CVE-2026-5817

EUVD-2026-31493
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.
ProviderTypeBase ScoreAtk. VectorAtk. ComplexityPriv. RequiredVector
DockerCNA
8.2 HIGH
LOCAL
LOW
LOW
CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H
Base Score
CVSS 3.x
EPSS Score
Percentile: 13%
Affected Products (NVD)
VendorProductVersion
dockerdocker_desktop
4.62.0 ≤
𝑥
< 4.68.0
𝑥
= Vulnerable software versions
Early Detection
Affected products identified ahead of NVD analysis through intelligence sources.
VendorProductVersionSource
dockerdesktop
4.62.0 ≤
𝑥
< 4.68.0
CNA