VULNERABILITY INTELLIGENCE
CVE-2025-15379
CVSS score10 CRITICAL
EPSS probability2.40%
CISA KEVNot currently listed
Published2026-03-30
Last modified2026-09-04
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
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.
Weakness classification
- security@huntr.dev: CWE-77
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c: CWE-78
Primary references
- security@huntr.dev — Patch
- security@huntr.dev — Exploit, Third Party Advisory
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c — Third Party Advisory
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c — Third Party Advisory
- 0b0ca135-0b70-47e7-9f44-1890c2a1c46c — Third Party Advisory