Patents by Inventor Bradley Noah Faskowitz

Bradley Noah Faskowitz 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).

  • UNDETECTABLE SANDBOX FOR MALWARE
    Publication number: 20230185902
    Abstract: Embodiments seek to prevent detection of a sandbox environment by a potential malware application. To this end, execution of the application is monitored, and provide information about the execution to a reinforcement learning machine learning model. The model generates a suggested modification to make to the executing application. The model is provided with information indicating whether the application executed successfully or not, and this information is used to train the model for additional modifications. By modifying the potential malware execution during its execution, detection of a sandbox environment is prevented, and analysis of the potential malware applications features are better understood.
    Type: Application
    Filed: January 30, 2023
    Publication date: June 15, 2023
    Inventors: Jugal PARIKH, Geoffrey Lyall McDonald, Mariusz Hieronim JAKUBOWSKI, Seyed Mehdi Fatemi Booshehri, Allan Gordon Lontoc Sepillo, Bradley Noah Faskowitz
  • Undetectable sandbox for malware
    Patent number: 11568052
    Abstract: Embodiments seek to prevent detection of a sandbox environment by a potential malware application. To this end, execution of the application is monitored, and provide information about the execution to a reinforcement learning machine learning model. The model generates a suggested modification to make to the executing application. The model is provided with information indicating whether the application executed successfully or not, and this information is used to train the model for additional modifications. By modifying the potential malware execution during its execution, detection of a sandbox environment is prevented, and analysis of the potential malware applications features are better understood.
    Type: Grant
    Filed: May 31, 2020
    Date of Patent: January 31, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jugal Parikh, Geoffrey Lyall McDonald, Mariusz H. Jakubowski, Seyed Mehdi Fatemi Booshehri, Allan Gordon Lontoc Sepillo, Bradley Noah Faskowitz
  • UNDETECTABLE SANDBOX FOR MALWARE
    Publication number: 20210374241
    Abstract: Embodiments seek to prevent detection of a sandbox environment by a potential malware application. To this end, execution of the application is monitored, and provide information about the execution to a reinforcement learning machine learning model. The model generates a suggested modification to make to the executing application. The model is provided with information indicating whether the application executed successfully or not, and this information is used to train the model for additional modifications. By modifying the potential malware execution during its execution, detection of a sandbox environment is prevented, and analysis of the potential malware applications features are better understood.
    Type: Application
    Filed: May 31, 2020
    Publication date: December 2, 2021
    Inventors: Jugal Parikh, Geoffrey Lyall McDonald, Mariusz H. Jakubowski, Seyed Mehdi Fatemi Booshehri, Allan Gordon Lontoc Sepillo, Bradley Noah Faskowitz