For us, this year has been extremely replete with all sorts of developments in desktop, mobile and cloud forensics. We are proud with our achievements and want to share with you. Let’s have a quick look at what we’ve achieved in the year 2019.

Today’s smartphones and wearable devices collect overwhelming amounts of data about the user’s health. Health information including the user’s daily activities, workouts, medical conditions, body measurements and many other types of information is undoubtedly one of the most sensitive types of data. Yet, smartphone users are lenient to trust this highly sensitive information to other parties. In this research, we’ll figure out how Apple and Google as two major mobile OS manufacturers collect, store, process and secure health data. We’ll analyze Apple Health and Google Fit, research what information they store in the cloud, learn how to extract the data. We’ll also analyze how both companies secure health information and how much of that data is available to third parties.

Health data is among the most important bits of information about a person. Health information is just as sensitive as the person’s passwords – and might be even more sensitive. It is only natural that health information is treated accordingly. Medical facilities are strictly regulated and take every possible security measure to restrict access to your medical records.

Heartrate, sleeping habits, workouts, steps and walking routines are just a few things that come to mind when we speak of Apple Health. Introduced in September 2014 with iOS 8, the Apple Health app is pre-installed on all iPhones. The app makes use of low-energy sensors, constantly collecting information about the user’s physical activities. With optional extra hardware (e.g. Apple Watch), Apple Health can collect significantly more information. In this article we’ll talk about the types of evidence collected by Apple Health, how they are stored and how to extract the data. (more…)