Defending AI Systems Against Prompt Injection Attacks - wiz.io

Prompt injection attacks manipulate AI systems, particularly Large Language Models (LLMs), by overriding their intended instructions through malicious input, leading to sensitive data leakage, unauthorized actions, or corrupted outputs. A real-world example involved a phishing campaign leveraging hidden text-based prompt injection to bypass AI defenses, coupled with the exploitation of CVE-2022-30190 (Follina) for remote code execution.