DROIDFUZZ: Proprietary Driver Fuzzing for Embedded Android Devices

Embedded Android Devices have proliferated in many security-critical embedded scenarios, requiring sufficient testing to root out vulnerabilities. Due to Android’s architecture, which uses a Hardware ion Layer (HAL) for vendor-specific driver implementations, traditional kernel testing techniques cannot detect such bugs within the actual driver logic, which are commonly proprietary and vendorspecific. In this paper, we propose DroidFuzz, an embedded Android system fuzzer that targets such vendor-specific driver implementations to find such bugs. Through leveraging pre-testing HAL driver probing, kernel-user relational payload generation, and cross-boundary execution state feedback, we effectively test the proprietary drivers in both the kernel and the HAL layer. We implemented DroidFuzz and evaluated its effectiveness on 7 embedded Android devices, and found 12 security-critical previously unknown bugs, all of which have been confirmed by the respective vendors.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/dac63849.2025.11132499
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
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article

DROIDFUZZ: Proprietary Driver Fuzzing for Embedded Android Devices

Qiang Zhang, Yuheng Shen, Y.P. Chu, Yu Jiang et al.
Advanced Malware Detection Techniques
article

DROIDFUZZ: Proprietary Driver Fuzzing for Embedded Android Devices

Qiang Zhang, Yuheng Shen, Y.P. Chu, Yu Jiang, Wanli Chang, Heyuan Shi, Jianzhong Liu
article en

Abstract

Embedded Android Devices have proliferated in many security-critical embedded scenarios, requiring sufficient testing to root out vulnerabilities. Due to Android’s architecture, which uses a Hardware ion Layer (HAL) for vendor-specific driver implementations, traditional kernel testing techniques cannot detect such bugs within the actual driver logic, which are commonly proprietary and vendorspecific. In this paper, we propose DroidFuzz, an embedded Android system fuzzer that targets such vendor-specific driver implementations to find such bugs. Through leveraging pre-testing HAL driver probing, kernel-user relational payload generation, and cross-boundary execution state feedback, we effectively test the proprietary drivers in both the kernel and the HAL layer. We implemented DroidFuzz and evaluated its effectiveness on 7 embedded Android devices, and found 12 security-critical previously unknown bugs, all of which have been confirmed by the respective vendors.

Software602 (Czechia) (CZ), Hunan Software Vocational Institute (CN), Tsinghua University (CN)
Openalex Percentile: Top 69%
Advanced Malware Detection Techniques
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