Fireeye, Inc.

Noah M Johnson

Ashar Aziz

Osman Abdoul Ismael

Dawn Song

Adrian Matthew Mettler

Harnish Goradia

Hui Xue

Prashanth Mohan

Prshanth Mohan

In one embodiment, a method for detecting one or more behaviors by software under test that indicate a presence of malware is described. First, an analysis of operations conducted by the software being processed by a virtual machine is performed. The analysis includes monitoring one or more behaviors conducted by the software during processing within the virtual machine. Next, a video corresponding to at least the one or more monitored behaviors, which are conducted by the software during processing of the software within the virtual machine, is generated. Also, text information associated with each of the one or more monitored behaviors is generated, where the text information being displayed on an electronic device contemporaneously with the video corresponding to the one or more monitored behaviors.

Real-time visual playback with synchronous textual analysis log display and event/time indexing

A method is described that includes receiving an application and generating a representation of the application that describes specific states of the application and specific state transitions of the application. The method further includes identifying a region of interest of the application based on rules and observations of the application's execution. The method further includes determining specific stimuli that will cause one or more state transitions within the application to reach the region of interest. The method further includes enabling one or more monitors within the application's run time environment and applying the stimuli. The method further includes generating monitoring information from the one or more monitors. The method further includes applying rules to the monitoring information to determine a next set of stimuli to be applied to the application in pursuit of determining whether the region of interest corresponds to improperly behaving code.

Framework for efficient security coverage of mobile software applications

A method for hardening in the field code of mobile software applications is described that includes receiving, by a cloud service framework, an application via a user interface over a network. The method also includes generating, by the cloud service framework, a representation of the code of the application and determining, by the cloud service framework, changes to code of the application based at least in part on the representation, wherein the changes to the code preclude the application from performing one or more unwanted behaviors. The method also includes instrumenting, by a static instrumentation unit within the cloud service framework, the application with the changes to the code to create an instrumented application that does not perform the one or more unwanted behaviors.

Security cloud service framework for hardening in the field code of mobile software applications

An apparatus is described for detecting anomalous behavior by an application software under test that suggests a presence of malware. The apparatus features a hardware processor and a storage device. The storage device stores logic that, when executed by the hardware processor, conducts an analysis of operations of the software for an occurrence of one or more events, generates a video of a display output produced by the operations of the software, and generates, for display contemporaneously with the video, a textual log including information associated with the one or more events, the textual log provides information as to when each event of the one or more events occurs within an execution flow of the operations of the software.

User interface with real-time visual playback along with synchronous textual analysis log display and event/time index for anomalous behavior detection in applications

A method is described that includes receiving an application and creating a representation of the application that describes states and state transitions of the application. The method further includes receiving a description of unwanted behaviors of the application. The method further includes using the description and the representation to determine actions to be added to the application and locations within the application where the actions are to be performed. The method also includes instrumenting the application with the actions in the locations to create an instrumented application that does not perform the unwanted behaviors.

Framework for efficient security coverage of mobile software applications that is usable to harden in the field code

According to one embodiment, a method comprises conducting an analysis for anomalous behavior on application software and generating a video of a display output produced by the application software. The video is to be displayed on an electronic device contemporaneously with display of one or more events detected by the analysis being performed on the application software.

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Oakland, CA, United States of America

Noah M Johnson