Seong-Kyun Mok

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This paper aims to help to differentiate security related crashes from benign vulnerabilities, using static taint-analysis. To achieve this goal, we propose a tool named Crash Filter, which determines if a crash can be made to be exploitable or not, by analyzing ARM binary codes. We envision that the proposed analysis would help to timely fix(More)
This paper introduces a static binary analysis tool called CrashFilter, which classifies the crashes arisen during the test, according to the risk levels. It has advantages in accuracy and provides wider coverage of analysis, due to newly introduced analyses–Memory Location Analysis and Inter-Procedure Analysis.
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