USENIX Security2023Top-tier venue
RøB: Ransomware over Modern Web Browsers
Harun Oz, Ahmet Aris, Abbas Acar, Güliz Seray Tuncay, Leonardo Babun, A. Selcuk Uluagac
Abstract
File System Access (FSA) API enables web applications to interact with files on the users' local devices. Even though it can be used to develop rich web applications, it greatly extends the attack surface, which can be abused by adversaries to cause significant harm. In this paper, for the first time in the literature, we extensively study this new attack vector that can be used to develop a powerful new ransomware strain over a browser. Using the FSA API and WebAssembly technology, we demonstrate this novel browser-based ransomware called RØB as a malicious web application that encrypts the user's files from the browser. We use RØB to perform impact analysis with different OSs, local directories, and antivirus solutions as well as to develop mitigation techniques against it. Our evaluations show that RØB can encrypt the victim's local files including cloud-integrated directories, external storage devices, and network-shared folders regardless of the access limitations imposed by the API. Moreover, we evaluate and show how the existing defense solutions fall short against RØB in terms of their feasibility. We propose three potential defense solutions to mitigate this new attack vector. These solutions operate at different levels (i.e., browser-level, filesystem-level, and user-level) and are orthogonal to each other. Our work strives to raise awareness of the dangers of RØBlike browser-based ransomware strains and shows that the emerging API documentation (i.e., the popular FSA) can be equivocal in terms of reflecting the extent of the threat.
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Cited by top-tier papers4
- Peripheral Instinct: How External Devices Breach Browser SandboxesLeon Trampert, Lorenz Hetterich, Lukas Gerlach, Mona Schappert et al.WWW 2025 · 2 citations
- Speak Up, I'm Listening: Extracting Speech from Zero-Permission VR SensorsDerin Cayir, Reham Mohamed Aburas, Riccardo Lazzeretti, Marco Angelini et al.NDSS 2025
- ERW-Radar: An Adaptive Detection System against Evasive Ransomware by Contextual Behavior Detection and Fine-grained Content AnalysisLingbo Zhao, Yuhui Zhang, Zhilu Wang, Fengkai Yuan et al.NDSS 2025
- Exploring and Exploiting the Resource Isolation Attack Surface of WebAssembly ContainersZhaofeng Yu, Dongyang Zhan, Lin Ye, Haining Yu et al.USENIX Security 2025
Builds on5
- Cognitive Triaging of Phishing AttacksAmber van der Heijden, Luca AllodiUSENIX Security 2019 · 100 citations
- FlashGuard: Leveraging Intrinsic Flash Properties to Defend Against Encryption RansomwareJian Huang, Jun Xu, Xinyu Xing, Peng Liu et al.CCS 2017 · 94 citations
- Location Heartbleeding: The Rise of Wi-Fi Spoofing Attack Via Geolocation APIXiao Han, Junjie Xiong, Wenbo Shen, Zhuo Lu et al.CCS 2022 · 7 citations
- Experimental Security Analysis of the App Model in Business Collaboration PlatformsYunang Chen, Yue Gao, Nick Ceccio, Rahul Chatterjee et al.USENIX Security 2022
- UNVEIL: A Large-Scale, Automated Approach to Detecting RansomwareAmin Kharraz, Sajjad Arshad, Collin Mulliner, William K. Robertson et al.USENIX Security 2016
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