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Python Digital Forensics Cookbook

You're reading from  Python Digital Forensics Cookbook

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781783987467
Pages 412 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Chapin Bryce Chapin Bryce
Profile icon Chapin Bryce
Preston Miller Preston Miller
Profile icon Preston Miller
View More author details

Table of Contents (11) Chapters

Preface 1. Essential Scripting and File Information Recipes 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

Parsing PST and OST mailboxes

Recipe Difficulty: Hard

Python Version: 2.7

Operating System: Linux

The Personal Storage Table (PST) file is commonly found on many systems and provides access to archived email. These files, generally associated with the Outlook application, contain message and attachment data. These files are commonly found in the corporate setting, as many business environments continue to leverage Outlook for internal and external email management.

Getting started

This recipe requires the installation of the libpff, and its Python bindings, pypff, to function. Available on GitHub, this library provides tools, and Python bindings, to handle and extract data from PST files. We will set up this library in Ubuntu...

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