vLLM是vLLM团队开源的一个适用于 LLM 的高吞吐量和内存高效推理和服务引擎。 vLLM 0.12.0版本至0.24.0之前版本存在异常处理不当漏洞,该漏洞源于向 /v1/completions 请求中发送纯提示嵌入有效载荷,会导致 EngineCore 断言失败并崩溃,造成远程授权用户可使服务器应用程序关闭。
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| vllm-project | vllm | >= 0.12.0, < 0.24.0 |
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Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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 | >= 0.12.0, < 0.24.0 | - |
|
| # | POC Description | Source Link | Shenlong Link |
|---|
No public POC found.
Login to generate AI POC| CVE-2026-54234 | 7.5 HIGH | vLLM: Remote DoS in vLLM via Invalid Recovered Token Reinjection |
| CVE-2026-55646 | 6.5 MEDIUM | vLLM speech-to-text endpoints allocate full upload before enforcing the audio file-size li |
| CVE-2026-55574 | vLLM: ReDoS via structured_outputs.regex compiled without timeout in xgrammar and outlines |
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