Description
vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the structured_outputs.regex parameter in vllm/v1/structured_output/backend_lm_format_enforcer.py is passed to lmformatenforcer.RegexParser without compile_regex_with_timeout or validation in validate_structured_output_request_lm_format_enforcer, allowing an unauthenticated /v1/completions request against the lm-format-enforcer backend to consume a CPU core and stall the structured-output engine path with a catastrophic regular expression. This issue is fixed in version 0.26.0.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:LWeakness enumeration
Affected software
| Vendor | Product | Versions |
|---|---|---|
| vllm-project | vllm | < 0.26.0 |
References
- https://github.com/vllm-project/vllm/commit/c9a788eedc412acceaa5112e0d44624b49841577Patch
- https://github.com/vllm-project/vllm/pull/47595Issue Tracking, Patch
- https://github.com/vllm-project/vllm/releases/tag/v0.26.0Release Notes
- https://github.com/vllm-project/vllm/security/advisories/GHSA-48jh-3gj7-fg8vVendor Advisory
- https://github.com/vllm-project/vllm/security/advisories/GHSA-48jh-3gj7-fg8vVendor Advisory
Timeline
- Published
- Aug 13, 2026
- Last modified
- Sep 28, 2026
- NVD status
- Analyzed