USING LARGE LANGUAGE MODELS TO GENERATE NATURAL LANGUAGE DESCRIPTIONS OF CODE FOR ENHANCED THREAT ANALYSIS AND MALWARE DETECTION

Abstract: a system and method of using generative ai to generate natural language descriptions of code for enhanced threat analysis and malware detection. the method includes determining that a file comprises source code for causing malicious activity. the method includes generating, by a processing device and using one or more large language models (llms), natural language (nl) descriptions of the source code responsive to determining whether the file comprises the source code to cause the malicious activity. the method includes providing the nl descriptions of the source code to a classification model trained to generate a first set of maliciousness scores each indicating whether source codes are associated with one or more types of malicious activity. the method includes generating, using the classification model, a maliciousness score for the source code indicating that the source code is associated with the one or more types of malicious activity.

Inventor(s): Damian Monea, Stefan-Bogdan Cocea, Mihaela-Petruta Gaman

CPC Classification: G06F21/51 (at application loading time, e.g. accepting, rejecting, starting or inhibiting executable software based on integrity or source reliability)

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