CVE-2025-15379CRITICAL 9.8EPSS p81.5%
CVE-2025-15379CVE-2025-15379
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.
Scoring
| CVSS 3.1 | 9.8 (CRITICAL) |
| Vector | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |
| EPSS | 2.36% probability of exploitation · percentile 81.5% · 2026-06-18T12:00:27Z |
| Published | 2026-03-30 |
| Last modified | 2026-04-28 |
Underlying weaknesses· 1
References
1
| Type | Target | Confidence | Tier |
|---|---|---|---|
| Weakness | Improper Neutralization of Special Elements used in a Command ('Command Injection')cwe-77 | 0% | live |
Related by meaning· 6
Nearest entities by semantic similarity across the cs-graph corpus.