What’s Vulnerable › Vulnerabilities

CVE-2025-15379: Command Injection in mlflow/mlflow

• Severity: critical (CVSS 10.0 v3.1)
• Exploited in the wild: not listed in CISA KEV
• EPSS: 2.4% probability of exploitation in the next 30 days
• Public exploit or detection template: yes
• Published: 2026-03-30 · updated 2026-09-04
• Weakness: CWE-77

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: from 3.8.0 before 3.8.1 — fixed in 3.8.1

How to fix

Upgrade to a fixed version: mlflow/mlflow 3.8.1. Check the vendor advisory for mitigations.

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

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