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TapTrap : Animation-Driven Tapjacking on Android

Title data

Beer, Philipp ; Squarcina, Marco ; Roth, Sebastian ; Lindorfer, Martina:
TapTrap : Animation-Driven Tapjacking on Android.
2025
Event: 34th USENIX Security Symposium , August 13–15, 2025 , Seattle, WA, USA.
(Conference item: Conference , Paper )

Official URL: Volltext

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Abstract in another language

Users interact with mobile devices under the assumption that the graphical user interface (GUI) accurately reflects their actions, a trust fundamental to the user experience. In this work, we present TapTrap, a novel attack that enables zero-permission apps to exploit UI animations to undermine this trust relationship. TapTrap can be used by a malicious app to stealthily bypass Android’s permission system and gain access to sensitive data or execute destructive actions, such as wiping the device without user approval. Its impact extends beyond the Android ecosystem, enabling tapjacking and Web clickjacking. TapTrap is able to bypass existing tapjacking defenses, as those are targeted toward overlays. Our novel approach, instead, abuses activity transition animations and is effective even on Android 15. We analyzed 99,705 apps from the Play Store to assess whether TapTrap is actively exploited in the wild. Our analysis found no evidence of such exploitation. Additionally, we conducted a large-scale study on these apps and discovered that 76.3% of apps are vulnerable to TapTrap. Finally, we evaluated the real-world feasibility of TapTrap through a user study with 20 participants, showing that all of them failed to notice at least one attack variant. Our findings have resulted in two assigned CVEs.

Further data

Item Type: Conference item (Paper)
Refereed: Yes
Keywords: Android; Tapjacking; Clickjacking; Animation
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Junior Professor Cybersecurity
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Junior Professor Cybersecurity > Junior Professor Cybersecurity - Juniorprof. Dr.-Ing. Sebastian Roth
Research Institutions > Central research institutes > Research Center for AI in Science and Society
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
600 Technology, medicine, applied sciences > 600 Technology
Date Deposited: 29 Jul 2025 08:58
Last Modified: 04 Nov 2025 11:59
URI: https://eref.uni-bayreuth.de/id/eprint/94368