Book Image

Hands-On Penetration Testing with Python

By : Furqan Khan
Book Image

Hands-On Penetration Testing with Python

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)

Cyber threat intelligence platforms

As discussed earlier, the process of intelligence gathering can be automated either with the help of different scripts that we can combine, or to have a central platform in place capable for both collecting and sharing cyber threat intelligence. Central platforms that have this capability are called cyber threat intelligence platforms. Let's try to understand the process of semi-automation and complete automation of cyber threat intelligence gathering:

  • The following diagram represents the problem statement that a threat intelligence platform tries to solve. In a large organization, the SIEM tool generates 100–100,000 events per minute, and the rule engine triggers 20–50 alerts in an hour. The analyst needs to validate each alert manually and check if the IP or domain in question is legitimate or not. The analyst has to use...