Audio fingerprinting being used to track web users, study finds

A wide-scale study of online trackers carried out by researchers at Princeton University has identified a new technique being used to try to strip web users of their privacy, as well as quantifying the ongoing usage of some better-known tracking techniques.The new technique unearthed by the study is based on fingerprinting a machine’s audio stack via the AudioContext API. So it’s not collecting sound played or recorded on a machine but rather harvesting the audio signature of the individual machine and using that as an identifier to track a web user. They write: In the simplest case, a script from the company Liverail checks for the existence of an AudioContext and OscillatorNode to add a single bit of information to a broader fingerprint. More sophisticated scripts process an audio signal generated with an OscillatorNode to fingerprint the device. This…


Link to Full Article: Audio fingerprinting being used to track web users, study finds