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  • Open Access

    ARTICLE

    ADFEmu: Enhancing Firmware Fuzzing with Direct Memory Access (DMA) Input Emulation Using Concolic Execution and Large Language Models (LLMs)

    Yixin Ding1, Xinjian Zhao1, Zicheng Wu1, Yichen Zhu2, Longkun Bai2, Hao Han2,*

    CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5977-5993, 2025, DOI:10.32604/cmc.2025.065672 - 30 July 2025

    Abstract Fuzz testing is a widely adopted technique for uncovering bugs and security vulnerabilities in embedded firmware. However, many embedded systems heavily rely on peripherals, rendering conventional fuzzing techniques ineffective. When peripheral responses are missing or incorrect, fuzzing a firmware may crash or exit prematurely, significantly limiting code coverage. While prior re-hosting approaches have made progress in simulating Memory-Mapped Input/Output (MMIO) and interrupt-based peripherals, they either ignore Direct Memory Access (DMA) or handle it oversimplified. In this work, we present ADFEmu, a novel automated firmware re-hosting framework that enables effective fuzzing of DMA-enabled firmware. ADFEmu integrates… More >

  • Open Access

    ARTICLE

    Adaptive Emulation Framework for Multi-Architecture IoT Firmware Testing

    Jihyeon Yu1, Juhwan Kim1, Youngwoo Lee1, Fayozbek Rustamov2, Joobeom Yun1,*

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3291-3315, 2023, DOI:10.32604/cmc.2023.035835 - 31 March 2023

    Abstract Internet of things (IoT) devices are being increasingly used in numerous areas. However, the low priority on security and various IoT types have made these devices vulnerable to attacks. To prevent this, recent studies have analyzed firmware in an emulation environment that does not require actual devices and is efficient for repeated experiments. However, these studies focused only on major firmware architectures and rarely considered exotic firmware. In addition, because of the diversity of firmware, the emulation success rate is not high in terms of large-scale analyses. In this study, we propose the adaptive emulation… More >

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