Systems and methods for utilizing multiple analysis techniques to distinguish stalkerware from privacy-invasive application types

Abstract

The disclosed computer-implemented method for utilizing multiple analysis techniques to distinguish stalkerware from privacy-invasive application types may include (i) inspecting application package data associated with a target application, (ii) analyzing application marketplace data for the target application to determine descriptions of potential privacy-invasive actions, (iii) predicting, utilizing a program machine learning classifier, sensitive data leaks associated with the target application based on the application package data, (iv) predicting, utilizing a marketplace machine learning classifier, surveillance activities associated with the target application based on the descriptions of the potential privacy-invasive actions, and (v) performing a security action that assigns a privacy invasion category to the target application to distinguish the target application from stalkerware and other privacy invasion application types. Various other methods, systems, and computer-readable media are also disclosed.