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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

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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