This 'thermal attack' can read your password from the heat your fingertips leave behind

CyberTech

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Computer security researchers say they've developed an AI-driven system that can guess computer and smartphone passwords in seconds by examining the heat signatures that fingertips leave on keyboards and screens when entering data.

Called ThermoSecure, researchers at the University of Glasgow's School of Computing Science developed the system to show how the falling price of thermal-imaging cameras and increasing access to machine-learning and artificial intelligence (AI) algorithms are creating new opportunities for what they describe as thermal attacks.

By using a thermal-imaging camera to look at a computer keyboard, smartphone screen or ATM keypad, it's possible to take a picture that reveals the recent heat signature from fingers touching the device.

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HarborFront

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2 conditions need to be fulfilled

1) It must be very recent to detect the heat signatures. Immediately would be the best. The longer the time the heat signatures will equalize to normal room temperature
2) All the characters must be different, then the passing rate would be high. If you have duplicate/triplicate characters then the passing rate would be less
 
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