Malware clustering based on function call graph similarity
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 function call graph similarity. In some embodiments, a computer system may access information corresponding to a plurality of malware samples and, based on the information, generate a function call graph for each of the malware samples. In some embodiments, generating the function call graph for a given malware sample includes identifying a plurality of function calls included in the information, assigning a label to each of the function calls, identifying relationships between the function calls, and generating the function call graph based on the relationships and the labels. Based on the function call graphs, the computer system may assign each of the plurality of malware samples into one of a plurality of clusters of related malware samples.
A method, comprising:
A non-transitory, computer-readable medium having instructions stored thereon that are executable by a server system to perform operations comprising:
A method, comprising:
Dependencies are inferred from the claim text.