |
| Fixed in | 3.8.1 |
| Weakness | CWE-77CWE-78 |
| CISA KEV | not listed |
NVD 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.
What to do
- Upgrade MLflow to
3.8.1or later. - Do not expose the component's API or UI to the internet without authentication in front of it.
Sources
- NVD: CVE-2025-15379
- 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
Read more
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