Mastering Machine Learning for Penetration Testing

What this book covers

Chapter 1, Introduction to Machine Learning in Pentesting, introduces reader to the fundamental concepts of the different machine learning models and algorithms, in addition to learning how to evaluate them. It then shows us how to prepare a machine learning development environment using many data science Python libraries.

Chapter 2, Phishing Domain Detection, guides us on how to build machine learning models to detect phishing emails and spam attempts using different algorithms and natural language processing (NLP).

Chapter 3, Malware Detection with API Calls and PE Headers, explains the different approaches to analyzing malware and malicious software, and later introduces us to some different techniques for building ...