Patents by Inventor Joakim Kennedy

Joakim Kennedy 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).

  • Web shell classifier training
    Patent number: 11354412
    Abstract: Methods and systems for identifying malicious applications and, more particularly, to identifying web shell applications. Embodiments described herein rely on machine learning tools to analyze static and dynamic features of a suspected file to determine whether the file is a web shell application.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: June 7, 2022
    Assignee: Rapid7, Inc.
    Inventors: Aditya Kuppa, Oliver Keyes, Joakim Kennedy, Ilya Biryukov
  • Identifying web shell applications through lexical analysis
    Patent number: 11347852
    Abstract: Methods and systems for identifying malicious applications and, more particularly, to identifying web shell applications. Embodiments described herein rely on machine learning tools to analyze static and dynamic features of a suspected file to determine whether the file is a web shell application.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: May 31, 2022
    Assignee: Rapid7, Inc.
    Inventors: Aditya Kuppa, Oliver Keyes, Joakim Kennedy, Ilya Biryukov
  • Identifying web shell applications through file analysis
    Patent number: 10366234
    Abstract: Methods and systems for identifying malicious applications and, more particularly, to identifying web shell applications. Embodiments described herein rely on machine learning tools to analyze static and dynamic features of a suspected file to determine whether the file is a web shell application.
    Type: Grant
    Filed: September 16, 2016
    Date of Patent: July 30, 2019
    Assignee: Rapid7, Inc.
    Inventors: Aditya Kuppa, Oliver Keyes, Joakim Kennedy, Ilya Biryukov
  • Web shell detection
    Publication number: 20180082063
    Abstract: Methods and systems for identifying malicious applications and, more particularly, to identifying web shell applications. Embodiments described herein rely on machine learning tools to analyze static and dynamic features of a suspected file to determine whether the file is a web shell application.
    Type: Application
    Filed: September 16, 2016
    Publication date: March 22, 2018
    Inventors: Aditya Kuppa, Oliver Keyes, Joakim Kennedy, Ilya Biryukov