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Python Digital Forensics Cookbook

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

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781783987467
Length 412 pages
Edition 1st Edition
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Authors (2):
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Chapin Bryce Chapin Bryce
Author Profile Icon Chapin Bryce
Chapin Bryce
Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
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Toc

Table of Contents (11) Chapters Close

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

Using HTML templates

Recipe Difficulty: Easy

Python Version: 2.7 or 3.5

Operating System: Any

HTML can be an effective medium for a report. There are a great number of snazzy templates out there that can make even technical reports look appealing. That's the first step towards hooking the audience. Or, at the very least, a preventative measure to forestall the audience from instantly nodding off. This recipe uses one such template and some test data to create a visually compelling example of acquisition details. We really have our work cut out for us here.

Getting started

This recipe introduces HTML templating with the jinja2 module. The jinja2 library is a very powerful tool and has a number of different documented features...

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