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US Patent 11870795 Identifying attack behavior based on scripting language activity

Patent 11870795 was granted and assigned to Splunk on January, 2024 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Splunk
Splunk
1
Current Assignee
Splunk
Splunk
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
118707951
Patent Inventor Names
Madhupreetha Chandrasekaran1
Rodolfo Soto1
Joseph Auguste Zadeh1
Yijiang Li1
Date of Patent
January 9, 2024
1
Patent Application Number
173472781
Date Filed
June 14, 2021
1
Patent Citations
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US Patent 8589375 Real time searching and reporting
1
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US Patent 7937344 Machine data web
1
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US Patent 8112425 Time series search engine
1
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US Patent 8412696 Real time searching and reporting
1
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US Patent 9589012 Generation of a data model applied to object queries
1
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US Patent 9607148 Method and apparatus for detecting malware on a computer system
1
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US Patent 9652615 Systems and methods for analyzing suspected malware
1
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US Patent 9800590 Systems and methods for threat detection using a software program update profile
1
...
Patent Primary Examiner
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Bassam A Noaman
1
Patent abstract

Techniques for identifying attack behavior based on scripting language activity are disclosed. A security monitoring system generates a behavior profile for a first client device based on scripting language commands included in a first set of raw machine data received from the first client device, where the first client device is coupled to a network, and the first set of raw machine data is associated with network traffic received by or transmitted from the first client device. The security monitoring system analyzes a second set of raw machine data received from the first client device, where the second set of raw machine data is associated with subsequent network traffic received by or transmitted from the first client device. The security monitoring system detects an anomaly in the second set of raw machine data based on the behavior profile, and initiates a mitigation action in response to detecting the anomaly.

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