Search Based Fuzzing involves generating various candidate inputs for a given program, identifying the inputs with the best score in some metric of effectiveness and choosing them for the next iteration so that one can iteratively improve the fitness of the given population of inputs. In the previous post I discussed how you can score inputs using approach level. Approach level (or approximation level) is reasonable to compute the distance we have to traverse to reach a given node. However, i...
