CVE-2026-5817-PoC

CVE-2026-5817: Docker Model Runner container-to-host RCE / Escape Any container on a Docker Desktop 4.40.0 to 4.67.x host can run code on the host with two HTTP requests. No socket mount, no --privileged, no caps. How Every container can reach Model Runner at model-runner.docker.internal with no...

CVE-2026-5843

CVE-2026-5843 PoC Minimal OCI registry that serves a malicious model to exploit the modelfile importlib execution path in mlx-lm. When Docker Model Runner loads the model for inference, model.py executes on the host as the logged-in user. Requires: Docker Desktop ≤ 4.70.x Apple Silicon with Model...

vllm-metal inference backend Component Code Execution

The vulnerability of the vllm-metal inference backend component of the Docker Desktop Docker Model Runner plugin is related to the inclusion of functions from an unverified controlled area. Exploiting this vulnerability could allow a attacker to execute arbitrary code...

CVE-2026-5817

The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...

CVE-2026-5843

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 modelfile configuration field in config.json. When a model's config.json specifies a modelfile pointing to a Python...

CVE-2026-5843

The CVE describes a vulnerability in Docker Model Runner (macOS) where the MLX-LM backend unconditionally imports and executes arbitrary Python files specified by model_file in a model's config.json via importlib, without a trust_remote_code gate or sandboxing. This enables container-to-host arbi...

CVE-2026-5843

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 modelfile configuration field in config.json. When a model's config.json specifies a modelfile pointing to a Python...

EUVD-2026-31491

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 modelfile configuration field in config.json. When a model's config.json specifies a modelfile pointing to a Python...

CVE-2026-5843 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 modelfile configuration field in config.json. When a model's config.json specifies a modelfile pointing to a Python...

CVE-2026-5843 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 modelfile configuration field in config.json. When a model's config.json specifies a modelfile pointing to a Python...

CVE-2026-5817

The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...

EUVD-2026-31493

The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...

CVE-2026-5817

CVE-2026-5817 affects the vllm-metal backend used by Docker Model Runner on macOS. The backend loads model tokenizers with trust_remote_code=True, causing transformers.AutoTokenizer.from_pretrained() to import and execute arbitrary Python files from models pulled from an OCI registry. This can en...

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

The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...

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

The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trustremotecode=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.frompretrained to import and execute arbitrary Python files included in any model pulled fr...

Exploit for CVE-2026-5817

CVE-2026-5817: Docker Model Runner container-to-host RCE / Esc...

Docker Model Runner 安全漏洞

Docker Model Runner is an open-source Docker model runner developed by Docker. Docker Model Runner vllm-metal contains a security vulnerability. This vulnerability arises from setting trustremotecode=True without any sandbox protection. It may allow arbitrary Python files to be executed during...

Docker Model Runner 安全漏洞

Docker Model Runner is an open-source Docker model runner developed by Docker. There is a security vulnerability in Docker Model Runner MLX. This vulnerability stems from the unconditional import and execution of any Python file in the model directory. It may allow malicious models to be pulled...

CVE-2026-5843: Inclusion of Functionality from Untrusted Control Sphere

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 modelfile configuration field in config.json. When a model's config.json specifies a modelfile pointing to a Python...

PT-2026-42831

Name of the Vulnerable Software and Affected Versions Docker Model Runner on macOS affected versions not specified Description The MLX inference backend uses the MLX-LM library, which imports and executes arbitrary Python files from model directories via the model file configuration field in the...