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OpenAdvisories
Medium · 6.5 CVE-2026-115911 EUVD-2026-109996GHSA-542m-9234-8gvfPYSEC-2026-4344

vLLM: DoS via unbounded chat_template Jinja2 rendering exhausts the renderer thread pool

Published Oct 26, 2026 · Updated Oct 30, 2026 · Assigned by GitHub_M

Description

vLLM is an inference and serving engine for large language models. From 0.19.0 until 0.32.0, authenticated callers can supply a request chat template when no server-side --chat-template is configured, or a malicious model repository can provide a template that is compiled and rendered by tokenizer.apply_chat_template() without a wall-clock timeout, output-size limit, or iteration bound. Rendering runs in a ThreadPoolExecutor with one worker by default, so a nonterminating render can block /v1/responses and other chat-template users after the request ends, while an output-expanding render can exhaust server memory. Harmony models are not affected because they do not use this Jinja path. This issue is fixed in version 0.32.0.

Affected products

VendorProductAffectedFixed
vllm-project vllm >= 0.19.0, < 0.32.0 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI vllm >= 0.19.0, < 0.32.0 0.32.0 GHSA-542m-9234-8gvf

Advisories 1

References