ML: penetration testing model by Asal Delkhosh, Prof. Sadeghian
November 15, 2023 | Reading Time: 1 min
Implementing a machine learning model in order to find the attacks that can be performed during a penetration testing by using analysis result data which consists of system vulnerabilities, bugs, and bad smells.
Kaggle: a dataset of 3500 penetration testing scenarios by Asal Delkhosh, Prof. Sadeghian
October 1, 2023 | Reading Time: 1 min
This dataset contains a list of vulnerabilities and attacks sets. We gathered a list of possible layer 7 attacks on APIs and then we selected which attacks can be performed based on the given vulnerabilities.