Host code execution via unsandboxed tokenizer loading
Published May 22, 2026 · Updated May 22, 2026
Code execution in Docker Model Runner in Docker Desktop 4.62.0 and later, before 4.68.0, allows local users to run Python on macOS. The vllm-metal backend passes trust_remote_code=True to AutoTokenizer.from_pretrained, importing Python from an untrusted OCI model without sandboxing. Any container on the Docker network can request model inference, causing the code to run as the Docker Desktop user on the host.
Summary
What happened
Code execution in Docker Model Runner in Docker Desktop 4.62.0 and later, before 4.68.0, allows local users to run Python on macOS. The vllm-metal backend passes trust_remote_code=True to AutoTokenizer.from_pretrained, importing Python from an untrusted OCI model without sandboxing. Any container on the Docker network can request model inference, causing the code to run as the Docker Desktop user on the host.
The record
- CVE
- CVE-2026-5817
- Published
- May 22, 2026
- Updated
- May 22, 2026
- Vendor
- Docker
- Product
- Docker Desktop
- Classifications
- CWE-829, CAPEC-480, T1611
- Attack vector
- local
- Privileges
- authenticated
Timeline
How it unfolded
- May 22, 2026CVE publishedPublication date reported by the CVE source.
- May 22, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=4.62.0 <4.68.0
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
No public exploit references are available in this record.
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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