Description

The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trust_remote_code=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.from_pretrained() to import and execute arbitrary Python files included in any model pulled from an OCI registry, resulting in arbitrary code execution on the Docker host as the Docker Desktop user when inference is triggered. Any container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model and request inference.

Type de vulnérabilité

• CWE-829

Vecteur d'attaque

Complexité : LOW

Privilèges requis : LOW

Interaction utilisateur : REQUIRED

Impact

• Confidentialité : HIGH
• Intégrité : HIGH
• Disponibilité : HIGH

Recommandations

Appliquer les correctifs de sécurité fournis par le vendeur dès que possible.