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Hands-On Penetration Testing with Python

Hands-On Penetration Testing with Python

By : Furqan Khan
3.7 (3)
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Hands-On Penetration Testing with Python

Hands-On Penetration Testing with Python

3.7 (3)
By: Furqan Khan

Overview of this book

With the current technological and infrastructural shift, penetration testing is no longer a process-oriented activity. Modern-day penetration testing demands lots of automation and innovation; the only language that dominates all its peers is Python. Given the huge number of tools written in Python, and its popularity in the penetration testing space, this language has always been the first choice for penetration testers. Hands-On Penetration Testing with Python walks you through advanced Python programming constructs. Once you are familiar with the core concepts, you’ll explore the advanced uses of Python in the domain of penetration testing and optimization. You’ll then move on to understanding how Python, data science, and the cybersecurity ecosystem communicate with one another. In the concluding chapters, you’ll study exploit development, reverse engineering, and cybersecurity use cases that can be automated with Python. By the end of this book, you’ll have acquired adequate skills to leverage Python as a helpful tool to pentest and secure infrastructure, while also creating your own custom exploits.
Table of Contents (18 chapters)
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Summary

In this chapter, we discussed abut conditions, loops, methods, iterators, packages, generators, and comprehensions. All of these are widely used in Python. The reason why we covered these topics is because when we get into automating penetration testing and cyber security test cases later on, we will see these concepts widely used within our code files. In the next chapter, we will explore the object-oriented nature of Python. We will explore how to deal with XML, CSV, and JSON data in Python. We will also read about files, IO, and regular expressions.

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