[ CVE-2026-115911 · Published 26 Oct 2026 ]

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

CVSS 6.5 EPSS <1%1 agency advisoryFix available

[ Description ]Official 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.

[ Fixes ]Fixes and patches

  • vllm 0.32.0Fixed version · GitHub Advisories · pip package vllm: upgrade to 0.32.0 or later (affected >= 0.19.0, < 0.32.0)
  • Patch on github.comVendor patch or bulletin · NVD · Reference tagged 'Patch' by NVD
  • Patch on github.comVendor patch or bulletin · NVD · Reference tagged 'Patch' by NVD
  • Patch on github.comVendor patch or bulletin · NVD · Reference tagged 'Patch' by NVD

[ Advisories ]Government CERT advisories

  • BSI CERT-BundWID-SEC-2026-4051

    vllm: Multiple vulnerabilities Translated from German

    CVE-2026-115918CVE-2026-115911CVE-2026-115912+6 more CVEs

[ Packages ]Affected open-source packages