CVE-2025-15379Lfprojects · Mlflow
Vulnerability data via NVD (ingested)
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.
External references
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Shodan + Censys queries derived from NVD's CPE data. The vuln tag catches assets Shodan has explicitly linked to this CVE; the product / banner fingerprints find exposed instances even when the vuln tag was never applied (which is common).
vuln:CVE-2025-15379product:"Lfprojects Mlflow"http.html:"Mlflow"More intel sources (5)
vuln:CVE-2025-15379vulnerabilities.cve_id: CVE-2025-15379CVE-2025-15379CVE-2025-15379"CVE-2025-15379" exploit -site:nvd.nist.gov