CVE-2026-115918
CVE-2026-115918 · vLLM: Responses API bypasses trust_request_chat_template for chat_template_kwargs
This page contains facts from public vulnerability sources. Check the original advisory before updating.
vLLM is an inference and serving engine for large language models. From 0.16.0 until 0.32.0, the /v1/responses endpoint allows an authenticated caller to place an attacker-controlled template in chat_template_kwargs[chat_template] when no server template is configured. ChatParams.get_apply_chat_template_kwargs() preserves that value without enforcing trust_request_chat_template, so the request can bypass the intended trust policy and cause CPU or memory exhaustion through Jinja rendering. This issue is fixed in version 0.32.0.
CVSS 6.5 · Medium · EPSS 0.3% · Fix available
- Published
- Updated
Stack: python
Affected products and versions
Original sources
- https://github.com/vllm-project/vllm/security/advisories/GHSA-x567-49g5-p4cf
- https://github.com/vllm-project/vllm/pull/50300
- https://github.com/vllm-project/vllm/commit/cff08b461e086523cee8bba5bd3c66d302625134
- https://github.com/vllm-project/vllm/releases/tag/v0.32.0
- https://nvd.nist.gov/vuln/detail/CVE-2026-115918