UNDETECTABLE SANDBOX FOR MALWARE

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 m...

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Bibliographic Details
Main Authors PARIKH, Jugal, JAKUBOWSKI, Mariusz Hieronim, McDonald, Geoffrey Lyall, Sepillo, Allan Gordon Lontoc, Faskowitz, Bradley Noah, Fatemi Booshehri, Seyed Mehdi
Format Patent
LanguageEnglish
Published 15.06.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary: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.
Bibliography:Application Number: US202318103159