USBCulprit: USB-borne Air-Gap Malware

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    13 Scopus citations

    Abstract

    Air-gapped networks are disconnected from the Internet due to the sensitive data they store and process. These networks are usually maintained by military organizations, defense industries, critical infrastructures, and more. Malware that is capable of jumping air-gaps is rare findings. In June 2020, researchers in Kaspersky security firm reported USBCulprit, an Advanced Persistent Threat (APT) which seems to be designed to reach air-gapped networks. The malware includes lateral movement, spreading, and data exfiltrations mechanisms via USB thumb drives. We tested and reverse-engineered the sample of USBCulprit, and investigated its internal design, modules, and techniques. Especially, we revised the data collection and air-gap exfiltration mechanisms. We also present a video clip showing the actual attack on our in-lab air-gapped network and discuss a set of defensive countermeasures. This analysis in important for the understanding and mitigation of USB-borne APTs.

    Original languageEnglish
    Title of host publicationProceedings of the 2021 European Interdisciplinary Cybersecurity Conference, EICC 2021
    PublisherAssociation for Computing Machinery
    Pages7-13
    Number of pages7
    ISBN (Electronic)9781450390491
    DOIs
    StatePublished - 10 Nov 2021
    Event2021 European Interdisciplinary Cybersecurity Conference, EICC 2021 - Virtual, Online, Romania
    Duration: 10 Nov 202111 Nov 2021

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference2021 European Interdisciplinary Cybersecurity Conference, EICC 2021
    Country/TerritoryRomania
    CityVirtual, Online
    Period10/11/2111/11/21

    Keywords

    • APT
    • Air-gap
    • Covert channels
    • Malware
    • USB
    • exfiltration

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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