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CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks

arXiv 2006.15794 ↗First posted 29 Jun 2020cs.CY cs.SIcited by 3

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Abstract (arXiv)

Online social networks support a vibrant ecosystem of third-party apps that get access to personal information of a large number of users. Despite several recent high-profile incidents, methods to systematically detect data misuse by third-party apps on online social networks are lacking. We propose CanaryTrap to detect misuse of data shared with third-party apps. CanaryTrap associates a honeytoken to a user account and then monitors its unrecognized use via different channels after sharing it with the third-party app. We design and implement CanaryTrap to investigate misuse of data shared with third-party apps on Facebook. Specifically, we share the email address associated with a Facebook account as a honeytoken by installing a third-party app. We then monitor the received emails and use Facebook's ad transparency tool to detect any unrecognized use of the shared honeytoken. Our deployment of CanaryTrap to monitor 1,024 Facebook apps has uncovered multiple cases of misuse of data shared with third-party apps on Facebook including ransomware, spam, and targeted advertising.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Jun 2020.

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Citing papers per year: 2023: 1; 2024: 1; 2025: 0; 2026: 1.

3 papers.