Revolutionizing The Field Of Grey-Box Attack Surface Testing With Evolutionary Fuzzing

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Presented at Blackhat USA 2007 by

Dr. Punch

Runtime code coverage analysis is feasible and useful when application source code is not available. An evolutionary test tool receiving such statistics can use that information as fitness for pools of sessions to actively learn the interface protocol. We call this activity grey-box fuzzing. We intend to show that, when applicable, grey-box fuzzing is more effective at finding bugs than RFC compliant or capture-replay mutation black-box tools. This research is focused on building a better/new breed of fuzzer. The impact of which is the discovery of difficult to find bugs in real world applications which are accessible (not theoretical).