🔍 SGLang RCE Exsure Hits NEAR AI exposed a hack related to SGLang corrupted remote code that exposed data from 18 agents and about 100 users. The incident involved unauthorized access to AI-linked systems and data theft using the SGLang RCE flaw. The case highlights how components leveraged in AI application stacks can create a direct path from modelable infrastructure to user and agent data. The scale seems limited, but the penetration shows that a one-time vulnerability can bridge executions and operational data. Open sources - closed narratives.