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 0.1.0至0.19.0之前版本存在安全漏洞,该漏洞源于ChatCompletionRequest和CompletionRequest Pydantic模型中n参数缺少上限验证,可能导致未经验证的攻击者通过发送单个HTTP请求造成拒绝服务攻击。
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| vllm-project | vllm | >= 0.1.0, < 0.19.0 |
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Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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 | >= 0.1.0, < 0.19.0 | - |
|
| # | POC Description | Source Link | Shenlong Link |
|---|
No public POC found.
Login to generate AI POC| CVE-2026-34755 | 6.5 MEDIUM | vLLM Affected by Denial of Service via Unbounded Frame Count in video/jpeg Base64 Processi |
| CVE-2026-34753 | 5.4 MEDIUM | vLLM affected by Server-Side Request Forgery (SSRF) in `download_bytes_from_url ` |
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