SQL Injection: The Hidden Threat in LLM Applications
Uncovering security vulnerabilities in LLM-integrated web systems
This research reveals how prompt injections can evolve into dangerous SQL injection attacks in applications using large language models with database access.
- LLM middleware like Langchain can translate user prompts into vulnerable SQL queries
- Multiple attack vectors identified across popular LLMs including GPT and open-source models
- Security gaps exist even in systems with standard database protection measures
- Researchers propose specific defense techniques to mitigate these emerging threats
Business Impact: As organizations rapidly deploy LLM-powered applications, these findings highlight critical security considerations that could prevent data breaches and protect sensitive information.