Work

Illusion Worlds: Deceptive UI Attacks in Social VR

Year: 2025

Type: conference-abstract

Abstract: Social Virtual Reality (VR) platforms have surged in popularity, yet their security risks remain underexplored. This paper presents four novel UI attacks that covertly manipulate users into performing harmful actions through deceptive virtual content. Implemented on VRChat and validated in an IRB-approved study with 30 participants, these attacks demonstrate how deceptive elements can mislead users into malicious actions without their awareness. To address these vulnerabilities, we propose MetaScanner, a proactive countermeasure that rapidly analyzes objects and scripts in virtual worlds, detecting suspicious elements within seconds.

Source: IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

DOI: 10.1109/vrw66409.2025.00280

Authors: Junhee Lee, Hwanjo Heo, Seungwon Woo, Minseok Kim, Jongseop Kim, Jinwoo Kim

Institutions: Kwangwoon University, Electronics and Telecommunications Research Institute

Language: English

Topic: Security and Verification in Computing

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Research Foundation of Korea

OpenAlex ID: W4409759783

Cites: 3

Cited by:

Related to: 10