Android Wear Smartwatch Forensics – Detailed Analysis Done
The expanse of Android usage, the open-source mobile Operating System, is widening every year with new innovations. It started by turning mobile phones into ‘Smartphones’ and today has reached a point where the regular wrist watches are turned into ‘Smart Watches’. Android Wear is the new big thing in the gadget arena that is tempting not just the technology enthusiast but also the geeks and developers around the world. Everybody just wants to explore it, though the ways and motives are a little different for each. Therefore, in this article, we are discussing the Android Wear Smartwatch Forensics.
Android Wear and Its Origin – Android Smartwatch Forensics
Innovated to cut short our unremitting usage of phones, for the so-called purpose of keeping a tab on the notifications. Android Wear allows you to check notifications at a glimpse. All that one has to do is keep the device connected to their smartphone via Bluetooth connection and keep the activities synched on both the ends with Android Wear App.
Most of the Android Wear functioning is dependent upon the smartphone, with which it has to remain connected all the time.
- You need a smartphone with Android version 4.3 (Jellybean) or above to use the wear.
- Bluetooth connectivity at all times is required to keep the devices synced.
- The Wear uses an internet connection that is used by the connected smartphone to keep applications updated & connected.
A Dig into the Android Wear – Smartwatch Forensics
Android Wear may be a new innovation but isn’t completely a new concept. Databank CD by Casio was one of the first digital watches introduced in the era of 1980s, with stunning facilities like; data storage (email address, phone numbers, etc.), alarm, calculator, and more. Android Wear could be designated as the evolved version of it.
However, the facilities and functioning of a smartwatch are way different and more advanced than that of a Databank. In order to study the same for a better understanding of its working and storage, a thorough examination is necessary.
Thus, we will be applying digital forensic sciences for analyzing what all information could possibly be gathered from the Wear alone. just in case the device is missing or wasn’t retrieved from the scene.
For instance, a Wear is discovered from the scene while its paired phone isn’t. Thus, a dig has to be taken into its mechanism by applying digital forensics; to discover which smartphone did the device belong to or was associated with.
Stage One: Initializing the Investigation
Ultimately, Android Wear OS belongs to the Android OS family only, i.e. it is still Linux base. Thus, getting into its system data and performing Android Wear smartwatch forensics is almost the same as on any Android smartphone/tablet would be.
Rooting and Connecting the Device
Practically getting into the device is only possible if you root the device and provide its access to the computer. That means, both of them must be able to communicate and access to root folders must be owned. For that one needs to enable the following options and follow the rest of the procedures that fall in the way. In our case we have used a Sony Smartwatch3 (SWR50):
- Developer options
- ADB Debugging
To enable Developer Options on the watch:
- Tap on the watch to view the list of options
- Scroll down to locate About
- Tap on it
- Scroll to find Build Number and tap on it multiple times.NOTE: A countdown on the screen will tell how many more taps the Developer Options will be enabled.
- Once enabled, swipe back to go to the list of options and tap on Developer Options where debugging can be enabled.
NOTE: Usually an RSA key is sent to the paired device (phone) for enabling debugging on the smartwatch. However, in our case the watch had been acquired without its paired device thus, it was factory reset to avoid this hurdle. Doing this took the device to its original system state.
Prerequisites of Sony Smartwatch Forensics Analysis
The Wear is all set to communicate with the computer via ADB, (part of the Software Development Kit by Android). Fulfilling a few more conditional requirements will completely prepare the device for a thorough Android Wear forensics analysis.
Condition 1: If you don’t have Android SDK, it has to be downloaded and installed on the machine to proceed further with the investigation that requires ADB Shell usage.
Condition 2: When developing or trying to get internal access to an Android-based device on a Windows machine not only do you need ADB but the correct USB driver also needs to be installed on the machine.
Different OEM’s (Original Equipment Manufacturers) support different drivers. Thus, it is advised that a universally supported ADB driver be installed instead, to avoid conflict. Once installed, the machine must be rebooted.
The device is now ready to be connected. Establish a connection between the Wear and computer using a USB cable and do the following:
- Open the Command Prompt
- Type: adb devicesNOTE: At this point, usually an error may be generated if the device wasn’t factory reset. Because otherwise authenticating the RSA key sent to the paired device is necessary which is, in our case, not possible.
- Once the device displays a serial number, it means that everything is going well.
- Reboot Wear.
Check whether the bootloader is unlocked or not and if found locked, unlock it. Just remember that the device will erase entire User Data from the device just like it does on a phone/tablet. Later, you can flash (upgrading the device functionalities beyond its default build potential) the device to customize its specifications and potential. However, there are chances that the device may go into a Brick mode which is the worst that can happen as the state is unrecoverable.
Evidence Validation & Imaging
On executing the ‘df’ command on ADB Shell, directories of the device will get listed consisting of the following:
As part of every investigation process, the analysis of original/primary data is never performed. Thus, imaging has to be done of the highlighted directories, i.e. directories important from the investigative point of view.
