Automated Crash Filtering for ARM Binary Programs

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 th...

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Bibliographic Details
Published in2015 IEEE 39th Annual Computer Software and Applications Conference Vol. 2; pp. 478 - 483
Main Authors Eom, Ki-Jin, Paik, Joon-Young, Mok, Seong-Kyun, Jeon, Hyeon-Gu, Cho, Eun-Sun, Kim, Dong-Woo, Ryu, Jaecheol
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.07.2015
Subjects
Algorithm design and analysis
Applications programs
binary analyses
Binary codes
compiler optimization techniques
Computer bugs
Computer programs
Conferences
Crashes
Filtering
Flow graphs
Registers
Security
Software
static program analyses
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
ISSN:0730-3157
DOI:10.1109/COMPSAC.2015.139