Towards Secure User Interaction in WebXR

Advancements in the extended reality (XR) has resulted in the emergence of WebXR, an XR-open standard interface that enables users to access immersive virtual environments via a browser without additional software. Following this, diverse applications are being developed for WebXR ranging from gaming and shopping to medical and military use. However, recent research indicates that various UI properties in WebXR, such as synthetic input and same-space overlapping objects, can be exploited by adversaries to manipulate users into unintentional actions, especially in the advertising ecosystem. The consequences range from system malfunctions and user data loss to financial and reputational impacts on several involved ad-stakeholders.

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Publication Details

Published
2025-05-03
DOI
https://doi.org/10.1145/3722570.3726880
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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Towards Secure User Interaction in WebXR

Z. Berkay Celik, Reham Mohamed Aburas, Chandrika Mukherjee, Habiba Farrukh et al.
Advanced Malware Detection Techniques
article

Towards Secure User Interaction in WebXR

Z. Berkay Celik, Reham Mohamed Aburas, Chandrika Mukherjee, Habiba Farrukh, Arjun Arunasalam
article en

Abstract

Advancements in the extended reality (XR) has resulted in the emergence of WebXR, an XR-open standard interface that enables users to access immersive virtual environments via a browser without additional software. Following this, diverse applications are being developed for WebXR ranging from gaming and shopping to medical and military use. However, recent research indicates that various UI properties in WebXR, such as synthetic input and same-space overlapping objects, can be exploited by adversaries to manipulate users into unintentional actions, especially in the advertising ecosystem. The consequences range from system malfunctions and user data loss to financial and reputational impacts on several involved ad-stakeholders.

American University of Sharjah (AE), University of California, Irvine (US), Purdue University West Lafayette (US)
Openalex Percentile: Top 90%
Advanced Malware Detection Techniques
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