CVE-2026-115918
Mở trang đầy đủCVSS 6.5 MEDIUM
vLLM: Responses API bypasses trust_request_chat_template for chat_template_kwargs
Mô tả
Summary
vLLM's /v1/responses endpoint accepts request-level chat_template_kwargs, but does not apply the --trust-request-chat-template gate that protects Chat Completions, render, tokenize, and pooling paths.
When the server is run with the documented default trust_request_chat_template=False and no explicit --chat-template, a Responses request can pass:
{"chat_template_kwargs": {"chat_template": "<attacker Jinja template>"}}
That key is preserved by ChatParams.get_apply_chat_template_kwargs() and then bound as the chat_template parameter to the shared HF renderer. Prior vLLM advisories establish that request-controlled Jinja chat templates can cause CPU/memory exhaustion. This report covers the current-head Responses sibling path missed by the earlier fixes.
Technical Details
The shared OpenAI frontend has a validation helper that rejects request-supplied chat templates unless the trust flag is enabled. It explicitly checks both top-level chat_template and chat_template_kwargs["chat_template"].
Responses is a separate serving path:
vllm/entrypoints/openai/responses/protocol.pyexposeschat_template_kwargs.ResponsesRequest.build_chat_params()merges request kwargs.OpenAIServingResponses._effective_chat_template_kwargs()uses those kwargs.ChatParams.get_apply_chat_template_kwargs()preserves a requestchat_templatekey when the server chat template isNone.vllm/renderers/hf.pyunpacks the result intosafe_apply_chat_template.
There is no equivalent trust gate in vllm/entrypoints/openai/responses/serving.py.
Impact
An authenticated caller who can submit /v1/responses requests can supply a request-controlled Jinja chat template despite the trust flag being disabled. The expected fixed behavior is the same as Chat Completions: reject chat_template_kwargs["chat_template"] unless the server was started with --trust-request-chat-template.
Suggested Fix
- Add
trust_request_chat_templatetoOpenAIServingResponses. - Pass
args.trust_request_chat_templatewhen constructing the Responses serving object. - Reject
request.chat_template_kwargs["chat_template"]before rendering when trust is false. - Keep ordinary kwargs such as
enable_thinkingworking. - Add regression tests for default-deny and opt-in-allow behavior on
/v1/responses.
Affected Package/Versions
Source sweep found the affected shape in:
v0.16.0v0.18.0v0.20.0v0.21.0v0.22.0v0.22.1v0.23.0- current checkout
470229c37efaf69c86e8bc97482b0b1ff7551c65 - current
origin/mainb3f0a0a0df76dda92ec4b2c9335f77e84adad911
Suggested affected range:
>= 0.16.0, <= 0.23.0
Appendix: Duplicate Research
This is related to, but distinct from:
GHSA-6fvq-23cw-5628/CVE-2025-61620GHSA-69j4-grxj-j64p/CVE-2025-62426
Those advisories establish the security impact of request-controlled Jinja templates and chat_template_kwargs, but they cover older Chat Completions/tokenize implementations. This report covers a current /v1/responses sibling path that still lacks the trust gate.
Local prior submissions this report..029 do not cover this root cause.
This advisory was fixed in MR50300.
Điểm và phân loại
- CVSS
- 6.5 MEDIUM v3.1
- Nguồn điểm
- NVD
- Mức độ (theo nguồn)
- MEDIUM
- EPSS
- 0.35%
Vector CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Ảnh hưởng
| Package | Bản bị ảnh hưởng | Bản đã sửa |
|---|---|---|
pip vllm |
>= 0.16.0, < 0.32.0 |
0.32.0
|
Sản phẩm
- vllm-project vllm
- vllm vllm
Vì sao bị lọc
- CVSS 6.5 < 8.0 và không thuộc CISA KEV
Loại tác động
Không nhận ra loại tác động nào từ CWE, vector hay mô tả.
Dữ liệu riêng của nguồn
- CVE.org · Đơn vị cấp mã
- GitHub_M
- CVE.org · SSVC
- Tự động hoá được: no · Khai thác: none · Tác động kỹ thuật: partial
- OSV.dev · ID
- GHSA-x567-49g5-p4cf, PYSEC-2026-4349
Tham khảo
- https://github.com/advisories/GHSA-x567-49g5-p4cf
- https://github.com/vllm-project/vllm/security/advisories/GHSA-x567-49g5-p4cf
- https://nvd.nist.gov/vuln/detail/CVE-2026-115918
- 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://osv.dev/vulnerability/GHSA-x567-49g5-p4cf
- https://github.com/vllm-project/vllm
- https://osv.dev/vulnerability/PYSEC-2026-4349