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Python Digital Forensics
Rating: 4.2 out of 5(33 ratings)
462 students

Python Digital Forensics

Use common Python libraries and tools to excel in network and host digital forensics
Last updated 10/2018
English

What you'll learn

  • Think like an attacker and solve forensics issues with more efficiently
  • Learn network forensics to drive your host analysis
  • Investigate with the utmost efficiency in Windows and GNU/Linux environments
  • Learn advanced data-viewing topics in file analysis
  • Get the best tools to obtain and analyze volatile memory images
  • Use Python to complete enumeration, exploitation, and data exfiltration

Course content

5 sections22 lectures3h 15m total length
  • The Course Overview2:39

    This video provides an overview of the entire course.

  • Learning Dshell9:29

    In this video, we will learn how to inspect network traffic at the packet level using Dshell.

    • Learn to set up a Python virtual environment

    • Learn to import packet capture

    • Use Dshell decoders to fuller analyze automate network traffic

  • Working with Scapy13:52

    In this video, we will continue to deepen the level of knowledge of packet analysis with Scapy.

    • Familiarize ourselves with object-oriented notations

    • Practice using the Scapy interactive interpreter

    • Automate packet capture investigation through the Scapy interpreter

  • Importing Scapy Modules8:16

    In this video, we will design a Python based Scapy tool to automate our network analysis.

    • Familiarize ourselves with common Python data structures

    • Learn to import 3rd party modules into our own application

    • Unleash the power of Python and Scapy by building our own application

  • Introduction to Impacket8:51

    In this video, we will add breadth to our Python capability to extend functionality using Impacket.

    • Further expand our application to import Impacket

    • Decode raw packets using Impacket

    • Get a better understanding of encapsulation and how Impacket handles data

Requirements

  • Prior programming experience is beneficial but not required.

Description

Python is uniquely positioned as a programming language to perform cyber investigations and perform forensics analysis. Unleash the power of Python by using popular libraries and Python tools to help you create efficient and thorough forensics investigations. This course will walk you through digital forensics on network traffic, host analysis, and memory analysis.

The course starts with network forensics, an important aspect of any investigation. You will learn to read, sort, and sniff raw packets and also analyze network traffic. These techniques will help you drive your host analysis. You will learn about tools you'll need to perform a complete investigation with the utmost efficiency in both Windows and GNU/Linux environments with Python. Next, you will learn more advanced topics such as viewing data in PE and ELF binaries. It's vital to analyze volatile memory during an investigation as it provides details about what is actually running on a given system. So, you will learn the best tools to obtain and analyze volatile memory images. Finally, you will learn how to use Python in order to think like an attacker. You will complete enumeration, exploitation, and data exfiltration.

By the end of the course, you will be able to make the most of Python processes and tackle varied, challenging, forensics-related problems. So, grab this course and think like an attacker!

About the Author

Daryl Bennett is a manager of a Cyberspace Threat Emulation team with the United States Air Force, where he leads military and civilian members in the employment and execution of offensive security on order to audit the security of network infrastructures. He is a key operator, focusing on risk analysis and the overall security posture of cyberspace systems. Additionally, he has 5+ years' experience working in the open-source community. He is a development specialist in a wide range of domains, including GNU/Linux applications, Android mobile, and autonomous systems. He is passionate about sustaining, developing, and implementing both current and new technologies, while practicing analytical problem-solving and learning as much as possible in the process.

Who this course is for:

  • If you are a practitioner, security professional, or someone who just wants to know about digital forensics, then this course is for you. You will learn new and innovative ways of solving common forensics tasks and upgrade your experience with Python.