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Neuralfuzz - Neural Networks for Fuzzing Web Apps
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- 1 Intro
- 2 What is the fuzzing
- 3 What is the difference?
- 4 The main problems of fuzzing
- 5 WHERE. The coverage problem
- 6 WHAT.Attack vectors
- 7 SHOW. Interpretation problem
- 8 Fuzzing tool architecture
- 9 How to fuzz?
- 10 Recurrent neural networks
- 11 LSTM. Long Short Memory Unit
- 12 Fuzzing network architecture
- 13 Fuzzing NN training. LFI payloads
- 14 Analysing the results
- 15 Example 4
- 16 What's next?
- 17 Some sort of vision
