ITWebSS2023 – Kaspersky warns according to WEF, the number of deepfake videos online is increasing at an annual rate of 900%.
The security company defines deepfake as the use of neural networks and deep learning to enable users to apply images, video and audio materials to create realistic videos of a person in which their face or body has been digitally altered so that they appear to be someone else.
For instance, there is a known case where cyber criminals managed to deceive a bank manager in the UAE and steal US$35-million, using a voice deepfake – just a small recording of employee’s boss’s voice was enough to generate a convincing deepfake., scammers tried to fool the largest cryptocurrency platform, Binance. The Binance executive was surprised when he started receiving 'thank you!' messages about a Zoom meeting he never attended.
Therefore, when cybercriminals are preparing for an attack, they will need a big amount of data: photos, videos and audio of the person they want to impersonate. Different angles, brightness of lighting, facial expressions, all play a big role in the final quality. For the result to be realistic, up-to-date computer power and software is necessary.
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