In this paper, we introduce Ankou, the first grey-box fuzzer that recognizes different combinations of execution information, and present several scalability ...
In this paper, we introduce Ankou, the first grey-box fuzzer that recognizes different combinations of execution information, and present several scalability ...
Oct 1, 2020 · In this paper, we introduce Ankou, the first grey-box fuzzer that recognizes different combinations of execution information.
In this paper, we introduce Ankou, the first grey-box fuzzer that recognizes different combinations of execution information, and present several scalability ...
Ankou goal: developing a fitness function taking into account combinations. 1. Quantify the difference between program executions. 2. Make fitness computation ...
ABSTRACT. Grey-box fuzzing is an evolutionary process, which maintains and evolves a population of test cases with the help of a fitness function.
Grey-box fuzzing is an evolutionary process, which maintains and evolves a population of test cases with the help of a fitness function.
The details of the technique can be found in our paper "Ankou: Guiding Grey-box Fuzzing towards Combinatorial Difference", which is published in ICSE 2020.
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Boosts libFuzzer performance by changing how weights are assigned to seeds. 2020, Ankou, Guiding Grey-box Fuzzing towards Combinatorial Difference. 2019, AFL++ ...