Cerebrum: Mobile Passwords Lifted Acoustically with NASB


There are innumerable password hacking methods but recent advances in acoustic and accelerometer sensing have opened up the door to side-channel attacks, where passwords or other sensitive data can be extracted from the acoustic properties of the electronics and human interface to the device. A recent and dramatic example includes the hacking of RSA encryption  simply by listening to the frequencies of sound a processor puts out when crunching the numbers.

Now there is a new long-distance hack on the scene. The Cerebrum system represents a recent innovation in side-channel password attacks leveraging acoustic signatures of mobile and other electronic devices to extract password data at stand-off distances.

Research scientists at cFREG provide a compelling demonstration of the Cerebrum prototype. It uses Password Frequency Sensing (PFS), where the acoustic signature of a password being entered into an electronic device is acquired, sent up to the cloud, passed through a proprietary deep learning algorithm, and decoded. Demonstrations and technical details are shown in the video below.