Malware Clustering Based on Analysis of Execution-Behavior Reports
AssigneeAlienVault, Inc.
InventorsSrivathsan Srinivasagopalan, Alex Lisle, Russell Spitler, Roger Thornton
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AssigneeAlienVault, Inc.
InventorsSrivathsan Srinivasagopalan, Alex Lisle, Russell Spitler, Roger Thornton
Estimating the term…
Techniques are disclosed relating to malware clustering based on execution-behavior reports. In some embodiments, a computer system may access malware information that includes a plurality of reports corresponding to a plurality of malware samples. In some embodiments, each of the malware reports specifies a set of features relating to execution behavior of a corresponding malware sample. The computer system may, in various embodiments, process the plurality of reports to generate a plurality of vectors that includes, for each of the malware samples, a corresponding vector indicative of the execution behavior of the corresponding malware sample. Based on the plurality of vectors, the computer system may generate similarity values indicative of a similarity between ones of the plurality of vectors. Further, based on the similarity values, the computer system may assign each of the plurality of malware samples to one of a plurality of clusters of related malware samples.
A method comprising:
A non-transitory, computer-readable medium having instructions stored thereon that, when executed by a processor of a computer system, cause the processor to perform operations comprising:
A system comprising:
Dependencies are inferred from the claim text.