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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

Reading office document metadata

Recipe Difficulty: Medium

Python Version: 2.7 or 3.5

Operating System: Any

Reading metadata from office documents can expose interesting information about the authorship and history of those files. Conveniently, the 2007 formatted .docx, .xlsx, and .pptx files store metadata in XML. The XML tags can be easily processed with Python.

Getting started

All libraries used in this script are present in Python's standard library. We use the built-in xml library and the zipfile library to allow us access to the XML documents within the ZIP container.

To learn more about the xml library, visit https://docs.python.org/3/library/xml.etree.elementtree.html.
To Learn more about the zipfile library,...
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