Abstract: One embodiment of the disclosure is directed to a method for generating an identifier for use in malware detection. Herein, a first plurality of indicators of compromise are obtained. These indicators of compromise correspond to a plurality of anomalous behaviors. Thereafter, a filtering operation is performed on the first plurality of indicators of compromise by removing one or more indicators of compromise from the first plurality of indicators of compromise to create a second plurality of indicators of compromise. The identifier represented by the second plurality of indicators of compromise is created.

Abstract: Computerized techniques to determine and verify maliciousness of an object are described. An endpoint device, during normal processing of an object, identifies the object as suspicious in response to detected features of the object and coordinates further analysis with a malware detection system. The malware detection system processes the object, collects features related to processing, and analyzes the features of the suspicious object to classify as malicious or benign. Correlation of the features captured by the endpoint device and the malware detection system may verify a classification by the malware detection system of maliciousness of the content. The malware detection system may communicate with the one or more endpoint devices to influence detection and reporting of behaviors by those device(s).

Abstract: A centralized aggregation technique detects lateral movement of a stealthy (i.e., covert) cyber-attack in an enterprise network. A data center security (DCS) appliance may be located at a data center of the enterprise network, while a malware detection system (MDS) appliance may be located at a periphery of the network, an endpoint may be internally located within the enterprise network and an attack analyzer may be centrally located in the network. The appliances and endpoint may provide results of heuristics to an attack analyzer, wherein the heuristic results may be used to detect one or more tools downloaded to the endpoint, as well as resulting actions of the endpoint to determine whether the tools and actions manifest observable behaviors of the lateral movement of the SC-attack.

Abstract: 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.

Abstract: Exemplary systems and methods for malware attack detection and identification are provided. A malware detection and identification system a controller that features an analysis environment including a virtual machine. The analysis environment to (1) receive data by the virtual machine of the analysis environment and identify a portion of the data that have been received from one or more untrusted, (2) monitor state information associated with the identified portion of the data during execution by the virtual machine, (3) identify an outcome of the state information by tracking the state information during execution of the identified portion of the data by the virtual machine, and (4) determine whether the identified outcome comprises a redirection in control flow during execution by the virtual machine of the portion of the data, the redirection in the control flow constituting an unauthorized activity.

Abstract: Systems and methods for detecting malicious content are provided. In an exemplary embodiment, a method for detecting malicious content is described that detects when a client device has access to a remote network server of a communication network. The client device includes one or more processors. Thereafter, a controller being a device separate from the client device, activates one or more security programs within the remote network server. The security programs enable the controller to analyze data stored within or transmitted from the remote network server. Lastly, the controller analyzing the data to determine whether the data includes malware.

Abstract: A system and method for detecting malicious activity through one or more local analyzers and a central analyzer. The local analyzer captures packets that are part of communications over a network, generates a signature from information obtained from one or more of the captured packets, and determines whether the signature matches any signature of a first plurality of signatures stored in a first storage device that is accessible to the first local analyzer. The central analyzer remotely receives a portion of the information and the signature from the first local analyzer in response to the signature failing to match any of the signatures stored in the first storage device. The central analyzer determines whether the signature matches any global signature stored within a second storage device that is accessible to the central analyzer.

Abstract: 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.

Abstract: Systems and methods for malware attack prevention are provided. The malware attack prevention system features a heuristic module, an analysis environment and an interception module. The heuristic module is configured to (i) receive incoming data from a particular source over a first communication path and (ii) analyze the incoming data to determine whether the incoming data is suspicious, where the suspicious incoming data represents a prescribed likelihood that the incoming data is associated with a malware attack. The analysis environment is configured to analyze the suspicious incoming data to identify whether the suspicious incoming data is associated with a malware attack. Lastly, the interception module is configured to redirect a subsequent flow of data from the particular source to the malware attack prevention system in response to determining, by at least the heuristic module, that the incoming data is suspicious.

Abstract: One embodiment of the invention is directed to a method for defending against a cyberattack. The method involves filtering communications traffic propagating over a communication network and analyzing the filtered communications traffic within an alternate computer network, which is communicatively coupled to the communication network. Upon detection of malware within the filtered communications traffic, a malware identifier is generated based on anomalous behavior caused within the alternate computer network by the malware. The generating of the malware identifier includes (i) generating a sequence of network activities within the alternate computer network based on an orchestrated pattern and (ii) determining the malware identifier by comparing observed behavior in the alternate computer network with orchestrated behavior expected from the orchestrated pattern. Thereafter, the propagation of the malware over the communication network is blocked.

