Scientists have discovered a new AI-driven hacking method that guesses passwords with over 90 per cent accuracy by listening to what people type on their keyboard. The cyberattack works by using AI to learn and recognise the sound profile of different keys on a keyboard, according to the yet-to-be peer-reviewed research, posted as a preprint in arXiv. Using a smartphone-integrated microphone listening for keystrokes on an Apple MacBook Pro, researchers, including Joshua Harrison from Durham University in the UK, could reproduce the exact keys with 95 per cent accuracy. Scientists also tested the accuracy of the AI system during a Zoom call, recording the keystrokes using the laptop’s microphone during a meeting. In this approach, the AI model was found to 93 per cent accurate in reproducing the keystrokes and in another test using Skype, the model was found to be about 92 per cent accurate. Researchers say the new cyberattack method is facilitated by advancements over the last decade in the number of microphones within acoustic range of keyboards. The model works by recognising the unique patterns with which users press keys on their keyboard, including the sound, the intensity and time of each keystroke. Researchers used a MacBook Pro to test the concept, helping the system recognise patterns first by pressing 36 individual keys 25 times a piece. They used an iPhone 13 mini, kept 17 cm away from the keyboard, to record the keystroke audio for their first test. They then recorded the laptop keys over Zoom, using the MacBook’s built-in microphones. This new technique using the trio of AI, microphones, and video calls “present a greater threat to keyboards than ever,” scientists warn in the study. “When trained on keystrokes recorded by a nearby phone, the classifier achieved an accuracy of 95 per cent, the highest accuracy seen without the use of a language model,” scientists write in the study. However, scientists say the AI system does not easily work the same way for every keyboard. They say the AI model must be trained separately for each keyboard, providing additional references to understand what character each keystroke corresponds to. The study says people can mitigate these kinds of attacks if they change their typing style. Scientists found that touch typing reduced the keystroke recognition accuracy from between 64 per cent to 40 per cent. They also recommend the use of randomised passwords featuring multiple cases as means of defence against such attacks. Since large language models such as ChatGPT are able to predict succeeding characters to complete words, scientists say passwords containing full words may be at greater risk. Randomly generated fake keystrokes to transmitted audio was also found to reduce the risk of such password theft. Using biometric password like fingerprint or face scanning instead typed ones can also help mitigate risk of such cyber attacks, researchers say. Read More Hackers crack Tesla software to get free features Famed computer hacker Kevin Mitnick dies at age 59 Stolen ChatGPT accounts for sale on the dark web Nuclear fusion milestone achieved in huge boost for near-limitless clean energy Tesla’s ‘Master of Coin’ is stepping down after 13-year stint at EV company Now even Zoom tells staff: ‘Come back to the office’

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Our understanding of the Sun may have completely changed after astronomers calculated that it might not be quite as big as we thought it was. The Sun is so powerful that it can disrupt the Earth’s magnetic field giving us the Northern Lights. It also continually baffles scientists, as one recent discovery found that part of the Sun is broken. Now, experts have discovered that the Sun may be a bit smaller than everyone thought, which could alter how we think of the star at the centre of our universe. Two astronomers made the calculation that the radius of the Sun is smaller, by a few hundredths of a per cent, than originally believed. The results, which are being peer-reviewed, are based on evidence gathered from sound waves that are made and trapped inside the burning hot sun. These sound waves are known as p-modes and they make noise like a growling stomach, suggesting a pressure change in the Sun’s interior. Analysing p-mode oscillations offers a “dynamically more robust” understanding of the Sun’s insides, according to astrophysicists Masao Takata from the University of Tokyo and Douglas Gough from Cambridge University. According to their research using evidence from p-modes, the solar photospheric radius is fractionally smaller than calculations made using the traditional reference model for the Sun’s seismic radius that analyses waves called f-modes. The reason for this difference is not very well understood. Astrophysicist Emily Brunsden told New Scientist: “To understand the reason for their difference is tricky because there’s just a lot of things going on.” How to join the indy100's free WhatsApp channel Sign up to our free indy100 weekly newsletter Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

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