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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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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

Putting Wi-Fi on the map

Recipe Difficulty: Medium

Python Version: 3.5

Operating System: Any

Without a connection to the outside world, mobile devices are little more than an expensive paperweight. Fortunately, open Wi-Fi networks are everywhere, and sometimes a mobile device will connect to them automatically. On the iPhone, a list of Wi-Fi networks the device has connected to is stored in a binary PLIST named com.apple.wifi.plist. This PLIST records, among other things, the Wi-Fi SSID, BSSID, and connection time. In this recipe, we will show how to extract Wi-Fi details from a standard Cellebrite XML report or supply Wi-Fi MAC addresses in a newline-delimited file. As the Cellebrite report formats may evolve over time, we are basing our XML parsing on a report generated with UFED Physical Analyzer version 6.1.6.19.

WiGLE is an online searchable repository of, at the time of...

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