Prompt Injection attack against LLM-integrated Applications

Understand

Large Language Models (LLMs), renowned for their superior proficiency in language comprehension and generation, stimulate a vibrant ecosystem of applications around them.

• However, their extensive assimilation into various services introduces significant security risks.
• This study deconstructs the complexities and implications of prompt injection attacks on actual LLM-integrated applications.
• Initially, we conduct an exploratory analysis on ten commercial applications, highlighting the constraints of current attack strategies in practice.