In this paper, we introduce an approach for improving the early exploration of grey-box fuzzing campaigns; allowing the fuzzer to reach the interesting coverage earlier. To do this, it leverages information from the system under test's (SUT's) control flow graph in order to decide which inputs are likely to lead to discovering most coverage when mutated.

翻译：本文提出了一种改进灰盒模糊测试早期探索阶段的方法，使模糊测试器能够更早地达到感兴趣的程序覆盖率。为此，该方法利用被测系统（SUT）控制流图中的信息，判断哪些输入在经过变异后最有可能发现最大覆盖率。