Abstract: Behavioral analysis of a mobile webpage is performed to determine whether the webpage is malicious. During analysis, the webpage is visited by an emulated mobile device to cause behaviors to occur which may be malicious. The behaviors occurring after accessing the webpage are stored. The behaviors are classified as hard or soft signals. A probability of the webpage being malicious is determined through combining soft signals, and the webpage is classified as malicious or non-malicious. Users of the webpage, the developer of the webpage, or a distributor of the webpage are notified of the webpage classification to enable responsive action.

Abstract: Behavioral analysis of a mobile application is performed to determine whether the application is malicious. During analysis, various user interactions are simulated in an emulated environment to activate many possible resulting behaviors of an application. The behaviors are classified as hard or soft signals. A probability of the application being malicious is determined through combining soft signals, and the application is classified as malicious or non-malicious. Users of the application, the developer of the application, or a distributor of the application are notified of the application classification to enable responsive action.

Abstract: Embodiments of the present invention provide users with apparatus and methods for managing user data and for making and accepting payments. A system for enabling secure payment transactions comprises user hardware, recipient hardware, and a data system, in accordance with an embodiment of the present invention. The data system comprises a database and a database manager. The database includes storage means adapted to store user data. The database manager is adapted for controlling and managing access to the data in the database. The database manager is adapted for communication with the user hardware, recipient hardware, and the payment processing space, including financial institutions and other suppliers of data.