Data for: Abusability of automation apps in intimate partner violence

The research investigates how popular automation apps—Apple Shortcuts, Tasker, IFTTT, and Samsung Modes & Routines—can be exploited maliciously in intimate partner violence (IPV) contexts. The study systematically examines the capabilities of these apps to facilitate surveillance, control, and harassment. We designed an LLM-based detector to investigate whether an iOS Shortcut recipe is capable of performing a surveillance, lockout/control, overloading, or impersonation attack. The detector takes the iCloud URL of shared Shortcuts, parses that into an LLM-readable format, and analyzes using LLM-detector. In total, we evaluated 12,962 publicly available Apple Shortcut recipes to identify those capable of IPV abuse.