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 0.22.0之前版本存在输入验证错误漏洞,该漏洞源于修订版固定控制未能一致应用于模型加载的所有工件,导致供应链完整性受到影响,可能使部署者加载未经审查的嵌套或同级工件。
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| vllm-project | vllm | < 0.22.0 |
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Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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 | < 0.22.0 | - |
|
| # | POC Description | Source Link | Shenlong Link |
|---|
No public POC found.
Login to generate AI POC| CVE-2026-48746 | 9.1 CRITICAL | vLLM: OpenAI auth bypass |
| CVE-2026-54232 | 8.8 HIGH | vLLM: Dependency Confusion Vulnerability in vLLM Dockerfile |
| CVE-2026-41523 | 7.5 HIGH | vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arb |
| CVE-2026-54233 | 6.5 MEDIUM | vLLM: OOM Denial of Service via Audio Decompression Bomb |
| CVE-2026-54236 | 5.3 MEDIUM | vLLM: incomplete CVE-2026-22778 fix leaks PIL repr addresses via Anthropic router |
| CVE-2026-53923 | vLLM GGUF Kernels: int64_t to int truncation of tensor dimensions causes GPU buffer overfl | |
| CVE-2026-54235 | vLLM: temperature=NaN and temperature=Infinity bypass validation and propagate to GPU kern |
No comments yet