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Scientists from Uruguay have uncovered an invisible gap in digital security.
Scientists from the Republican University of Uruguay have demonstrated that with the help of certain equipment and artificial intelligence, it is possible to intercept and decrypt digital video signals displayed on computer screens and other electronic devices.
In the era of analog video signals, hackers could easily restore the image on the screen by detecting a signal leak from video cables, but with the transition to digital protocols such as HDMI, this became more difficult due to the more complex nature of the transmitted data.
However, digital signals still emit a certain amount of electromagnetic waves when transmitted between the computer and the monitor. By training the AI model on samples of the original and intercepted HDMI signals, the researchers were able to decode the recorded leaks into readable images.
The new technique allows you to recover text from intercepted HDMI signals with an accuracy of about 70%. Although it is still far from perfect, this is quite enough for the human eye to recognize the text with high accuracy. Potentially, this allows hackers to monitor the input of passwords, financial data, or encrypted correspondence.
To test their attack, the researchers used text recognition software based on visual data recovered by their AI model. By comparing the extracted text with the original screen content, they were able to improve the accuracy of recovery by 60% compared to previous methods.
As for the HDMI signal interception itself, hackers can implement it in several ways at once. They can set up an inconspicuous signal capture device inside a building with a target computer, or just be nearby with a radio antenna to capture HDMI radiation. As real experiments show, such electromagnetic leaks can be detected even at a distance of tens of meters.
Researchers claim that such attacks are already being used against government agencies and industrial facilities. But such organizations are likely already protecting their premises from electromagnetic leaks, despite significant costs.
Meanwhile, for ordinary home or office users, this method of eavesdropping is still difficult to implement. Using specialized equipment to capture signals, as well as trained AI models, still requires significant costs and effort.
Source
Scientists from the Republican University of Uruguay have demonstrated that with the help of certain equipment and artificial intelligence, it is possible to intercept and decrypt digital video signals displayed on computer screens and other electronic devices.
In the era of analog video signals, hackers could easily restore the image on the screen by detecting a signal leak from video cables, but with the transition to digital protocols such as HDMI, this became more difficult due to the more complex nature of the transmitted data.
However, digital signals still emit a certain amount of electromagnetic waves when transmitted between the computer and the monitor. By training the AI model on samples of the original and intercepted HDMI signals, the researchers were able to decode the recorded leaks into readable images.
The new technique allows you to recover text from intercepted HDMI signals with an accuracy of about 70%. Although it is still far from perfect, this is quite enough for the human eye to recognize the text with high accuracy. Potentially, this allows hackers to monitor the input of passwords, financial data, or encrypted correspondence.
To test their attack, the researchers used text recognition software based on visual data recovered by their AI model. By comparing the extracted text with the original screen content, they were able to improve the accuracy of recovery by 60% compared to previous methods.
As for the HDMI signal interception itself, hackers can implement it in several ways at once. They can set up an inconspicuous signal capture device inside a building with a target computer, or just be nearby with a radio antenna to capture HDMI radiation. As real experiments show, such electromagnetic leaks can be detected even at a distance of tens of meters.
Researchers claim that such attacks are already being used against government agencies and industrial facilities. But such organizations are likely already protecting their premises from electromagnetic leaks, despite significant costs.
Meanwhile, for ordinary home or office users, this method of eavesdropping is still difficult to implement. Using specialized equipment to capture signals, as well as trained AI models, still requires significant costs and effort.
Source
