CVE-2026-5817

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.

CVSS v3 8.2 HIGH

8.2^/10

CVSS v3 : HIGH

Vector :

Exploitability : 1.5 / Impact : 6.0

Attack Vector LOCAL

Attack Complexity LOW

Privileges Required LOW

User Interaction REQUIRED

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope CHANGED

References

Link	Resource
https://docs.docker.com/desktop/release-notes/#4680	Release Notes

Configurations

Configuration 1 (hide)

AND

cpe:2.3:a:docker:docker_desktop:*:*:*:*:*:*:*:*

cpe:2.3:o:apple:macos:-:*:*:*:*:*:*:*

History

No history.

Information

Published : 2026-05-22 20:16

Updated : 2026-07-23 11:10

NVD link : CVE-2026-5817

Mitre link : CVE-2026-5817

CVE.ORG link : CVE-2026-5817

JSON object : View

Products Affected

docker

docker_desktop

apple

macos

CWE

CWE-829

Inclusion of Functionality from Untrusted Control Sphere

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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.\n\nAny container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model and request inference."}, {"lang": "es", "value": "El backend de inferencia vllm-metal en Docker Model Runner en macOS establece incondicionalmente trust_remote_code=True al cargar tokenizadores de modelos, y se ejecuta sin sandboxing. Esto provoca que transformers.AutoTokenizer.from_pretrained() importe y ejecute archivos Python arbitrarios incluidos en cualquier modelo extra\u00eddo de un registro OCI, lo que resulta en ejecuci\u00f3n de c\u00f3digo arbitrario en el host de Docker como el usuario de Docker Desktop cuando se activa la inferencia.\n\nCualquier contenedor en la red de Docker puede activar esto llamando a la API model-runner.docker.internal para extraer un modelo malicioso y solicitar inferencia."}], "lastModified": "2026-07-23T11:10:00.120", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:docker:docker_desktop:*:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "D13BBDD8-AB90-414E-A29B-75FA2125E68F", "versionEndExcluding": "4.68.0", "versionStartIncluding": "4.62.0"}], "operator": "OR"}, {"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:o:apple:macos:-:*:*:*:*:*:*:*", "vulnerable": false, "matchCriteriaId": "387021A0-AF36-463C-A605-32EA7DAC172E"}], "operator": "OR"}], "operator": "AND"}], "sourceIdentifier": "security@docker.com"}