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 0.26.0之前版本存在资源管理错误漏洞,该漏洞源于structured_outputs.regex参数传递给lmformatenforcer.RegexParser时未进行编译正则表达式超时或验证,可能导致未经身份验证的/v1/completions请求消耗CPU核心并停滞结构化输出引擎路径,造成拒绝服务。
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| vllm-project | vllm | < 0.26.0 |
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Although we use advanced large model technology, its output may still contain inaccurate or outdated information.Shenlong tries to ensure data accuracy, but please verify and judge based on the actual situation.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 | < 0.26.0 | - |
|
| # | POC Description | Source Link | Shenlong Link |
|---|
No public POC found.
Login to generate AI POC| CVE-2026-73559 | 6.5 MEDIUM | vLLM: Completion prompt lists fan out into unbounded engine requests |
| CVE-2026-73557 | 6.3 MEDIUM | vLLM: Incomplete CVE-2025-62164 remediation can be bypassed by concurrent prompt parts |
| CVE-2026-73555 | 5.3 MEDIUM | vLLM: Unauthenticated Internal Path and Username Disclosure via Validation Error Messages |
| CVE-2026-73558 | 5.3 MEDIUM | vLLM: Cross-User Data Leak Vulnerability |
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