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With the success of the Cyber Grand Challenge (CGC) sponsored by DARPA, thetopic of Autonomous Cyber Reasoning System (CRS) has recently attractedextensive attention from both industry and academia. Utilizing automated systemto detect, exploit and patch software vulnerabilities seems so attractivebecause of its scalability and cost-efficiency compared with the human expertbased solution. In this paper, we give an extensive survey of formerrepresentative works related to the underlying technologies of a CRS, includingvulnerability detection, exploitation and patching. As an important supplement,we then review several pioneer studies that explore the potential of machinelearning technologies in this field, and point out that the future developmentof Autonomous CRS is inseparable from machine learning.

The Coming Era of AlphaHacking? A Survey of Automatic Software Vulnerability Detection, Exploitation and Patching Techniques