Patents by Inventor Suchin Gururangan

Suchin Gururangan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Classifying locator generation kits
    Patent number: 11310200
    Abstract: A method and system for classifying malicious locators where a processor is trained on a set of known malicious locators using a non-supervised learning procedure. Once trained, the processor may classify new locators as being generated by a particular generation kit.
    Type: Grant
    Filed: January 30, 2020
    Date of Patent: April 19, 2022
    Assignee: Rapid7, Inc.
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Neutralizing malicious locators
    Patent number: 10855704
    Abstract: Methods and systems for neutralizing malicious locators. Threat actors may shut down their web pages or applications (i.e., resources) that serve malicious content upon receiving request(s) configured to be perceived by the resource as non-browser requests. Therefore, initiating (large-scale) non-browser requests, or requests that are at least perceived as non-browser requests, may effectively act to inhibit, or even nullify, intended attack vectors.
    Type: Grant
    Filed: February 11, 2020
    Date of Patent: December 1, 2020
    Assignee: Rapid7, Inc.
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Neutralizing malicious locators
    Patent number: 10601846
    Abstract: Methods and systems for neutralizing malicious locators. Threat actors may shut down their web pages or applications (i.e., resources) that serve malicious content upon receiving request(s) configured to be perceived by the resource as non-browser requests. Therefore, initiating (large-scale) non-browser requests, or requests that are at least perceived as non-browser requests, may effectively act to inhibit, or even nullify, intended attack vectors.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: March 24, 2020
    Assignee: Rapid7, Inc.
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Classifying locator generation kits
    Patent number: 10594655
    Abstract: Methods and systems for classifying malicious locators. A processor is trained on a set of known malicious locators using a non-supervised learning procedure. Once trained, the processor may classify new locators as being generated by a particular generation kit.
    Type: Grant
    Filed: January 8, 2019
    Date of Patent: March 17, 2020
    Assignee: Rapid7, Inc.
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Classifying locator generation kits
    Publication number: 20190141012
    Abstract: Methods and systems for classifying malicious locators. A processor is trained on a set of known malicious locators using a non-supervised learning procedure. Once trained, the processor may classify new locators as being generated by a particular generation kit.
    Type: Application
    Filed: January 8, 2019
    Publication date: May 9, 2019
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Neutralizing malicious locators
    Publication number: 20190141065
    Abstract: Methods and systems for neutralizing malicious locators. Threat actors may shut down their web pages or applications (i.e., resources) that serve malicious content upon receiving request(s) configured to be perceived by the resource as non-browser requests. Therefore, initiating (large-scale) non-browser requests, or requests that are at least perceived as non-browser requests, may effectively act to inhibit, or even nullify, intended attack vectors.
    Type: Application
    Filed: December 31, 2018
    Publication date: May 9, 2019
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Classifying locator generation kits
    Patent number: 10205704
    Abstract: Methods and systems for classifying malicious locators. A processor is trained on a set of known malicious locators using a non-supervised learning procedure. Once trained, the processor may classify new locators as being generated by a particular generation kit.
    Type: Grant
    Filed: July 1, 2016
    Date of Patent: February 12, 2019
    Assignee: Rapid 7, Inc.
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Neutralizing malicious locators
    Patent number: 10200383
    Abstract: Methods and systems for neutralizing malicious locators. Threat actors may shut down their web pages or applications (i.e., resources) that serve malicious content upon receiving request(s) configured to be perceived by the resource as non-browser requests. Therefore, initiating (large-scale) non-browser requests, or requests that are at least perceived as non-browser requests, may effectively act to inhibit, or even nullify, intended attack vectors.
    Type: Grant
    Filed: June 29, 2016
    Date of Patent: February 5, 2019
    Assignee: Rapid7, Inc.
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Identifying malicious identifiers
    Patent number: 10033757
    Abstract: Methods and systems for identifying malicious URIs. The system accepts a list of URIs as input and extracts features related to a given URI and uses the features to discover patterns that indicate malicious content. Once trained, the classifier can then classify new inputs as either malicious or non-malicious.
    Type: Grant
    Filed: June 9, 2016
    Date of Patent: July 24, 2018
    Assignee: Rapid7, Inc.
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Classifying locator generation kits
    Publication number: 20180007003
    Abstract: Methods and systems for classifying malicious locators. A processor is trained on a set of known malicious locators using a non-supervised learning procedure. Once trained, the processor may classify new locators as being generated by a particular generation kit.
    Type: Application
    Filed: July 1, 2016
    Publication date: January 4, 2018
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Neutralizing malicious locators
    Publication number: 20180007065
    Abstract: Methods and systems for neutralizing malicious locators. Threat actors may shut down their web pages or applications (i.e., resources) that serve malicious content upon receiving request(s) configured to be perceived by the resource as non-browser requests. Therefore, initiating (large-scale) non-browser requests, or requests that are at least perceived as non-browser requests, may effectively act to inhibit, or even nullify, intended attack vectors.
    Type: Application
    Filed: June 29, 2016
    Publication date: January 4, 2018
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece
  • Identifying malicious identifiers
    Publication number: 20170359368
    Abstract: Methods and systems for identifying malicious URIs. The system accepts a list of URIs as input and extracts features related to a given URI and uses the features to discover patterns that indicate malicious content. Once trained, the classifier can then classify new inputs as either malicious or non-malicious.
    Type: Application
    Filed: June 9, 2016
    Publication date: December 14, 2017
    Inventors: Roy Hodgman, Aditya Kuppa, Suchin Gururangan, Andrew Reece