CVE-2026-27893
HIGH EPSS 50.3%
Published Mar 27, 20263mo ago · Modified Jun 17, 20261w ago
8.8 CVSS 3.1
Published Mar 27, 2026 3mo ago
Last Modified Jun 17, 2026 1w ago
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 Details
Base Score
Exploitability
Impact
Vector string
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H Attack Vector Network
Attack Complexity Low
Privileges Required None
User Interaction Required
Scope Unchanged
Confidentiality High
Integrity High
Availability High
Threat Intelligence
EPSS Exploit Probability
50.3% percentile
Exploit & Patch Status
No Known Exploit
Patch Available
Weaknesses 1
CWE-693
Affected Products 1
| Vendor | Product | Version | Range |
|---|---|---|---|
| vllm | vllm | * | ≥0.10.1 – <0.18.0 |
References 3
- github.com https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72
- github.com https://github.com/vllm-project/vllm/pull/36192
- github.com https://github.com/vllm-project/vllm/security/advisories/GHSA-7972-pg2x-xr59
Remediation
- github.com https://github.com/vllm-project/vllm/commit/00bd08edeee5dd4d4c13277c0114a464011acf72