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 0.7.0至0.19.0之前版本存在安全漏洞,该漏洞源于VideoMediaIO.load_base64方法未强制帧数限制,可能导致内存耗尽和服务器崩溃。
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| vllm-project | vllm | >= 0.7.0, < 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Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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 | >= 0.7.0, < 0.19.0 | - |
|
| # | POC Description | Source Link | Shenlong Link |
|---|
No public POC found.
Login to generate AI POC| CVE-2026-34756 | 6.5 MEDIUM | vLLM Affected by Unauthenticated OOM Denial of Service via Unbounded `n` Parameter in Open |
| CVE-2026-34753 | 5.4 MEDIUM | vLLM affected by Server-Side Request Forgery (SSRF) in `download_bytes_from_url ` |
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