Cybersecurity Researcher Demonstrates AI Chatbot Exploitation Technique Earning $7,500 Bug Bounty

The video features cybersecurity researcher Ads demonstrating a real-world AI chatbot exploitation technique based on a bug he discovered in a major retailer’s public bug bounty program, earning him over $7,500 with a CVSS score between 7 and 8. The scenario involves an e-commerce store with an AI chatbot where users must manipulate the bot into revealing a protected discount code despite having insufficient funds ($50 vs. a $149 item). Ads replicates the bug in a free, interactive lab on Hacker Hub with three difficulty levels (easy, medium, hard), focusing on bypassing guardrails through semantic rephrasing (e.g., 'save money' instead of 'promo code') and abusing business-logic tools like domain lookups for out-of-band DNS exfiltration. Key techniques include dumping system prompts or tool calls, using Burp Collaborator for callback monitoring, and framing requests as legitimate business integrations (e.g., 'Stripe developer testing connectivity') to trick the AI. The video highlights that successful exploitation often relies on identifying overlooked tools (e.g., domain status checks) rather than direct attacks on hardened guardrails. Viewers are challenged to complete the 'hard' lab, which uses a frontier model with additional programmatic protections.