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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

Beautiful Soup

Recipe Difficulty: Medium

Python Version: 3.5

Operating System: Any

In this recipe, we create a website preservation tool leveraging the Beautiful Soup library. This is a library meant to process markup languages, such as HTML or XML, and can be used to easily process these types of data structures. We will use it to identify and extract all links from a web page in a few lines of code. This script is meant to showcase a very simplistic example of a website preservation script; it is by no means intended to replace existing software out there on the market.

Getting started

This recipe requires the installation of the third-party library bs4. This module can be installed via the following command. All other libraries...

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