以下是该漏洞描述信息的中文翻译: vLLM 是一个用于大型语言模型的推理和服务引擎。在 0.22.1 至 0.28.0 版本中,由用户提供的模型修订锁定参数( / )未能正确传递到 FunAudioChat 和 Tarsier2 架构下的多个 Hugging Face 资源加载项:包括 中的 WhisperFeatureExtractor 和 speech_tokenizer PreTrainedTokenizerFast 加载,以及 中 Tarsier2ProcessingInfo 所使用的 Qwen2VLCon
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| Vendor | Product | Affected Versions | CPE | Subscribe |
|---|---|---|---|---|
| vllm-project | vllm | 0.22.1 ~ 0.28.0 | - |
|
| # | POC Description | Source Link | Shenlong Link |
|---|
No public POC found.
Login to generate AI POC| CVE-2026-100654 | 6.5 MEDIUM | vLLM before 0.29.0 Denial of Service via out-of-range stop_token_ids |
| CVE-2026-100650 | 6.5 MEDIUM | vLLM before 0.29.0 Resource Exhaustion via Unbounded Media Materialization |
| CVE-2026-100651 | 6.5 MEDIUM | vllm before 0.29.0 Denial of Service via Decoder Prompt Length Bypass |
| CVE-2026-100652 | 5.9 MEDIUM | vLLM 0.22.0 through 0.23.0 Denial of Service via stop_token_ids |
| CVE-2026-100647 | 5.3 MEDIUM | vLLM before 0.29.0 CPU Exhaustion via unbounded cache_salt |
| CVE-2026-100648 | 5.3 MEDIUM | vllm before 0.29.0 Uncontrolled Resource Consumption via Audio Decoding |
| CVE-2026-100649 | 3.7 LOW | vLLM before 0.29.0 Resource Limit Bypass via Sampler Subclass |
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