SmartFuzz: Leveraging Large Language Models and Feature Composition to Generate High-Quality Seeds for Database Fuzzing
Mutation-based fuzzing is one of the most effective techniques for uncovering bugs in Database Management Systems (DBMSs). However, its effectiveness critically depends on the quality of the initial seed queries. High-quality seeds should be syntactically and semantically valid, incorporate diverse SQL features, and en...