Fuzzing/mutational grey box #23
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added 18 commits
June 16, 2024 00:49
- Added DataTypeCreator: Necessary for creating certain data types - Extended SeedManager: Population can be created
- Extended methods for creating random int, uint, string so that random values can be created
It is now possible to track the branch coverage of a test function.
Seeds will now be selected by the energy of the seed.
It is now possible to mutate the seed values. UML is updated.
Fixed the bug, that the amount of branches that was covert was smaller than the amount of hashes were stored in the hash_dict.
- Added DataTypeCreator: Necessary for creating certain data types - Extended SeedManager: Population can be created
- Extended methods for creating random int, uint, string so that random values can be created
It is now possible to track the branch coverage of a test function.
Seeds will now be selected by the energy of the seed.
Fixed the bug, that the amount of branches that was covert was smaller than the amount of hashes were stored in the hash_dict.
- Mutate before running tests - If new path was discovered -> insert seed to seed pool -> point of interest
added 3 commits
July 2, 2024 21:49
- Added test cases of helpers.py for greybox fuzzing - Mutation of str, int, float is now made with mutational blackbox fuzzer
- Deleted mutator and shiftet mutation method to GreyBoxRunner -> Mutator class unnecessary with one method in it - Adjusted uml diagram
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Added Grey box fuzzer / runner + test functions to project. |
added 2 commits
July 2, 2024 22:32
- Deleted unnecessary functionality
JKortmann
approved these changes
Jul 3, 2024
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Added to project:
You can create a seed pool with the Greyboxfuzzer. The seed pool can be generated randomly or predefined.
The greyboxfuzzer takes the seed pool and selects one of the seeds (seeds that discover new paths have a higher probability of being selected).
Before executing the function with the seed values, one of the seed values is randomly mutated. If a new path is discovered with a mutated seed, this seed is added to the seed pool.
The energy of the seed is then adjusted depending on how often the execution path has already been seen. If the path has already been seen several times, the energy is reduced and if a new path is discovered, the energy is increased.