Code coverage has been an important factor affecting the efficiency of Fuzzing, but it is largely affected by Fuzzing test cases, so it is very important to construct efficient tests. Applying genetic algorithm into the generation of test cases, it can not only reduce the redundancy of test cases, but also improve code coverage. So that we can fully test the target in less time, and improve the efficiency and effectiveness of Fuzzing test.