vLLM 版本低于 0.29.0 的实例中存在一个拒绝服务漏洞,该漏洞出现在对 OpenAI 兼容和 Anthropic API 端点所接受的 参数处理过程中。由于缺乏最大长度验证,且该参数在单一 EngineCore 调度器线程上进行处理,未授权的攻击者可以发送包含数百兆字节 salt 值的 HTTP 请求,从而触发昂贵的 pickle 序列化与 SHA-256 哈希计算,导致调度器线程被阻塞,进而使所有并发请求无法获得服务。
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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 ~ 0.29.0 | - |
|
| # | 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-2026-100653 | 6.5 MEDIUM | vLLM 0.22.1 before 0.28.0 Incomplete Artifact Pin Propagation |
| CVE-2026-100652 | 5.9 MEDIUM | vLLM 0.22.0 through 0.23.0 Denial of Service via stop_token_ids |
| 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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