vLLM 是一个用于大型语言模型的推理与服务引擎。在版本 0.16.0 至 0.32.0 期间,/v1/responses 接口允许已认证的调用方在服务器未配置模板时,将攻击者控制的模板放入 中。由于 方法在保存该值时未强制检查 标志,导致请求可绕过预期的信任策略,并通过 Jinja 模板渲染引发 CPU 或内存资源耗尽。该问题已在版本 0.32.0 中修复。
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.
| Vendor | Product | Affected Versions | CPE | Subscribe |
|---|---|---|---|---|
| vllm-project | vllm | >= 0.16.0, < 0.32.0 | - |
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| # | POC Description | Source Link | Shenlong Link |
|---|
No public POC found.
Login to generate AI POC| CVE-2026-115915 | 8.1 HIGH | vLLM: Untrusted EPS inputs can trigger denial of service or Ghostscript RCE |
| CVE-2026-115912 | 7.5 HIGH | vLLM: Public multimodal SHM handle forgery reaches worker-side `pickle.loads()` with insec |
| CVE-2026-115911 | 6.5 MEDIUM | vLLM: DoS via unbounded chat_template Jinja2 rendering exhausts the renderer thread pool |
| CVE-2026-115913 | 6.5 MEDIUM | vLLM: Phi-4 multimodal audio encoder materializes and retains full attention matrices: a s |
| CVE-2026-115916 | 6.5 MEDIUM | vLLM: Out-of-vocabulary prompt token id passes input validation and triggers a CUDA device |
| CVE-2026-115914 | 6.5 MEDIUM | vLLM DeepSeek-OCR image processing vulnerable to denial of service |
| CVE-2026-115917 | 3.4 LOW | vLLM: Permissive default CORS origins allow cross-origin requests to the vLLM HTTP server |