Description
vLLM is an inference and serving engine for large language models (LLMs). Starting in version 0.10.1 and prior to version 0.18.0, two model implementation files hardcode `trust_remote_code=True` when loading sub-components, bypassing the user's explicit `--trust-remote-code=False` security opt-out. This enables remote code execution via malicious model repositories even when the user has explicitly disabled remote code trust. Version 0.18.0 patches the issue.
CVSS Metrics
- Vector
- CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- Attack Vector
- network
- Complexity
- low
- Privileges
- none
- User Action
- required
- Scope
- unchanged
- Confidentiality
- high
- Integrity
- high
- Availability
- high
- Weaknesses
- CWE-693
Metadata
- Primary Vendor
- VLLM
- Published
- 3/27/2026
- Last Modified
- 3/30/2026
- Source
- NIST NVD
- Note: Verify all details with official vendor sources before applying patches.
Affected Products
vllm : vllm
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