Book Image

Learning Python for Forensics

By : Chapin Bryce
Book Image

Learning Python for Forensics

By: Chapin Bryce

Overview of this book

This book will illustrate how and why you should learn Python to strengthen your analysis skills and efficiency as you creatively solve real-world problems through instruction-based tutorials. The tutorials use an interactive design, giving you experience of the development process so you gain a better understanding of what it means to be a forensic developer. Each chapter walks you through a forensic artifact and one or more methods to analyze the evidence. It also provides reasons why one method may be advantageous over another. We cover common digital forensics and incident response scenarios, with scripts that can be used to tackle case work in the field. Using built-in and community-sourced libraries, you will improve your problem solving skills with the addition of the Python scripting language. In addition, we provide resources for further exploration of each script so you can understand what further purposes Python can serve. With this knowledge, you can rapidly develop and deploy solutions to identify critical information and fine-tune your skill set as an examiner.
Table of Contents (24 chapters)
Learning Python for Forensics
Credits
About the Authors
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
Index

Summary


This chapter focused on interacting with the various Windows APIs to capture information at the operating system level via the design and implementation of a keylogger. Through this exploration, you learned how screenshots are formed, where keyboard events are passed, methods to access the clipboard, and information available about processes on the system. Though this code may appear different than other chapters, it greatly expands the number of libraries we are exposed to, increasing the number of resources available to us as examiners. Visit https://packtpub.com/books/content/support to download the code bundle for this and all previous chapters.

In the next chapter, we will explore how to parse PST files, which are email archives containing a wealth of information. We will take parsed raw data from these PSTs and create informative graphics in a convenient HTML report.