Web LLM Attacks
The integration of Large Language Models (LLMs) into online platforms presents a double-edged sword, offering enhanced user experiences but also introducing security vulnerabilities. Insecure output handling is a prominent concern, where insufficient validation or sanitization of LLM outputs can lead to a range of exploits like cross-site scripting (XSS) and cross-site request forgery (CSRF). Indirect …