CVE-2026-5843HIGH 8.2EPSS p11.0%

CVE-2026-5843CVE-2026-5843

docker / docker_desktop

Description

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.

Scoring

CVSS 3.18.2 (HIGH)
VectorCVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H
EPSS0.21% probability of exploitation · percentile 11.0% · 2026-06-21T12:00:28Z
Published2026-05-22
Last modified2026-06-01

Underlying weaknesses· 1

CWE-829

References

  1. https://docs.docker.com/desktop/release-notes/#4710

1

TypeTargetConfidenceTier
WeaknessInclusion of Functionality from Untrusted Control Spherecwe-8290%live

Related by meaning· 6

Nearest entities by semantic similarity across the cs-graph corpus.

CVE
CVE-2026-5817
CVE
CVE-2026-33990
CVE
CVE-2025-14287
CVE
CVE-2025-15379
CVE
CVE-2025-62608
CVE
CVE-2026-5241
Sourced from NVD + FIRST.org EPSS. Curated for EU compliance use cases by Adam Lundqvist, Founder at SQUR.