MagView++: Data Exfiltration via CPU Magnetic Signals Under Video Decoding.

Air-gapped networks achieve security by using physical isolation to keep the computers and network from the Internet. However, magnetic covert channels based on CPU utilization have been proposed to help secret data to exfiltrate from the Faraday-cage and the air gap. Despite the success of such covert channels, they suffer from the high risk of being detected by the transmitter computer and the challenge of installing malware into such a computer. In this paper, we propose MagView++ , where sensitive information is embedded in other data such as video and can be transmitted over the internal network. When any computer uses the data such as playing the video, the sensitive information will leak through the magnetic signals. The “separation” of information embedding and leaking, combined with the fact that the data can be exfiltrated from any computer in a distributed manner, overcomes these limitations. We demonstrate that CPU utilization for video decoding can be effectively controlled by changing the video frame type, reducing the quantization parameter, and changing the timestamp of the frame, without video quality degradation. We prototype MagView++ and achieve 8.9 bps throughput with 0.0057 BER when using a smartphone as the receiver, and 59 bps throughput with 0.0025 BER when using a dedicated devices with high sampling rate as the receiver. Experiments under various environments are conducted to show the robustness of MagView++ . Limitations and possible countermeasures are also discussed.