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Gray Hat Python by Justin Seitz

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Future Considerations

Although we have created a fuzzer that may find some bugs if given enough time, there are some improvements you could apply on your own. Think of this as a possible homework assignment.

Code Coverage

Code coverage is a metric that measures how much code you execute when testing a target application. Fuzzing expert Charlie Miller has empirically proven that an increase in code coverage will yield an increase in the number of bugs you find.[38] We can't argue with that logic! A simple way for you to measure code coverage is to use any of the aforementioned debuggers and set soft breakpoints on all functions within the target executable. Simply keeping a counter of how many functions get hit with each test case will give you an ...

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