CVE-2026-5843— Docker Model Runner 安全漏洞

Docker Model Runner container-to-host code execution via MLX-LM model_file importlib loading

The MLX inference backend in Docker Model Runner on macOS uses the MLX-LM library, which unconditionally imports and executes arbitrary Python files from model directories via the model_file configuration field in config.json. When a model's config.json specifies a model_file pointing to a Python file, MLX-LM uses importlib to load and execute it with no trust_remote_code gate or equivalent safety check. The MLX backend runs without sandboxing, resulting in arbitrary code execution on the Docker host as the Docker Desktop user. Any container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model from an attacker-controlled OCI registry and request inference.

CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H

从非可信控制范围包含功能例程

Docker Model Runner 安全漏洞

Docker Model Runner是Docker开源的一个Docker模型运行器。 Docker Model Runner MLX存在安全漏洞，该漏洞源于无条件导入并执行模型目录中的任意Python文件，可能导致从攻击者控制的OCI注册表拉取恶意模型并请求推理时，在Docker主机上执行任意代码。

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