After a string of burglaries, a suspect was apprehended at a house during an attempted burglary in a metropolitan Australian city. At the time of his arrest, the suspect had a mobile phone in his possession. The phone was secured by first responders and taken to the police station for examination.
Based on similarities between the attempted burglary and the other burglaries in the area, investigators suspect the man arrested is also responsible for the other burglaries. The department had a high-tech unit specializing in digital device analysis with a 3-month backlog for examination. The department also had Mobilyze, simple, user-friendly mobile device acquisition and analysis software which investigators have been trained to use. Investigators are able to use Mobilyze to acquire the suspect’s Android mobile device without requesting assistance from their high-tech unit.
A full data collection is performed with Mobilyze and the mobile digital is examined. As the addresses of the previous burglaries are known, data containing geolocation data is focused on. Specifically, FourSquare Swarm data is filtered and searched. Using the Built-in Google Maps GPS in Mobilyze, investigators quickly compile data showing a timeline of the suspect’s movements. Date and time stamped data show the mobile device in location close to the previous burglaries.
Investigators in this case with limited training and minimal digital forensics experience were able to use Mobilyze to quickly acquire critical mobile evidence. Mobilyze was also used to analyze the evidence, tag relevant data, and generate a report. The suspect was then questioned regarding the other burglaries based on the timeline of geolocation data located on his mobile device.
Acquiring data from a device on-scene with Mobilyze.
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