Summary
| Parameter | Value |
|---|---|
| CVE ID | CVE-2025-15379 |
| Alert Source | GitHub Advisory - Critical Vulnerability |
| CVE Publication Year | 2025 |
| Date Published | 2026-03-30 |
| Vendor | MLflow |
| Product | MLflow |
| CVSS Score | 10.0 (critical) |
| EPSS Score | No data |
| CISA KEV | No |
| Ransomware | Not confirmed |
Vulnerability 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 deplo…
Required Actions
Apply vendor patches or mitigations as soon as available.
Who Is Affected?
This vulnerability affects MLflow by MLflow. Check if your organization uses this software and requires updates.
Sources
Need help securing your systems? nFlo team offers vulnerability management and 24/7 SOC services. Contact us.
How can nFlo help?
If your organization uses products affected by this vulnerability, contact us. We can help with:
- Verifying whether your systems are at risk
- Implementing patches and risk mitigation
- Monitoring for exploitation attempts in your environment
Useful resources:
