Findings

CVE-2025-15379

A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the function.

Published Mar 30, 2026 · updated Sep 4, 2026 · lfprojects mlflow

A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the function. When deploying a model with , MLflow reads dependency specifications from the model artifact's 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.

Code

The project this record applies to. Exploit listings stay in References.

Timeline

Detection, updates, and resolution for this record.

  1. Mar 30, 2026 · NIST NVD

    Detected

    A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the function. When deploying a model with , MLflow reads dependency specifications from the model artifact's 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 executi

  2. Sep 4, 2026 · NIST NVD

    Updated

    A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the function. When deploying a model with , MLflow reads dependency specifications from the model artifact's 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 executi

Affected

  • cpe lfprojects/mlflowversion unspecified

Sources

  • CVE.orgVulnerability recordCVE-2025-15379

    Official CVE identifier

    cve.org
  • NIST NVDVulnerability recordCVE-2025-15379

    A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the function. When deploying a model with , MLflow reads dependency specifications from the model artifact's

    nvd.nist.gov

References

CVE-2025-15379 · ZeroDay Findings