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Vulnerabilities

CVE-2025-15379 | BDVDB-2026-323637 Detail

mlflowmlflow/mlflow

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.

Impact#

Per CVSS v3.1: confidentiality impact high, integrity impact high, availability impact high. Attack vector: network.

Weaknesses#

  • CWE-77 Improper Neutralization of Special Elements used in a Command ('Command Injection')
  • CWE-78 Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')

References#

Exploit#

No public exploit known

History#

  1. Version 1Record published in the CVE List.
  2. Version 2Most recent update recorded in the CVE List.