Researchers have discovered a novel jailbreaking technique that leverages SQL injection principles to bypass safety guardrails in large language models.

• High success rates across multiple leading LLMs, including GPT-4 and Claude
• Exploits how LLMs process structural prompt elements rather than semantic content
• Functions by creating nested data structures that confuse model parsing mechanisms
• Researchers propose an effective defense method based on preprocessing inputs

This research highlights critical security vulnerabilities in current AI systems that could allow malicious actors to extract harmful content, highlighting the need for robust structural safeguards in modern LLMs.

SQL Injection Jailbreak: A Structural Disaster of Large Language Models