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arxiv: 1802.02317 · v1 · pith:SUMAVKGXnew · submitted 2018-02-07 · 💻 cs.CR

MAGNETO: Covert Channel between Air-Gapped Systems and Nearby Smartphones via CPU-Generated Magnetic Fields

classification 💻 cs.CR
keywords covertmagneticchanneldatasignalssmartphoneworksair-gapped
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In this paper, we show that attackers can leak data from isolated, air-gapped computers to nearby smartphones via covert magnetic signals. The proposed covert channel works even if a smartphone is kept inside a Faraday shielding case, which aims to block any type of inbound and outbound wireless communication (Wi-Fi, cellular, Bluetooth, etc.). The channel also works if the smartphone is set in airplane mode in order to block any communication with the device. We implement a malware that controls the magnetic fields emanating from the computer by regulating workloads on the CPU cores. Sensitive data such as encryption keys, passwords, or keylogging data is encoded and transmitted over the magnetic signals. A smartphone located near the computer receives the covert signals with its magnetic sensor. We present technical background, and discuss signal generation, data encoding, and signal reception. We show that the proposed covert channel works from a user-level process, without requiring special privileges, and can successfully operate from within an isolated virtual machine (VM).

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. ("Oops! Had the silly thing in reverse")---Optical injection attacks in through LED status indicators

    cs.CR 2019-06 unverdicted novelty 7.0

    LED status indicators on microcontrollers can act as optical receivers, enabling data injection attacks with bandwidth approaching 1 Mbit/s under realistic compromise conditions.

  2. CTRL-ALT-LED: Leaking Data from Air-Gapped Computers via Keyboard LEDs

    cs.CR 2019-07 accept novelty 5.0

    Malware can exfiltrate data from air-gapped computers by modulating keyboard LED lights at rates up to 3000 bits per second with light sensors or over 120 bits per second with smartphone cameras.