CVE & CISA-KEV Catalog

CVE-2026-5817

HIGH
8.2
CVSS v3
NVD

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.

How to fix

Remediation Available
Docker DesktopWindows application
Affected:4.62.0 4.68.0Fixed in:4.68.0Docker Inc.
Docker Desktop EdgeWindows application
Affected:4.62.0 4.68.0Fixed in:4.68.0Docker Inc.

Remediation is compiled from vendor and distribution security advisories. Always confirm against the linked source for your exact version and platform.

CVSS v3 Vector

Exploitability

Attack VectorLocal
Attack ComplexityLow
Privileges RequiredLow
User InteractionRequired
ScopeChanged

Impact

ConfidentialityHigh
IntegrityHigh
AvailabilityHigh

CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:C/C:H/I:H/A:H

Exploit Intelligence

0.22%probability of exploitation in 30 days
13thpercentile

Low risk: more likely to be exploited than 13% of all known CVEs.

References

Release Notes1
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Markdown

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HTML

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This product uses NVD data but is not endorsed or certified by the NVD. EPSS scores courtesy of FIRST.org (https://www.first.org/epss). Source: CISA KEV Catalog. Data as of 2026-06-01.