CVE-2026-115911
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
CVSS
6.5
Medium
EPSS
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KEV
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Exploit Today
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0-100
Published: Oct 26, 2026 · Last modified: Oct 26, 2026 · CWE-400 · CWE-770 · CWE-834
Not enough EPSS history yet.
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.
- github.comhttps://github.com/vllm-project/vllm/commit/cff08b461e086523cee8bba5bd3c66d302625134
- github.comhttps://github.com/vllm-project/vllm/pull/50300
- github.comhttps://github.com/vllm-project/vllm/releases/tag/v0.32.0
- github.comhttps://github.com/vllm-project/vllm/security/advisories/GHSA-542m-9234-8gvf