Chapin Bryce - Learning Python for forensics : learning the art of designing, developing, and deploying innovative forensic solutions through Python
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- Book:Learning Python for forensics : learning the art of designing, developing, and deploying innovative forensic solutions through Python
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Learn the art of designing, developing, and deploying innovative forensic solutions through PythonAbout This Book*This practical guide will help you solve forensic dilemmas through the development of Python scripts*Analyze Python scripts to extract metadata and investigate forensic artifacts*Master the skills of parsing complex data structures by taking advantage of Python librariesWho This Book Is ForIf you are a forensics student, hobbyist, or professional that is seeking to increase your understanding in forensics through the use of a programming language, then this book is for you.You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding of examiners who wish to learn programmingWhat You Will Learn*Discover how to perform Python script development*Update yourself by learning the best practices in forensic programming*Build scripts through an iterative design*Explore the rapid development of specialized scripts*Understand how to leverage forensic libraries developed by the community*Design flexibly to accommodate present and future hurdles*Conduct effective and efficient investigations through programmatic pre-analysis*Discover how to transform raw data into customized reports and visualizationsIn DetailThis 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. Read more...
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Learn the art of designing, developing, and deploying innovative forensic solutions through PythonAbout This Book*This practical guide will help you solve forensic dilemmas through the development of Python scripts*Analyze Python scripts to extract metadata and investigate forensic artifacts*Master the skills of parsing complex data structures by taking advantage of Python librariesWho This Book Is ForIf you are a forensics student, hobbyist, or professional that is seeking to increase your understanding in forensics through the use of a programming language, then this book is for you.You are not required to have previous experience in programming to learn and master the content within this book. This material, created by forensic professionals, was written with a unique perspective and understanding of examiners who wish to learn programmingWhat You Will Learn*Discover how to perform Python script development*Update yourself by learning the best practices in forensic programming*Build scripts through an iterative design*Explore the rapid development of specialized scripts*Understand how to leverage forensic libraries developed by the community*Design flexibly to accommodate present and future hurdles*Conduct effective and efficient investigations through programmatic pre-analysis*Discover how to transform raw data into customized reports and visualizationsIn DetailThis 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
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Copyright 2016 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the authors, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: May 2016
Production reference: 1250516
Published by Packt Publishing Ltd.
Livery Place
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Birmingham B3 2PB, UK.
ISBN 978-1-78328-523-5
www.packtpub.com
Authors
Preston Miller
Chapin Bryce
Reviewer
Sachin Raste
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Preston Miller is a consultant at an internationally recognized firm that specializes in cyber investigations. Preston holds an undergraduate degree from Vassar College and a master's degree in digital forensics from Marshall University, where he was the recipient of the J. Edgar Hoover Scientific Scholarship for academic excellence. While studying in a graduate school, Preston conducted classes on Python and Open Source Forensics. Preston has previously published his research on Bitcoin through Syngress.
Preston is experienced in conducting traditional Digital Forensic investigations, but specializes in Physical Forensics. Physical Forensics is a subset of Digital Forensics, which involves black box scenarios where data must be acquired from a device by non-traditional means. In his free time, Preston contributes to multiple Python-based open source projects.
I would like to thank my wife, Stephanie, for her unwavering encouragement and love. I would also like to thank my family and friends for their support. I owe many thanks to Dr. Terry Fenger, Chris Vance, Robert Boggs, and John Sammons for helping me grow my understanding of the field and inspiring me to learn outside the classroom.
Chapin Bryce is a professional in the digital forensics community. After studying computers and digital forensics at Champlain College, Chapin joined a firm leading the field of digital forensics and investigations. In his downtime, Chapin enjoys working on Python scripts, writing, and skiing (weather permitting). As a member of multiple ongoing research and development projects, Chapin has authored several articles in professional and academic publications.
I want to thank all of my family and friends who have been incredibly supportive during the development of this book. A special thanks to my best friend and keeper of sanity, Alexa, who has helped tirelessly bring this exciting project together. Your unwavering support has made this possible. A warm thank you to my mother, father, sister, and the extended family who have supported me through the years and encouraged me to reach just a little further at every opportunity. I am also extremely grateful for the advice and guidance from my mentors, both professionally and academically, as I have grown in the field of forensics.
We would like to thank John Shumway, Hasan Eray Dogan, and J-Michael Roberts for their contributions to the book. We greatly appreciate their insight and expertise in all things forensics.
Sachin Raste is a leading security expert with over 18 years of experience in the field of network management and information security. With his team, he has designed, streamlined, and integrated networks, applications, and IT processes for some of the leading business houses in India, and he has successfully helped them achieve business continuity.
You can follow him through his Twitter ID @essachin. His past reviews include Metasploit Penetration Testing Cookbook and Building Virtual Pentesting Labs for Advanced Penetration Testing , both by Packt Publishing.
First and foremost, I'd like to thank my wife, my children, and my close group of friends, without whom everything in this world would have seemed impossible. I thank everyone at MalwareMustDie NPO, a group of white-hat security researchers who tackle malware, for their immense inspiration and support.
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To my wife, the love of my life, whose guidance, friendship, and love makes life all the sweeter. I love you, Stephanie. |
| -- Preston Miller |
To my mom and dad who have lovingly and tenaciously guided me at every turn and encouraged me to passionately strive for my dreams. |
| -- Chapin Bryce |
At the outset of writing Learning Python Forensics , we had one goal; teach the use of Python for forensics in such a way that readers with little to no programming experience could follow along immediately and develop practical code for use in casework. That's not to say that this book is intended for the Python neophyte; throughout we ease the reader into progressively more challenging code and end by incorporating each script into a forensic framework. This book makes a few assumptions about the reader's programming experience, and where it does, there will often be an Appendix section or a list of resources to help bridge the gap in knowledge.
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