
Deep-TEMPEST is a technique that uses deep learning to eavesdrop on HDMI signals by analyzing unintended electromagnetic emanations from HDMI cables and connectors.
Here’s a breakdown of how it works:
How Deep-TEMPEST Works
- Electromagnetic Emanations: HDMI cables and connectors emit unintended electromagnetic signals while transmitting video data.
- Signal Capture: These signals are captured using a Software Defined Radio (SDR) device.
- Initial Processing: The captured signals are processed by a system called gr-tempest, which produces a degraded, complex-valued image.
- Deep Learning Module: This degraded image is then fed into a convolutional neural network (CNN) that has been trained to reconstruct the original visual content from the HDMI connection.
- Output: The deep learning model improves the quality of the reconstructed image, making it possible to infer the content being displayed on the screen.
Applications and Implications
- Eavesdropping: This technique can be used to spy on digital video displays without direct access to the HDMI connection.
- Security Concerns: It highlights potential vulnerabilities in digital video transmission and the need for countermeasures to protect sensitive information.
Countermeasures
To mitigate the risk of eavesdropping using techniques like Deep-TEMPEST, consider the following:
- Shielded Cables: Use HDMI cables with better shielding to reduce electromagnetic emissions.
- Physical Security: Ensure that sensitive areas are physically secure to prevent unauthorized access to cables and connectors.
- Signal Encryption: Implement encryption for video signals to make it harder to reconstruct the content even if the signals are captured.
If you have any more questions or need further details, feel free to ask!
²: arXiv:2407.09717
³: Hashnode

(1) [2407.09717] Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI …. https://arxiv.org/abs/2407.09717.
(2) Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its …. https://mikeyoung44.hashnode.dev/deep-tempest-using-deep-learning-to-eavesdrop-on-hdmi-from-its-unintended-electromagnetic-emanations.
(3) GitHub – emidan19/deep-tempest: Restoration for TEMPEST images using …. https://github.com/emidan19/deep-tempest.
(4) Deep-TEMPEST: Using Deep Learning to Eavesdrop on HDMI from its …. https://arxiv.org/html/2407.09717v1.
(5) Security researchers reveal it is possible to eavesdrop on HDMI cables …. https://techxplore.com/news/2024-07-reveal-eavesdrop-hdmi-cables-capture.html.
(6) undefined. https://github.com/emidan19/deep-tempest.git.
(7) undefined. https://doi.org/10.48550/arXiv.2407.09717.
