6.5
Medium
CVE-2026-115918 vLLM is an inference and serving engine for large language models
Description
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.
Affected products and versions
| Product | Affected versions | Fixed in |
|---|---|---|
| vllm 0.16 | 0.16.0 → < 0.32.0 | 0.32.0 |
References
- github.com github.com
- github.com github.com
- github.com github.com
- github.com github.com
Timeline
- Published
- Last modified
Other CVEs of vllm
The 121 CVEs of vllm →
CVE-2026-115917
vLLM is an inference and serving engine for large language models
3.4
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CVE-2026-115916
vLLM is an inference and serving engine for large language models
6.5
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CVE-2026-115915
vLLM is an inference and serving engine for large language models
8.1
High
CVE-2026-115914
vLLM is an inference and serving engine for large language models
6.5
Medium