Automated Crash Filtering for ARM Binary Programs
Ki-Jin Eom, Joon‐Young Paik, Seong-Kyun Mok, Hyeon-Gu Jeon, Eun-Sun Cho, Dong-Woo Kim, Jae-Cheol Ryu · 2015
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 security-critical bugs.