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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

Mining for PDF metadata

Recipe Difficulty: Easy

Python Version: 2.7 or 3.5

Operating System: Any

While PDF documents can represent a wide variety of media, including images, text, and forms, they contain structured embedded metadata in the Extensible Metadata Platform (XMP) format that can provide us with some additional information. Through this recipe, we access a PDF using Python and extract metadata describing the creation and lineage of the document.

Getting started

This recipe requires the installation of the third-party library PyPDF2. All other libraries used in this script are present in Python's standard library. The PyPDF2 module provides us with bindings to read and write PDF files. In our case, we will only...

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