International Business Machines Corporation
PREDICTING CODE VULNERABILITIES USING MACHINE LEARNING CLASSIFIER MODELS TRAINED ON INTERNAL ANALYSIS STATES

Abstract:

An example system includes a processor to receive a source code sample to be classified. The processor can execute a hybrid code analysis to generate an internal analysis state. The processor can extract features from the internal analysis state via a trained machine learning model modified using transfer learning. The processor can generate a label based on the extracted features via a machine learning classifier model trained on internal analysis states of hybrid code analyses.