在 vLLM 0.29.0 之前的版本中,系统在 OpenAI 兼容的 POST /v1/completions 和 POST /v1/chat/completions 端点上接受用户控制的 stop_token_ids 参数,但仅验证这些值是否为整数,而未检查每个 token ID 是否位于模型词汇表或 logits 索引的有效范围内。 当 min_tokens 参数大于 0 时,stop token IDs 会被用作 logits 索引,以抑制停止令牌。此时,若传入超出有效范围的 token ID,将触发 CU
Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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-2026-100650 | 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-2026-100647 | 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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