Adding diversity and realism to LAVA, a vulnerability addition system
Author(s)
Sridhar, Rahul
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Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Timothy Leek.
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Show full item recordAbstract
In this thesis, I designed and implemented several modifications to LAVA, a vulnerability addition system, with the goal of improving realism and diversity of the injected bugs. Specifically, I describe three separate improvements: a method to add fake bugs alongside real ones in order to decrease bug discoverability, two approaches to increase the complexity of the data flow of the inserted bugs, and a standalone program that uses equality saturation to diversify C-source codebases that can be added as a final stage to LAVA. Finally, I present two instances of bug-finding competitions-AutoCTF and Rode0day-that I helped design and run, which leveraged LAVA and the augmentations described in this thesis in order to accomplish their respective goals.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 63-64).
Date issued
2018Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.