{
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      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-5843",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
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                "role": "CISA Coordinator",
                "timestamp": "2026-05-26T00:00:00+00:00",
                "version": "2.0.3"
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          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
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        "title": "CISA ADP Vulnrichment"
      }
    ],
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      "affected": [
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          "platforms": [
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          "vendor": "Docker",
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              "version": "4.56.0",
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          "supportingMedia": [
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              "base64": false,
              "type": "text/html",
              "value": "Docker Model Runner enabled with the MLX inference backend on macOS"
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          ],
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      "credits": [
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          "type": "finder",
          "value": "David Rochester (@davidrxchester)"
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        {
          "lang": "en",
          "type": "finder",
          "value": "Nicholas Gould (@gouldnicholas)"
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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 \u003ccode\u003emodel_file\u003c/code\u003e configuration field in \u003ccode\u003econfig.json\u003c/code\u003e. When a model\u0027s \u003ccode\u003econfig.json\u003c/code\u003e specifies a \u003ccode\u003emodel_file\u003c/code\u003e pointing to a Python file, MLX-LM uses \u003ccode\u003eimportlib\u003c/code\u003e to load and execute it with no \u003ccode\u003etrust_remote_code\u003c/code\u003e 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.\u003cbr\u003e\u003cbr\u003eAny container on the Docker network can trigger this by calling the \u003ccode\u003emodel-runner.docker.internal\u003c/code\u003e API to pull a malicious model from an attacker-controlled OCI registry and request inference."
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          "capecId": "CAPEC-480",
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              "lang": "en",
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            "exploitMaturity": "NOT_DEFINED",
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            "vectorString": "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",
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            "vulnerabilityResponseEffort": "NOT_DEFINED"
          },
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            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H",
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      "problemTypes": [
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          "descriptions": [
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              "cweId": "CWE-829",
              "description": "CWE-829: Inclusion of Functionality from Untrusted Control Sphere",
              "lang": "en",
              "type": "CWE"
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          ]
        }
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      "providerMetadata": {
        "dateUpdated": "2026-05-22T19:28:38.857Z",
        "orgId": "686469e6-3ff6-451b-ab8b-cf5b9e89401e",
        "shortName": "Docker"
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          ],
          "url": "https://docs.docker.com/desktop/release-notes/#4710"
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      "source": {
        "discovery": "EXTERNAL"
      },
      "title": "Docker Model Runner container-to-host code execution via MLX-LM model_file importlib loading",
      "workarounds": [
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          ],
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    "datePublished": "2026-05-22T19:28:38.857Z",
    "dateReserved": "2026-04-08T17:43:50.508Z",
    "dateUpdated": "2026-05-27T03:55:38.188Z",
    "state": "PUBLISHED"
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