Heat attack.. when our body heat is used to hack us electronically
Thermal attack is a new term in an old world. The password is a private matter for each user to maintain their privacy and security, but there are some people who have devised cunning methods to reveal users’ passwords and hack their privacy; Such as simple methods such as eavesdropping or spying, and technical methods such as fake pages and viruses, or using certain tools such as "Flash Ripper" to steal passwords, until sensitive technical tools were combined with machine learning techniques to create what is known as a "heat attack". What is a heat attack?
Thermal attack is a process that targets keyboards, touch screens, and buttons to learn the entered passwords by the thermal effect left on them; The finger leaves a thermal imprint when it touches the screen or buttons, and this fingerprint is detected by the thermal camera, as it remains visible for 60 seconds after contact.
The researchers found that keys that were recently touched appear brighter; Which enables the identification of the sequence of numbers, letters, or even symbols that make up the password, and with this simplicity, passwords can be exposed and stolen, so what if artificial intelligence was used in this process?
Artificial intelligence and heat attack
Computer security specialists have developed a system that is able to guess the passwords of computer and smartphone users in seconds, and this technology works by analyzing the effects of heat left by fingers on keyboards and screens, and they trained an artificial intelligence model to read images effectively and make guesses about passwords in order to phish them. .
The "ThermoSecure" system is one of the most famous systems that rely on artificial intelligence to guess passwords, and access them through thermal images that were photographed in a period between 30 and 60 seconds after the finger touched the surface to be photographed.
This system was developed by a number of researchers from the University of Glasgow to demonstrate how lower prices for thermal cameras and increased access to machine learning and artificial intelligence techniques; lead to new risks.
Through studies conducted by a number of researchers, they found that ThermoSecure system was able to detect 86% of passwords when capturing thermal images within 20 seconds, 76% within 30 seconds, and reduced to 62% after 60 seconds of entering the information.
