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.
Get to grips with Custom vulnerability scanner development
Familiarize yourself with web application scanning automation and exploit development
Walk through day-to-day cybersecurity scenarios that can be automated with Python
Discover enterprise-or organization-specific use cases and threat-hunting automation
Understand reverse engineering, fuzzing, buffer overflows , key-logger development, and exploit development for buffer overflows.
Understand web scraping in Python and use it for processing web responses
Explore Security Operations Centre (SOC) use cases
Get to understand Data Science, Python, and cybersecurity all under one hood