Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities

Zimin Chen; Steve Kommrusch; Martin Monperrus

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arXiv · 1912.02015

Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities

Zimin Chen·Steve Kommrusch·Martin Monperrus

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Abstract

Software vulnerabilities affect all businesses and research is being done to avoid, detect or repair them. In this article, we contribute a new technique for automatic vulnerability fixing. We present a system that uses the rich software development history that can be found on GitHub to train an AI system that generates patches. We apply sequence-to-sequence learning on a big dataset of code changes and we evaluate the trained system on real world vulnerabilities from the CVE database. The result shows the feasibility of using sequence-to-sequence learning for fixing software vulnerabilities.

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Zimin Chen, Steve Kommrusch, Martin Monperrus. 2019-12-04. Using Sequence-to-Sequence Learning for Repairing C Vulnerabilities. https://arxiv.org/abs/1912.02015

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