By Darya Korsunskaya and Alexander Marrow (Reuters) -Yandex's Dutch holding company is considering selling all its Russian assets in one

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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’

Less than six years after launching in the US, TikTok is now facing a reckoning. After amassing more than 150 million users in the country, lawmakers are now making moves to roll out a complete ban. The biggest ever Chinese tech success in the US is accused of mishandling user data and holding too much influence over Americans, with Montana becoming the first state to sign a bill into law to make it illegal for TikTok to operate there from January 2024. Fears around national security have been countered with questions about censorship, with the Electronic Frontier Foundation describing the prospect of a ban as a “seed of genuine security concern wrapped in a thick layer of censorship”. The US digital liberties group has called on people to “resist a governmental power to ban a popular means of communication and expression”, while the FBI claims Chinese state ties to parent company ByteDance could allow the app to “manipulate content” in order to spread harmful propaganda. The US is not the first major market to consider a total ban of the social media platform, with India issuing a complete TikTok ban in 2020. Other countries and areas, including the EU, have put partial bans in place. Various federal and state TikTok bans are already in place in the US, banning government workers and military personnel from using the app on official devices. This has done little to stem its growth in the US, with TikTok proving to be the most popular app both in America and globally last year with 672 million total downloads. This has helped bring the total number of TikTok users around the world to above 1.5 billion, with only India’s ban nearly three years ago slightly slowing its growth – but only temporarily. Despite the warnings surrounding TikTok, the app is viewed positively by the majority of young users, which may cause the Biden administration to hesitate on ordering an outright ban given younger demographics typically skew towards voting Democrat. TikTok CEO Shou Zi Chew defended the app and its intentions when he appeared before Congress earlier this year. The former Facebook intern downplayed ties to the Chinese government while trying to convince members of Congress that the app is safe for US users and poses no threat to national security. After Montana signed a TikTok ban into law on 17 May, 2023, a TikTok spokesperson said that the company would “work to defend the rights of our users” in all regions. Read More TikTok gains 50 million users in US as ban looms Schoolboy almost dies from swallowing magnets for TikTok challenge Woman shares honest review of New York City apartment TikTok mom slammed after making 5-year-old son run in 104 degree heat

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