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 0.23.1rc0之前版本存在资源管理错误漏洞,该漏洞源于/v1/audio/transcriptions端点的压缩上传大小限制未应用于解码后的PCM输出,可能导致拒绝服务攻击。
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| vllm-project | vllm | < 0.23.1rc0 |
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Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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 | < 0.23.1rc0 | - |
|
| # | 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-2026-47155 | 6.5 MEDIUM | vLLM: Artifact Pin Decay in vLLM allows pinned deployments to load unpinned code, weights, |
| 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 |
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