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CVE-2026-5817: Docker Model Runner container-to-host code execution via unsandboxed trust_remote_code in Python inference backends

High · CVSS 8.2 (CVSS 3.1)EPSS 0.22%, 13th percentilePublished Updated Assigner: Docker

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.

Vector CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H · CWE-829

Tracked companies

Docker

Mapped from the CVE’s affected-product data, NVD CPE matches, vendor advisories or package feeds. A mapping means the vendor’s software is named, not that its hosted service was exposed.

Status incidents that name it

No tracked status incident names this CVE.

Affected vendors and products

Docker: Docker Desktop

References

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