Abstract: Systems and methods for malware containment on connection is provided. In exemplary embodiments, a malware containment method is described that performs a number of operations. The method involves redirecting network data received over a communication network to a virtual machine. The virtual machine is configured to simulate functionality of a digital device. Furthermore, the method involves analyzing of the redirected network data that including analyzing a response of the virtual machine to processing of the network data within the virtual machine to identify a malware attack. Thereafter, the method involves continuing to redirect the network data for processing by the virtual machine until expiration of a predetermined period of time without detection of malware, or continuing to redirect the network data for processing by the virtual machine beyond the predetermined period of time when malware is detected.

Abstract: A technique verifies a compound software code using a modularized architecture. The compound software code may be divided into smaller components or modules that provide various functions (e.g., services) of the code. A set of properties may be defined for the modules, such that the verification technique may be used to verify that the modules manifest those properties, wherein at least one property may be security related and the remaining properties may be related to the services of the modules. The compound software code is divided into smaller modules to facilitate verification of the properties related to the services provided by the modules. Properties of the modules may be verified in accordance with an enhanced verification procedure to demonstrate that the modules manifest those properties and transform those modules into verified code bases (VCBs).

Abstract: An electronic message is analyzed for malware contained in the message. Text of an electronic message may be analyzed to detect and process malware content in the electronic message itself. The present technology may analyze an electronic message and attachments to electronic messages to detect a uniform resource location (URL), identify whether the URL is suspicious, and analyze all suspicious URLs to determine if they are malware. The analysis may include re-playing the suspicious URL in a virtual environment which simulates the intended computing device to receive the electronic message. If the re-played URL is determined to be malicious, the malicious URL is added to a black list which is updated throughout the computer system.

Abstract: 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.

Abstract: 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.

Abstract: A system and method for detecting malicious activity within a Portable Document Format (PDF) document. The system includes a parser and one or more virtual machines. The parser that, when executed by a hardware processor, examines one or more portions of the PDF document to determine if one or more suspicious characteristics indicative of malicious network content are included in the one or more examined portions of the PDF document. The examined portion(s) in total are less than an entirety of the PDF document. The virtual machine(s) are adapted to receive the PDF document in response to the one or more examined portions of the PDF document being determined to include one or more suspicious characteristics indicative of malicious network content. The virtual machine(s) to process at least the one or more examined portions of the PDF document so as to determine whether the PDF document includes malicious network content.

Abstract: A micro-virtualization architecture deploys a threat-aware microvisor as a module of a virtualization system configured to facilitate real-time security analysis, including exploit detection and threat intelligence, of operating system processes executing in a memory of a node in a network environment. The micro-virtualization architecture organizes the memory as a user space and kernel space, wherein the microvisor executes in the kernel space of the architecture, while the operating system processes, an operating system kernel, a virtual machine monitor (VMM) and its spawned virtual machines (VMs) execute in the user space. Notably, the microvisor executes at the highest privilege level of a central processing unit of the node to virtualize access to kernel resources. The operating system kernel executes under control of the microvisor at a privilege level lower than a highest privilege level of the microvisor. The VMM and its spawned VMs execute at the highest privilege level of the microvisor.

Abstract: A malware detection system (MDS) appliance is configured to inject delay associated with delivery and/or processing of communication traffic directed to one or more endpoints in a network. The appliance may be positioned within the network to intercept and analyze (e.g., replay and instrument) one or more network packets of the communication traffic to detect whether an object of the packet contains malware. However, such analysis, e.g., malware detection analysis, may require extensive processing at the appliance and, thus, consume a considerable amount of time. Accordingly, the MDS appliance may inject delay into the delivery and/or processing of the object on the endpoint until the malware detection analysis completes and the malware is validated.

Abstract: A system is provided with one or more virtual machines and a replayer. The virtual machine(s) are configured to mimic operations of a first device. The replayer is configured to mimic operations of a second device. Herein, the replayer receives a portion of network data under analysis, dynamically modifies the portion of the network data, and transmits the modified portion of the network data to at least one virtual machine of the one or more virtual machines in accordance with a protocol sequence utilized between the first device and the second device.

Abstract: A method for accessing and navigating an aerial vehicle on a three-dimensional map of transportation skyways comprises requesting, from an aerial-vehicle-transportation database, a driving map based on a three-dimensional representation of one or more transportation skyways, the three-dimensional representation comprising information regarding an x-axis and a y-axis representing movement in a first plane and information regarding a z-axis representing movement in a second plane perpendicular to the first plane; receiving the driving map generated based on the information on the x-axis and the y-axis of movement, the driving map being determined based on the three-dimensional representation; receiving information on altitude-transition zones associated with the z-axis of movement of the aerial vehicle along the second plane; and storing, in a navigation system of the aerial vehicle, navigation information comprising the driving map and the altitude-transition zones.