Machine Learning algorithms have many applications in Cyber Security; while, most of these applications are directly related to defensive aspects such as intrusion detection and prevention, machine learning algorithms may be used to attack systems as effectively as it can be used to defend them.
This brief talk introduces a tool that leverages a basic machine learning solution-a genetic algorithm-as a way to brute force obfuscated or randomly generated URLs. Compared to some traditional methods (such as a naive brute force) this approach can have a high success rate.