CVEvulnerability

CVE-2026-5843

8.8 HIGH Published 2026-05-22 Modified 2026-07-23 Official page ↗
Status
Analyzed
Published
2026-05-22
Last modified
2026-07-23
Assigner
[email protected]
CVSS 4.0 ([email protected])
8.8 HIGH — CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
CVSS 3.1 ([email protected])
8.2 HIGH — CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H
CVSS 3.1 ([email protected])
8.6 HIGH — CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
Weaknesses
CWE-829

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.

Affected configurations

• docker docker desktop (>= 4.56.0 < 4.71.0)

Related

Weakness · CWE (1)

  • CWE-829 Inclusion of Functionality from Untrusted Control Sphere weakness

References