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.