Differential Fuzzing Across The Language Divide

TLDR: This article is an exploration of integrating three different languages to perform coverage guided, in-process differential fuzzing using LibAFL. Three approaches are attemped: Invoking as a command, embedding the interpreter and shared memory. Differential fuzzing is one of the most exciting forms of fuzzing. The essence is to test competing implementations of a library or an application with the same test input, with the hope of finding a difference in the execution outcome.