Panagiotis Papadopoulos (FORTH-ICS, Greece), Panagiotis Ilia (FORTH-ICS), Michalis Polychronakis (Stony Brook University, USA), Evangelos P. Markatos (FORTH-ICS, Greece), Sotiris Ioannidis (FORTH-ICS, Greece), Giorgos Vasiliadis (FORTH-ICS, Greece)

The proliferation of web applications has essentially transformed modern browsers into small but powerful operating systems. Upon visiting a website, user devices run implicitly trusted script code, the execution of which is confined within the browser to prevent any interference with the user’s system. Recent JavaScript APIs, however, provide advanced capabilities that not only enable feature-rich web applications, but also allow attackers to perform malicious operations despite the confined nature of JavaScript code execution.
In this paper, we demonstrate the powerful capabilities that modern browser APIs provide to attackers by presenting MarioNet: a framework that allows a remote malicious entity to control a visitor’s browser and abuse its resources for unwanted computation or harmful operations, such as cryptocurrency mining, password-cracking, and DDoS. MarioNet relies solely on already available HTML5 APIs, without requiring the installation of any additional software. In contrast to previous browser- based botnets, the persistence and stealthiness characteristics of MarioNet allow the malicious computations to continue in the background of the browser even after the user closes the window or tab of the initially visited malicious website. We present the design, implementation, and evaluation of our prototype system, which is compatible with all major browsers, and discuss potential defense strategies to counter the threat of such persistent in- browser attacks. Our main goal is to raise awareness about this new class of attacks, and inform the design of future browser APIs so that they provide a more secure client-side environment for web applications.

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Shasha Li (University of California Riverside), Ajaya Neupane (University of California Riverside), Sujoy Paul (University of California Riverside), Chengyu Song (University of California Riverside), Srikanth V. Krishnamurthy (University of California Riverside), Amit K. Roy Chowdhury (University of California Riverside), Ananthram Swami (United States Army Research Laboratory)

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Ahmed Salem (CISPA Helmholtz Center for Information Security), Yang Zhang (CISPA Helmholtz Center for Information Security), Mathias Humbert (Swiss Data Science Center, ETH Zurich/EPFL), Pascal Berrang (CISPA Helmholtz Center for Information Security), Mario Fritz (CISPA Helmholtz Center for Information Security), Michael Backes (CISPA Helmholtz Center for Information Security)

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Jaeho Lee (Rice University), Ang Chen (Rice University), Dan S. Wallach (Rice University)

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Shiqing Ma (Purdue University), Yingqi Liu (Purdue University), Guanhong Tao (Purdue University), Wen-Chuan Lee (Purdue University), Xiangyu Zhang (Purdue University)

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