vLLM 在 0.24.0 之后、0.31.0 之前的版本中,MOSS-Audio 模型服务存在内存耗尽漏洞。该服务会将每个由请求控制的 值对应的处理器缓存到一个无界字典中。未认证的攻击者可以向 端点发送不同的或过大的 值,从而绕过 防护,耗尽主机内存并导致 API 进程崩溃。
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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 | 0.25.0 ~ 0.31.0 | - |
|
| # | POC Description | Source Link | Shenlong Link |
|---|
No public POC found.
Login to generate AI POC| CVE-2026-114053 | 8.1 HIGH | vLLM 0.7.3 before 0.31.0 RCE via mm_processor_kwargs.code_revision |
| CVE-2026-114050 | 7.5 HIGH | vLLM before 0.31.0 Remote Engine Crash via Forged Multimodal UUID |
| CVE-2026-114055 | 7.5 HIGH | vLLM 0.7.3 before 0.31.0 DoS via Unvalidated mm_processor_kwargs |
| CVE-2026-114051 | 7.5 HIGH | vLLM before 0.31.0 Denial of Service via min_tokens in /inference/v1/generate |
| CVE-2026-114054 | 6.5 MEDIUM | vLLM before 0.31.0 Cross-Request Cache Aliasing via EXIF ImageID and Prefix-Cache Keys |
| CVE-2026-114049 | 3.7 LOW | vLLM before 0.31.0 Stale allowed_token_ids Mask via InputBatch.condense |
No comments yet