๐Ÿ” CVE Alert

CVE-2026-115911

MEDIUM 6.5

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

CVSS Score
6.5
EPSS Score
0.0%
EPSS Percentile
0th

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.

CWE CWE-400 CWE-770 CWE-834
Vendor vllm-project
Product vllm
Published Oct 26, 2026
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CVSS v3 Breakdown

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Affected Versions

vllm-project / vllm
>= 0.19.0, < 0.32.0

References

NVD โ†— CVE.org โ†— EPSS Data โ†—
github.com: https://github.com/vllm-project/vllm/security/advisories/GHSA-542m-9234-8gvf github.com: https://github.com/vllm-project/vllm/pull/50300 github.com: https://github.com/vllm-project/vllm/commit/cff08b461e086523cee8bba5bd3c66d302625134 github.com: https://github.com/vllm-project/vllm/releases/tag/v0.32.0