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US Patent 9594904 Detecting malware based on reflection

Patent 9594904 was granted and assigned to FireEye on March, 2017 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Applicant
FireEye
FireEye
1
Current Assignee
FireEye
FireEye
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
95949041
Patent Inventor Names
Abhishek Singh1
Varun Jain1
Date of Patent
March 14, 2017
1
Patent Application Number
146947961
Date Filed
April 23, 2015
1
Patent Citations Received
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US Patent 12074887 System and method for selectively processing content after identification and removal of malicious content
2
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US Patent 11997111 Attribute-controlled malware detection
3
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US Patent 12028361 Intelligent detection and prevention of anomalies in interface protocols
4
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6
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US Patent 12069087 System and method for analyzing binary code for malware classification using artificial neural network techniques
7
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US Patent 11677786 System and method for detecting and protecting against cybersecurity attacks on servers
8
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US Patent 11683692 Protecting against potentially harmful app installation on a mobile device
9
...
Patent Primary Examiner
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Aravind Moorthy
1
Patent abstract

According to one embodiment of the disclosure, a computerized method is described to detect a malicious object through its attempt to utilize reflection. The computerized method comprises receiving, by a network device, an object for analysis. Thereafter, the network device conducts a first analysis within a sandboxed environment. The first analysis determines whether the object is configured to utilize reflection. According to one embodiment, the first analysis involves analysis of the content of the object by a static analysis engine. Alternatively, or in addition to this analysis, the behavior of the object by an attempt to access a reflection API may determine that the object is utilizing reflection. Responsive to the network device determining that the object utilizes reflection, a second analysis is conducted to determine whether the object is malicious.

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