# CVE-2025-15379

## Summary

- **CVE ID:** CVE-2025-15379
- **Severity:** CRITICAL
- **CVSS Score:** 10 (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H)
- **CWE:** CWE-77
- **Published:** Mar 30, 2026
- **Last Modified:** Sep 7, 2026

## 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.

## Affected Products

- mlflow — mlflow/mlflow (unspecified)

## References

- [CNA](https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75)
- [CNA](https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e)
- [redhat-SADP](https://access.redhat.com/security/cve/CVE-2025-15379)
- [redhat-SADP](https://bugzilla.redhat.com/show_bug.cgi?id=2452949)
- [redhat-SADP](https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.json)

## Exploitation Prediction (EPSS)

- **EPSS Score:** 2.39%
- **EPSS Percentile:** 83.1

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_Exported from OnDuty AI Vulnerability Intelligence on 2026-09-18._