Detection of malicious code fragments via data-flow isolation
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United States of America Patent
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May 25, 2021
Grant Date -
May 23, 2019
app pub date -
Nov 21, 2017
filing date -
Nov 21, 2017
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Abstract
A method for detecting malicious code fragments based on data-flow isolation is provided. The method may include isolating data flows associated with a computing program for a user device. The method may further include mapping steps for the isolated data flow to modules associated with the computing program and the user device. The method may further include comparing the mapped steps to determine connections between the isolated data flows. The method may further include, based on the comparison of the mapped steps and the modules, determining whether the isolated data flows comprise malicious data flow deviations. The method may also include, in response to the determination that the isolated data flows comprise malicious data flow deviations, determining whether the computer program is malicious by weighing security risks associated with the malicious data flow deviations based on security risk factors.
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