Systems and methods for detecting inter-personal attack applications

The disclosed computer-implemented method for detecting inter-personal attack applications may include (i) receiving application marketplace information describing application feature information, (ii) creating, by performing natural language processing on the feature information, a feature vector identifying a potentially malicious functionality of the application, (iii) creating a profiling vector that is a categorical feature representation of installation information from an application installation file, and (iv) performing a security action including (A) mapping, using a machine learning model, the feature vector and the profiling vector to a multi-dimensional output vector having element corresponding to a malware category and (B) determining a malicious extent of the application by combining the categories identified by the multi-dimensional output vector with bi-partite graph information identifying (I) relations between a plurality of applications and (II) relations between a plurality of computing devices hosting the plurality of applications. Various other methods, systems, and computer-readable media are also disclosed.