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US Patent 12135786 Method and system for identifying malware

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
121357861
Patent Inventor Names
Dmitry Aleksandrovich Volkov1
Nikolay Sergeevich Prudkovskij1
Date of Patent
November 5, 2024
1
Patent Application Number
176855881
Date Filed
March 3, 2022
1
Patent Citations
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US Patent 9934376 Malware detection appliance architecture
1
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US Patent 10148685 Event correlation across heterogeneous operations
1
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US Patent 10284574 System and method for threat detection and identification
1
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US Patent 10467411 System and method for generating a malware identifier
1
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US Patent 10514909 Similarity of binaries
1
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US Patent 10546143 System and method for clustering files and assigning a maliciousness property based on clustering
1
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US Patent 10783247 Software classification using phylogenetic techniques
1
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US Patent 10990674 Malware clustering based on function call graph similarity
1
...
Patent Primary Examiner
‌
Tri M Tran
1
CPC Code
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G06N 20/20
1
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H04L 63/1416
1
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G06F 2221/033
1
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G06F 21/566
1
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G06F 21/53
1
Patent abstract

A method and a system for identifying malware are provided. The method comprises: during a training phase: receiving a given sample of training malware; analyzing the given sample of training malware; generating a respective behavioral report including indications of actions executed thereby in the isolated environment; determining, by analyzing the actions, for each one of the plurality of samples of training malware, a respective malware family thereof; identifying, within the respective behavioral reports associated with each one of the plurality of samples of training malware, a report group of behavioral reports associated with the samples of training malware of a given malware family; generating, for the given malware family, sets of training feature vectors; training a given classifier of an ensemble of classifiers, based on a respective set of training feature vectors to determine if a given in-use sample of malware is of the given malware family.

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