Tag Archives: iPhone

iOS 9 Jailbreak Black and White iPhones

iOS9 Jailbreak Introduction

Introduction to ios9 jailbreak This semester, the LCDI will be investigating various jailbreaking methods available for iOS 9. The team’s focus will be to determine what useful forensic artifacts are recoverable through an iOS9 Jailbreak device. The process will include comparing recoverable data before a jailbreak to the recovered data after jailbreaking the phone. The […]

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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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Six iPhones on a wooden table three white and three black

iPhone Artifact Comparison Part 3

Initial findings Since our last posting, we have officially finished generating data and imaging the iPhone 3gs and iPhone 4. Over the next couple of weeks, we will finish generating data with the iPhone 5 and begin comparing where the various application files are stored on the three different iPhones. This week we began looking […]

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Six iPhones on a wooden table three white and three black

iPhone Artifact Comparison Part 2

Methodology and Methods We’ve just finished working with the iPhone 3gs for our iPhone Artifact Comparison project. We started off by factory resetting the phone and installing all the applications that were said to be supported by Cellebrite.  After installing 25 applications, some of which required a working phone number to use, we chose to […]

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Six iPhones on a wooden table three white and three black

iPhone Artifact Comparison: Introduction

This semester we will be working on a project which compares the iPhone 3GS, the iPhone 4, and the iPhone 5. The goal of this project is to find the location of where various artifacts are stored on the devices and how they differ from device to device. We will be generating data on the […]

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