Efficient MD5 hash reversing using D.E.A. framework for sharing computational resources

The recent advances in computing technology lead to the availability of a huge number of computational resources that can be easily connected through network infrastructures. Indeed, a really small fraction of the available computing power is fully exploited for performing effective computation of user tasks. On the contrary, there are several research projects that require a lot of computing power to reach their goals, but they usually lack adequate resources thus making the project activities quite hard to be completed. In this paper we describe D.E.A. (Distributed Execution Agent), a framework for sharing computational resources. We will exploit D.E.A. framework to tame the high computational demanding problem of hash MD5 reversing. We performed several experiments that confirmed the validity of our approach.