vLLM before 0.29.0 contains a resource-limit bypass vulnerability in PyNvVideoCodec decoder allocation where sampler subclass shadowing allows independent counter increments. Unauthenticated attacker…
低危 CVSS 3.7
摘要
vLLM before 0.29.0 contains a resource-limit bypass vulnerability in PyNvVideoCodec decoder allocation where sampler subclass shadowing allows independent counter increments. Unauthenticated attackers can select different sampler subclasses in video requests to exceed configured decoder limits and exhaust unaccounted GPU memory.
中文摘要建设中,暂以英文摘要呈现(DR-003 v2)。
深度研判
该漏洞尚未生成深度研判报告(DR-003 v2 AI pipeline 建设中)。
数据来源
- NVD DATABASE
原始链接
- https://github.com/vllm-project/vllm/security/advisories/GHSA-j682-9xp5-rrf3
- https://www.vulncheck.com/advisories/vllm-before-0.29.0-resource-limit-bypass-via-sampler-subclass
时间线
- nvd_ingest NVD