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You're reading from Python Digital Forensics Cookbook Effective Python recipes for digital investigations

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781783987467

Length 412 pages

Edition 1st Edition

Languages

Python

Tools

SQLite

Concepts

Forensics

Authors (2):

Chapin Bryce

Preston Miller

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Table of Contents (11) Chapters

Preface

1. Essential Scripting and File Information Recipes FREE CHAPTER

2. Creating Artifact Report Recipes

3. A Deep Dive into Mobile Forensic Recipes

4. Extracting Embedded Metadata Recipes

5. Networking and Indicators of Compromise Recipes

6. Reading Emails and Taking Names Recipes

7. Log-Based Artifact Recipes

8. Working with Forensic Evidence Container Recipes

9. Exploring Windows Forensic Artifacts Recipes - Part I

10. Exploring Windows Forensic Artifacts Recipes - Part II

Getting a jump start with IEF

Recipe Difficulty: Easy

Python Version: 3.5

Operating System: Any

This recipe will act as a quick means of dumping all reports from IEF to a CSV file and an introduction to interacting with IEF results. IEF stores data in a SQLite database, which we explored rather thoroughly in Chapter 3, A Deep Dive into Mobile Forensic Recipes. As IEF can be configured to scan specific categories of information, it is not so simple as dumping out set tables for each IEF database. Instead, we must determine this information dynamically and then interact with said tables. This recipe will dynamically identify result tables within the IEF database and dump them to respective CSV files. This process can be performed on any SQLite database to quickly dump its contents to a CSV file for review.

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Authors (2)

Chapin Bryce

Chapin Bryce is a senior consultant at a global firm that is a leader in digital forensics and incident response investigations. After graduating from Champlain College, with a bachelor's degree in computer and digital forensics, Chapin dove into the field of digital forensics and incident response joining the GIAC advisory board and earning four GIAC certifications: GCIH, GCFE, GCFA, and GNFA. As a member of multiple ongoing research and development projects, he has authored several books and articles in professional and academic publications, including Python Digital Forensics Cookbook (2018 Digital Forensics Book of the Year, Forensic 4Cast), Learning Python for Forensics First Edition, and Digital Forensic Magazine.

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Miller

Preston Miller is a consultant at an internationally recognized risk management firm. Preston holds an undergraduate degree from Vassar College and a master's degree in digital forensics from Marshall University. While at Marshall, Preston unanimously received the prestigious J. Edgar Hoover Foundation's scientific scholarship. Preston is a published author, recently of Python Digital Forensics Cookbook, which won the Forensic 4:cast Digital Forensics Book of the Year award in 2018. Preston is a member of the GIAC advisory board and holds multiple industry-recognized certifications in his field.

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