To be on the safer side, every time imaging is done, a hash value of the evidence must be generated both; before and after the process, just so that its authenticity is validated.
NOTE: Keep the device in write protected mode to avoid writing new data or rewriting existing data on the device, as it would be considered tampering with the evidence.
Here, we are using the Cat command, meant for Unix-like OS, to display the memory blocks on the system. However, the items will appear in a manner that may not be comprehensible for distinguishing purposes. To change the order of listing by name, execute the command:
Now, to begin with, the imaging process of respective directories denoted earlier as important, run the following ‘dd’ command on ADB Shell (as instructed):
Here, the MountingPoint will be the developer block that has to be imaged. The destination path would be the location at which you want the image to be saved, partition type is the type of partition that you are imaging in the process, and the block size, i.e. the size mentioned in the respective block you are imaging.
Ready, Steady, Trace!
Once the forensic images of desired memory blocks have been generated. The procedure of analysis on the respective .img files can begin.
Second Stage of Sony Smartwatch Forensics: Parsing Android Wear Data
As per the study conducted till now, two of the most important facts that have been gathered are:
- Location Access: Accessing the Directory Folders of the Wear via ADB shell is a possible and conventional method of analyzing the device data.
Communication Channels: A person can easily attack the device by intercepting it via communication channels on which it basically works, i.e. NFC (Near Field Communication) or Bluetooth. This could provide anyone with unauthorized access to vital and extremely private information/data exchanged over the device and paired smartphone. Many of the popular methods and utilities to carry out such an attack are usually available for free.
In the following section, we will begin traversing directories of the Android Wear System via its forensic image as part of continuing the investigation.
Android Wear User Data Forensic Image Examination
The thing with Android Wear is that it cannot store any application individually on its system. The process requires the application to first be downloaded on the paired smartphone. And then be synced by downloading a copy of the app on the device. Also, there are only a limited number of basic health-based applications that can be installed on the Wear. Chat messenger, gaming, email, or other such major applets can only be synced with the device and not installed or used on it.
Therefore, a very minute part of the complete data can be captured from the device. Which actually resides on the smartphone. This is because; the device was synced with the phone and received all possible app notification alerts. That was compatible with it (WhatsApp, Gmail, Facebook, etc.).
Image analysis applications can be used in the process like; FTK Imager or Scalpel, to mount and parse the forensic image of directories. We have used the latter to mount the image and extract the SQLite Database of the same.
This memory block consists of information that is entirely related to the device’s system. This included: applications that were installed, fonts that were set by default, the framework, applications that came from the manufacturer, etc.
The memory block name can be used to find out which one is storing the system image information. And then the command to list all directories can be executed. There you can find minute particulars about the system which includes the file system, and directories like; app (application), bin (stores basic command along with system files information), Bluetooth (stores config files for device list that are auto-paired, vendor, stack, and did), etc.
Although, a smartwatch isn’t programmed in a way that it could store much data on it. But, it still is one of the most important folders of Android Wear OS, just like it is in Android OS forensics. All the data that is stored, if stored, is in database format. It is a sqlite3 DB file and thus, it clearly has a shared preference folder too consisting of config file belonging to all the applications which include the following folders; calendar, gms, contacts, media, and settings. Each of these folders consists of respective information that is gathered from the same application on the paired device. For instance, a calendar folder would be storing all the events, alarms, important calendar dates, etc. Marked on the calendar of the paired device that is synced with the Android Wear for notifying the user.
Cache, as already known is the data stored by the system, associated with an application so that future requests are handled quickly. The data is usually the replica of existing data or the result of a computation performed in the past. In the case of Android Wear as well, the data serves the same purpose.
Thus, in the cache memory block image, we discovered a fab entry that is used for specifying partitions and devices or where & how to use partitions on a device, along with information about the file system in use. Therefore, it sums up to be very significant information storing the file. On further exploration, the findings resulted in discovering that also recovery information, partition logs, and their recovery information, etc., also got stored in it. Apart from that, information related to last_log, last_install, etc., proved quite beneficial for tracking purposes.
In addition to this, the unallocated spaces in the cache gathered log file information that the log file is copied or converted as last_log.
The stages implemented, if carefully followed along with suggested precautions, majorly facilitate exploring Android Wear smartwatch & carving out information from the device. Though the information found was scattered in different memory blocks. But collectively they held large importance in discovering the paired device. In addition to that, activities of the paired device were also discoverable by looking into the system directories of the smartwatch. Though it doesn’t store the complete data as is the partial information associated proved helpful in linking things up. Belonging to the Android family made the Android Wear smartwatch forensics examination a lot more familiar though there are some obstacles, however, they were tackled tactfully. Readers are suggested to leave any and all queries related to the blog, and they will be entertained as soon as possible. Note that the procedure is strictly for informational purposes. As not many are yet aware of parsing a smartwatch and its memory, storage, etc.