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Recent studies have shown that aggregate CPU usage and power consumptiontraces on smartphones can leak information about applications running on thesystem or websites visited. In response, access to such data has been blockedfor mobile applications starting from Android 8. In this work, we explore a newsource of side-channel leakage for this class of attacks. Our method is basedon the fact that electromagnetic activity caused by mobile processors leads tonoticeable disturbances in magnetic sensor measurements on mobile devices, withthe amplitude being proportional to the CPU workload. Therefore, recordedsensor data can be analyzed to reveal information about ongoing activities. Theattack works on a number of devices: we evaluated 80 models of modernsmartphones and tablets and observed the reaction of the magnetometer to theCPU activity on 56 of them. On selected devices we were able to successfullyidentify which application has been opened (with up to 90% accuracy) or whichweb page has been loaded (up to 91% accuracy). The presented side channel posesa significant risk to end users' privacy, as the sensor data can be recordedfrom native apps or even from web pages without user permissions. Finally, wediscuss possible countermeasures to prevent the presented information leakage.

MagneticSpy: Exploiting Magnetometer in Mobile Devices for Website and Application Fingerprinting