Evolving indigestible codes: Fuzzing interpreters with genetic programming

Author

Rawat, Seema ; Duchene, Fabien ; Groz, Roland ; Richier, Jean-Luc

Author_Institution

LIG Comput. Sci. Lab., Grenoble INP Ensimag, Grenoble, France

fYear

2013

fDate

16-19 April 2013

Firstpage

37

Lastpage

39

Abstract

Browsers have become an interface to perform a plethora of activities. This situation led to the integration of various software components in browsers, including interpreters for many web-friendly scripting languages e.g. JavaScript. In this article, we propose an application of genetic programming to the area of fuzzing the interpreters by generating codes that may trigger crashes and thereby indicating the presence of some hidden vulnerabilities. Based on our previous work on smart fuzzing with genetic approaches, we present here elements for an extension of the concept to fuzz browser interpreters.

Keywords

authoring languages; genetic algorithms; online front-ends; program interpreters; Web browser; Web-friendly scripting languages; browser interpreters fuzzing; code generation; genetic programming; indigestible code evolution; smart fuzzing approach; software component; Browsers; Computer bugs; Genetic programming; Reactive power; Security; Testing; Black-Box; Evolutionary Testing; Fuzzing; Genetic Programming; Interpreter; Memory Corruption;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence in Cyber Security (CICS), 2013 IEEE Symposium on

Conference_Location

Singapore

Type

conf

DOI

10.1109/CICYBS.2013.6597203

Filename

6597203