CVE-2026-5817
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BaseFortify

Publication date: 2026-05-22

Last updated on: 2026-05-22

Assigner: Docker Inc.

Description
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.
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Meta Information
Published
2026-05-22
Last Modified
2026-05-22
Generated
2026-05-26
EPSS Evaluated
N/A
NVD
EUVD
Affected Vendors & Products
Currently, no data is known.
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-829 The product imports, requires, or includes executable functionality (such as a library) from a source that is outside of the intended control sphere.
Attack-Flow Graph
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0/70
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