New AI Model Can Intercept Passwords by Analyzing Keyboard Sounds

A cutting-edge artificial intelligence (AI) model has been developed by a group of computer scientists in the UK to recognize the unique sounds produced by a keyboard. The team of experts, hailing from Durham University, the University of Surrey, and the Royal Holloway University of London, conducted the research using a 2021 MacBook Pro, which they described as a widely used laptop available on the market.

The AI model’s capabilities have raised concerns about potential misuse by hackers. According to a study reported by Cornell University, this advanced tool could be leveraged to steal user passwords with remarkable accuracy. By “listening” to a person’s keystrokes in unsuspecting scenarios, the AI model can pilfer their login credentials. In one test, the AI program successfully replicated a typed password with an accuracy rate of 95% when used on a nearby smartphone. The researchers even discovered that the AI model could effectively capture keystrokes via the laptop’s microphone during a Zoom video conference, achieving an accuracy rate of 93%.

This form of attack is known as an acoustic side-channel attack. In such scenarios, hackers exploit the unique audio signals generated while someone types to gain unauthorized access to their accounts. The researchers emphasized that many users remain unaware of the risks associated with such attacks. The prevalence of keyboard sounds makes them an easily accessible avenue for malicious actors, and individuals often underestimate the potential threat they pose.

To assess the AI model’s accuracy, the researchers conducted tests by pressing 36 keys on the laptop multiple times, varying the pressure and use of different fingers with each press. These intentional diversions aimed to confuse the model. However, the AI program proved adept at identifying key elements of each keystroke, such as sound wavelengths, thus demonstrating its effectiveness.

As technology continues to advance, it becomes increasingly important for users to be mindful of potential vulnerabilities. Understanding the risks associated with the acoustic side-channel attacks can help individuals take proactive steps to safeguard their private information.

Frequently Asked Questions (FAQ)

What is an acoustic side-channel attack?

An acoustic side-channel attack is a method employed by hackers to breach user accounts by monitoring the unique audio signals emitted when someone types on a keyboard. By analyzing these sounds, sensitive information such as passwords can be intercepted.

How does the AI model steal passwords?

The AI model “listens” to the acoustic emanations produced by a keyboard or microphone during activities like typing or participating in a video conference. By analyzing these sounds, the model can accurately reproduce the keystrokes, including passwords, with a high level of precision.

How accurate is the AI model in capturing keystrokes?

During testing, the AI model demonstrated impressive accuracy. When used on a nearby smartphone, it was able to replicate typed passwords with 95% accuracy. In the case of capturing typing sounds through a laptop’s microphone in a Zoom video conference, the accuracy rate was 93%.

What precautions can individuals take to protect themselves from such attacks?

To minimize the risk of falling victim to acoustic side-channel attacks, individuals can take several precautions. These include using noise-cancelling keyboards, employing privacy screens, and being mindful of the audible sounds they generate while typing sensitive information. Additionally, regularly updating software and using strong, unique passwords can also help mitigate the potential impact of such attacks.

*Note: The source article is not provided, so the link is omitted.

Subscribe Google News Channel