70 results about "Malware analysis" patented technology

An automated malware analysis method is disclosed which can perform receiving a first universal resource locator identifying a first intermediate network node, accessing the first intermediate network node to retrieve a first malware artifact file, storing the malware artifact file in a data storage device, analyzing the malware artifact file to identify a second universal resource locator within the malware artifact file, and accessing a second intermediate network node to retrieve a second malware artifact file.

An initial trust status is assigned to a first object, the trust status representing one of either a relatively higher trust level or a relatively lower trust level. Based on the trust status, the first object is associated with an event type to be monitored, where the event type is selected from among: essential events, occurrence of which is informative as to trust status evaluating for an object, and critical events, including the essential events, and additional events, occurrence of which is informative as to execution of suspicious code. Occurrences of events relating to the first object are monitored. In response to the first object being assigned the relatively higher trust level, only the essential events are monitored. In response to the first object being assigned the relatively lower trust level, the critical events are monitored. A need for performing malware analysis is determined based on the trust status of the first object and the event type. In response to determination of the need for performing the malware analysis, the malware analysis for the first object is either performed, or not.

A method, apparatus and program product are provided to recognize malware in a computing environment having at least one computer. A sample is received. An automatic determination is made by the at least one computer to determine if the sample is malware using static analysis methods. If the static analysis methods determine the sample is malware, dynamic analysis methods are used by the at least one computer to automatically determine if the sample is malware. If the dynamic analysis methods determine the sample is malware, the sample is presented to a malware analyst to adjudicate the automatic determinations of the static and dynamic analysis. If the adjudication determines the sample is malware, a response action is initiated to recover from or mitigate a threat of the sample.

A submission process for a malware detection system including one or more sensors and a cluster including one or more computing nodes is described. The process includes the sensor that determines whether a prior malware analysis has been conducted on any previously submitted object matching the object under analysis. If not, the process determines whether the object is suspicious, namely a first probability of the first object being associated with malware. If suspicious, metadata associated with the suspicious object is sent to an analysis coordinator of a first computing node of the cluster. The metadata is used in determining whether a prior malware analysis has been previously conducted within the cluster on any object that matches the suspicious object. The metadata is also used in fetching, by an object analyzer of the same or a different computing node of the cluster, the suspicious object from the sensor for malware analysis.