Abstract: A method for identifying suspicious activity on a monitored computing device is described. In one embodiment, the method may include monitoring a local procedure call interface of the monitored computing device, identifying, based at least in part on the monitoring, a remote procedure call (RPC) of a suspicious process, the RPC being transmitted over a local procedure call message of the local procedure call interface, analyzing the RPC of the suspicious process, and performing a security action based at least in part on the analyzing.

Abstract: The disclosed computer-implemented method for safely executing unreliable malware may include (i) intercepting a call to an application programming interface (API) in a computing operating system, the API being utilized by malware for disseminating malicious code, (ii) determining an incompatibility between the API call and the computing operating system that prevents successful execution of the API call, (iii) creating a proxy container for receiving the API call, (iv) modifying, utilizing the proxy container, the API call to be compatible with the computing operating system, (v) sending the modified API call from the proxy container to the computing operating system for retrieving the API utilized by the malware, and (vi) performing a security action during a threat analysis of the malware by executing the API to disseminate the malicious code in a sandboxed environment. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method for determining sandbox configurations for malware analysis is described. In one embodiment, the method may include receiving a plurality of files, extracting at least one element from at least one file from the plurality of files, identifying one or more properties associated with an endpoint, determining a correlation between the at least one extracted element and the one or more properties of the endpoint, and determining one or more sandbox configurations based at least in part on the determined correlation. In some cases, the endpoint is related to at least one of the plurality of files.

Abstract: The present disclosure relates to executing software within an execution safety container. An example method generally includes detecting that a memory address referenced by a stack pointer has changed from a first memory address to a second memory address. An execution safety container compares the referenced memory address to a memory address range associated with an application, and upon determining that the referenced memory address is not within the memory address range associated with the application, takes one or more actions to avoid occurrences of unhandled exceptions caused by the referenced memory address being outside of a memory address range associated with an application.

Abstract: A method for determining sandbox configurations for malware analysis is described. In one embodiment, the method may include receiving a plurality of files, extracting at least one element from at least one file from the plurality of files, identifying one or more properties associated with an endpoint, determining a correlation between the at least one extracted element and the one or more properties of the endpoint, and determining one or more sandbox configurations based at least in part on the determined correlation. In some cases, the endpoint is related to at least one of the plurality of files.