Smart Fuzzing Course
1 hour, 49 minutes
Course description
The course begins by teaching the theory, as well as Python implementation, for naive and smart fuzzing, including the topics of code coverage, mutation and genetic algorithms for fuzzing. We will then write a custom evolutionary fuzzer that employs machine learning to fuzz a target, as well as understand the machine learning behind and usage of the famous fuzzer AFL. Finally, you will be given an assignment to hone your skills with fuzzing.Syllabus
Assignment: FuzzMe
File - 01:00:00
Assignment: FuzzMe video
Video - 00:01:00
Fuzzing with AFL
Video - 00:08:00
Understand the machine learning behind, as well as use, AFL.
How to Write Your Own Evolutionary Fuzzer
Video - 00:20:00
Design and code an evolutionary fuzzer from scratch.
Mutation
Video - 00:09:00
Understand how mutation is used in fuzzing.
Basic Fuzzing and Code Coverage
Video - 00:11:00
Write a toy fuzzer, understand the idea behind code coverage and instrument a program to obtain code coverage.
What is Fuzzing?
Video - 00:02:00
Brief overview of fuzzing for vulnerability detection.
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