Fuzzing


aturt13 Dojo.

Identifying vulnerabilities in large codebases through manual means is both inefficient and time-consuming. As code length increases, complex interdependent elements hinder manual analysis. Race conditions and intricate heap corruption vulnerabilities can oftentimes triggered only by a very complex sequence of actions. As human minds struggle to manually assess vast amounts of data, we can leverage computers and algorithms to do the hard work for us.



Challenges

Leverage AFL++ to find an input that causes the binary to segfault.

Exploit the binary.


30-Day Scoreboard:

This scoreboard reflects solves for challenges in this module after the module launched in this dojo.

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