GitHub Advisoryadvisory · PyPI
GHSA-r23q-823p-vmf7 MLflow Command Injection vulnerability
CRITICAL
Official page ↗
- Aliases
- CVE-2025-15379
- Ecosystem
- PyPI
- Packages
- mlflow
- Severity
- Critical
- CVSS vector
- CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
- Weaknesses
- CWE-77
- Reviewed
- 2026-04-01
Affected packages
• PyPI mlflow: < 3.8.1 → fixed in 3.8.1
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 3.8.1.
Related
Alias · CVE (1)
- CVE-2025-15379 A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the… vulnerability
Weakness · CWE (1)
- CWE-77 Improper Neutralization of Special Elements used in a Command weakness
References
- https://nvd.nist.gov/vuln/detail/CVE-2025-15379 advisory
- https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e web
- https://github.com/mlflow/mlflow/commit/a22ce7157f646bdce4c95106fc38ccc9ca289205 web
- https://github.com/mlflow/mlflow package
- https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75 web