Demo: UI Based Attacks in WebXR

The WebXR API enables immersive AR/VR experiences directly through web browsers on head-mounted displays (HMDs). However, prior research shows that security-sensitive UI properties and the lack of an <iframe> like element that separates different origins can be exploited to manipulate user actions, particularly within the advertising ecosystem. In our prior work, we proposed five novel UI-based attacks in WebXR, targeting the ad ecosystem. This demo presents these attacks in a unified gaming application, embedding each into distinct interactive scenarios. Our work highlights the need to address design challenges and requirements for improving immersive web-based experiences. We provide our demo video at: https://youtu.be/lTBQbxnNq34.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1145/3711875.3734381
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Demo: UI Based Attacks in WebXR

Z. Berkay Celik, Reham Mohamed Aburas, Chandrika Mukherjee, Habiba Farrukh et al.
Network Security and Intrusion Detection
article

Demo: UI Based Attacks in WebXR

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

Abstract

The WebXR API enables immersive AR/VR experiences directly through web browsers on head-mounted displays (HMDs). However, prior research shows that security-sensitive UI properties and the lack of an <iframe> like element that separates different origins can be exploited to manipulate user actions, particularly within the advertising ecosystem. In our prior work, we proposed five novel UI-based attacks in WebXR, targeting the ad ecosystem. This demo presents these attacks in a unified gaming application, embedding each into distinct interactive scenarios. Our work highlights the need to address design challenges and requirements for improving immersive web-based experiences. We provide our demo video at: https://youtu.be/lTBQbxnNq34.

American University of Sharjah (AE), University of California, Irvine (US), Purdue University West Lafayette (US)
National Science Foundation
Openalex Percentile: Top 68%
Network Security and Intrusion Detection
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Demo: UI Based Attacks in WebXR — Z. Berkay Celik, Reham Mohamed Aburas, et al. · (2025) | TGRS Research Map | TGRS