CVE-2025-15379

Summary

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.

Affected Software

Weaknesses

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

ADP Enrichment

CISA ADP Vulnrichment

• SSVC:
• Exploitation: poc
  • Automatable: yes
  • Technical Impact: total

mlflow: MLflow: Arbitrary command execution via command injection in model serving container initialization.

Additional References

• https://access.redhat.com/security/cve/CVE-2025-15379
• https://bugzilla.redhat.com/show_bug.cgi?id=2452949
• https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-15379.json

References

• https://huntr.com/bounties/dc9c1c20-7879-4050-87df-4d095fe5ca75
• https://github.com/mlflow/mlflow/commit/361b6f620adf98385c6721e384fb5ef9a30bb05e

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