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CVE-2026-5843

Estado: AnalizadaAlta (8.8)—

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

Probabilidad de explotación (EPSS)

EPSS (Exploit Prediction Scoring System, de FIRST) estima la probabilidad de que una vulnerabilidad sea explotada en 30 días. Complementa a CVSS (impacto) y a CISA KEV (explotación confirmada).

🎯 Técnicas ATT&CK

Cómo se explota esta vulnerabilidad y qué consigue el atacante, en el lenguaje de MITRE ATT&CK.

Acceso local (AV:L) con PR:L permite escalada de privilegios ejecutando código Python arbitrario sin restricción via importlib. T1574 por carga de módulos no validados desde config.json.

Inferido por nuestro agente de análisis a partir de la descripción oficial, el vector CVSS y la CWE, y comprobado por un supervisor. Puede contener errores.

🛡️ Mitigaciones ATT&CK que cubren estas técnicas

Execution PreventionBehavior Prevention on EndpointAuditUpdate SoftwareApplication Developer GuidanceUser Account Management

Tecnologías afectadas (1)

Docker — Docker Desktop

CWE

Referencias

JSON original (NVD)

Mostrar
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      "value": "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.\n\nAny 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."
    },
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      "value": "El backend de inferencia MLX en Docker Model Runner en macOS utiliza la biblioteca MLX-LM, que importa y ejecuta incondicionalmente archivos Python arbitrarios de directorios de modelos a través del campo de configuración model_file en config.json. Cuando el config.json de un modelo especifica un model_file que apunta a un archivo Python, MLX-LM utiliza importlib para cargarlo y ejecutarlo sin una puerta trust_remote_code o una comprobación de seguridad equivalente. El backend MLX se ejecuta sin sandboxing, lo que resulta en ejecución de código arbitrario en el host de Docker como el usuario de Docker Desktop.\n\nCualquier contenedor en la red de Docker puede activar esto llamando a la API model-runner.docker.internal para extraer un modelo malicioso de un registro OCI controlado por un atacante y solicitar inferencia."
    }
  ],
  "lastModified": "2026-07-23T11:10:00.120",
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}