Fuzzing Explained: How Evolutionary Testing Exposes Software's Hidden Flaws

Fuzzing addresses a critical software quality gap: developers naturally anticipate predictable use cases but miss unexpected inputs that trigger crashes or security vulnerabilities. For internet-scale software like browsers and compilers, rigorous testing against adversarial inputs is essential to prevent remote code execution attacks. Coverage-guided fuzzing tools like AFL revolutionized the field by intelligently evolving test cases to explore new code paths, transforming vulnerability discovery from random guessing into systematic, automated exploration.