Tag Archives: Apple

Wearable Forensics Blog 4

Forensic Analysis of Wearable Technology Previously, the Leahy Center for Digital Investigations Wearables Team posted a third blog about their research, specifically pertaining to the Samsung Galaxy Watch and the Fitbit Versa. For the remainder of the semester, the team will be investigating the Garmin Fenix 5 and the Apple Watch Series 4. This week, […]

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Wearable Forensics Team Blog 3

Forensic Analysis of Wearable Technology Previously, the Leahy Center for Digital Investigations Wearables Team posted in their second blog about their progress this semester with the Samsung Galaxy Watch, the Fitbit Versa, the Garmin Fenix 5, and the Apple Watch Series 4. A Second Datagen The team decided it would be a good call to […]

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Wearable Forensics Update

Forensic Analysis of Wearable Technology If you haven’t already read the Wearables Team’s first blog, read it here. The team is researching the capabilities and evidence left from wearable technology, in particular four devices: the Samsung Galaxy Watch, the Fitbit Versa, the Garmin Fenix 5, and the Apple Watch Series 4. Datagen When the team […]

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Wearable Forensics

Smart Watches Can Solve Crimes This semester, The Senator Patrick Leahy Center for Digital Investigation at Champlain College (LCDI) is continuing research from the spring of 2016 about wearable technology and the impact devices like the Apple Watch and Fitbit have on forensic investigations. The team hopes to create a guide law enforcement and forensic […]

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Nexus LG smartphone and Apple iPad

Mobile App Analysis Part 2

Introduction  Over the last few weeks, the Mobile Application Forensics team has been working on researching and analyzing Open Whisper’s Signal on the iPhone and Android device. We split into two teams to divide and conquer the application on two different mobile operating systems. The Android team tackled a Nexus 5x and the iOS team […]

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Mac Forensics Report OS X El Capitan

Mac Forensics Report Official Release

mac forensics report is complete In the Mac Forensics report, the team at the LCDI looked at operating systems for Macs and tried to determine what artifacts can be collected and where their default locations can be found. Then they compared the two main operating systems: OS X and El Capitan. background information Last year […]

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OS X and iOS Handoff Introduction

Introduction During the 2014 Apple WorldWide Developers Conference, Apple announced a new feature available with iOS 8 and OS X 10.10 (Yosemite) known as Handoff. This new feature allows a user to transfer their activity from their iPhone to their Mac, or vice-versa, almost instantaneously. These activities include browsing the web, email, writing a note, […]

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Apple

Using Elcomsoft iOS Toolkit with an iPhone

We have been tasked with testing Elcomsoft’s iOS Toolkit for the Burlington Police Department. We are going to be testing the software on an iPhone 3GS, iPhone 4, and iPhone 5. iOS Forensic Toolkit is a tool that performs an acquisition of user and/or file system data store in iPhone, iPads, and iPod devices running almost […]

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iPhone Siri voice assistant

Siri Project Preparations

Because I have been away at the CEIC conference, I have decided to use my limited time this week on setting up everything I need for the Siri project before jumping into it. This post will give an explanation of the setup for the project. At the Senator Patrick Leahy Center for Digital Investigations we […]

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iPhone Siri voice assistant

New Perspective on Siri Forensics

Since its release in 2007, the iPhone has been extremely popular. Sales have especially increased within the past three years. With its growing popularity and larger user population, there is a greater chance of coming across a case which involves forensically examining an iPhone.

Siri is a personal assistant function on the newer iPhones First being released on the iPhone 4S, it was made with a friendly interface where the user simply asks a question and Siri answers. The ability to properly analyze Siri could provide evidence based on the questions the user asks. Continue reading