vLLM是vLLM开源的一个适用于 LLM 的高吞吐量和内存高效推理和服务引擎。 vLLM 0.10.1版本至0.14.0之前版本存在代码注入漏洞,该漏洞源于在模型解析期间加载Hugging Face auto_map动态模块时未受信任远程代码控制,可能导致攻击者在模型加载时执行任意代码。
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| vllm-project | vllm | >= 0.10.1, < 0.14.0 |
affected |
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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 | >= 0.10.1, < 0.14.0 | - |
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| # | POC Description | Source Link | Shenlong Link |
|---|---|---|---|
| 1 | CVE-2026-22807的靶场 | https://github.com/otakuliu/CVE-2026-22807_Range | POC Details |
No public POC found.
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