May 29 2020

Python for Automating Information Security

Python for Automating Information Security
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
May 28, 2020 | ISBN: 9781838828219 | English
Duration: 36 Lessons (2h 38m) | Size: 509 MB

The process of finding and eradicating an attacker is -consuming and costs a lot, which hurts your organization.

Learn how to use the Python programming language to automate offensive and defensive information security tasks

Read and modify exploit scripts so they can be used in a real penetration test

Analyze a packet capture file to look for network traffic anomalies

Collect open-source intelligence (OSINT) to speed up the passive-intelligence-gathering phase of a penetration test

Analyze a log file for suspicious activity

Write a Python replacement for Netcat that can be used for many purposes including obtaining a shell after a successful exploit

Collect packets of the wire for use in live network traffic analysis

Develop your first penetration-testing tool

You need to write tools that will help you automate your defensive and offensive security. As a penetration tester, you need to evolve quickly. When off-the-shelf tools and exploits fall short, writing your own tool will help you safeguard your data.

In this course, learn how to leverage Python to perform routine tasks quickly and efficiently. You will automate log analysis and packet analysis with file operations, regular expressions, and analysis modules; interact with websites to collect intelligence; and develop TCP client and server applications for use in penetration testing. You will learn how to build automation tools for information security, and will hopefully find that these examples will help inspire you to design and build your own!

By the end of this course, you will have the skills and confidence you need to automate both offensive and defensive security techniques using Python; and have developed several small security tools and one large comprehensive penetration testing tool, all of which can be used in the real world.

All the code and supporting files for this course are available on GitHub at:

Learn individual information security techniques using Python

Use several powerful pre-built Python libraries for your own purposes

Build real information security tools in Python!



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