DIFFERENTIAL FUZZING FOR CRYPTOGRAPHY

Summary from the TLDR InfoSec newsletter

Differential fuzzing uses multiple implementations to compare outputs for finding bugs like logic errors and incorrect computations, beyond just memory bugs and crashes. LibAFL is a tool that helps with custom input generation for differential fuzzing, allowing for more efficient bug discovery in cryptographic implementations. The quality of input generation and harness design is crucial for a successful fuzzing campaign, highlighting the importance of testing edge cases while restricting the test range to what the target can handle.