VULNERABILITY INTELLIGENCE

CVE-2026-5817

CVSS score8.8 HIGH
EPSS probability0.22%
CISA KEVNot currently listed
Published2026-05-22
Last modified2026-07-23
CVSS vectorCVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H

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.

Weakness classification

  • CWE-829: Inclusion of Functionality from Untrusted Control Sphere

Primary references