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Artificial Intelligence is rapidly becoming part of modern web applications — from customer support bots to shopping assistants and recommendation engines. But as developers rush to integrate LLMs into production systems, a dangerous misconception keeps appearing:

“AI-generated content is safe to render.”

This lab from PortSwigger Web Security Academy proves exactly why that assumption is dangerous.

In this expert-level challenge, we exploit insecure output handling in an LLM-powered live chat system to perform an indirect prompt injection attack that results in stored XSS and ultimately deletes another user’s account automatically. 😈

🧠 What You’ll Learn

In this walkthrough, we’ll cover:

✅ Indirect Prompt Injection
✅ LLM Output Injection
✅ Stored XSS via AI Responses
✅ Bypassing AI Safety Filters
✅ Real-world impact of insecure AI integrations