{"id":629210,"date":"2024-07-30T16:00:01","date_gmt":"2024-07-30T13:00:01","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/security-researchers-reveal-it-is-possible-to-eavesdrop-on-hdmi-cables-to-capture-computer-screen-data\/"},"modified":"2024-07-30T16:00:01","modified_gmt":"2024-07-30T13:00:01","slug":"security-researchers-reveal-it-is-possible-to-eavesdrop-on-hdmi-cables-to-capture-computer-screen-data","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/security-researchers-reveal-it-is-possible-to-eavesdrop-on-hdmi-cables-to-capture-computer-screen-data\/","title":{"rendered":"#Security researchers reveal it is possible to eavesdrop on HDMI cables to capture computer screen data"},"content":{"rendered":"
\n
\n
\n
\n \"Security
\n Proposed system. The HDMI cable and connectors emit unintended electromagnetic signals, which are captured by the SDR and processed by gr-tempest, obtaining a degraded complex-valued image, which in turn is fed to a convolutional neural network to infer the source image. All three images correspond to actual results. Credit: arXiv<\/i> (2024). DOI: 10.48550\/arxiv.2407.09717
\n <\/figcaption><\/figure>\n<\/p><\/div>\n<\/div>\n

A trio of computer security researchers at Universidad de la Rep\u00fablica Montevideo, in Uruguay, reports that it is possible to reproduce text on a computer screen by eavesdropping on its HDMI cable. Santiago Fern\u00e1ndez Emilio Mart\u00ednez, Gabriel Varela, and Pablo Mus\u00e9 Federico Larroca, have published a paper<\/a> describing their discovery on the arXiv<\/i> preprint server.<\/p>\n

Back in the days of CRT-based computer screens, hackers learned early on that it was not difficult to translate the electromagnetic radiation emissions into imagery that revealed the contents of someone else’s computer screen. When the industry moved to LED-based screens, which use HDMI cables, hacking became much more difficult due to the vastly more complex signaling. In this new study, the team in Uruguay has found that app<\/a>lying AI to the problem makes it possible.<\/p>\n

The work involved capturing electromagnetic radiation emitted from a computer’s HDMI cables. They then trained an AI system by giving it screen samples associated with radiation signals moving through the computer’s HDMI cable. Over time, the system gradually grew better at deciphering the text displayed on a given computer screen.<\/p>\n

Testing showed the system capable of reconstructing text from a random computer screen with 70% accuracy. Good enough, the research team suggests, for most people to get the gist of text on a given computer screen. They also note it is likely good enough to steal passwords, sensitive data, or in some cases, encrypted communications. The researchers found they could improve their results by using text recognition software on the text after it was deciphered.<\/p>\n

\n
\n
\n
\n
\n
\n <\/p>\n