Vulnerability · Published May 22, 2026 · Assigned by Docker
CVE-2026-5817Docker Model Runner container-to-host code execution via unsandboxed trust_remote_code in Python inference backends
High 8.2
In plain English
A high-severity security flaw in Docker Desktop from Docker. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 13% of all known vulnerabilities). Ready-made attack tooling exists: public proof-of-concept code.
Official 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.
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| Docker | Docker Desktop | 4.62.0 – before 4.68.0 |
Weakness: CWE-829 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H
References
- https://docs.docker.com/desktop/release-notes/#4680 release-notes