vLLM 是一个面向大型语言模型的推理与服务引擎。在 0.19.0 至 0.32.0 版本中,已认证的调用方可以在服务器未配置 参数时,自行提供请求对话模板;或者,恶意模型仓库可提供一个模板,该模板会被 编译并渲染,且该过程缺乏实时超时限制、输出大小限制或迭代次数上限。由于渲染默认在一个仅含单个工作线程的 中执行,因此非终止的渲染操作会在请求结束后阻塞 及其他使用对话模板的接口,而输出膨胀型的渲染则可能耗尽服务器内存。Harmony 系列模型不受此问题影响,因为它们不经过该 Jinja 模板处理路径。该漏洞已在 0
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| Vendor | Product | Affected Versions | CPE | Subscribe |
|---|---|---|---|---|
| vllm-project | vllm | >= 0.19.0, < 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-2026-115913 | 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-2026-115918 | 6.5 MEDIUM | vLLM: Responses API bypasses trust_request_chat_template for chat_template_kwargs |
| CVE-2026-115917 | 3.4 LOW | vLLM: Permissive default CORS origins allow cross-origin requests to the vLLM HTTP server |