POWER: Program Option-Aware Fuzzer for High Bug Detection Ability

Citations

WEB OF SCIENCE

16
Citations

SCOPUS

20

초록

Most programs with command-line interface (CLI) have dozens of command-line options (e.g.,-l,-F,-R for ls) to alternate the operation of the programs. Thus, depending on the option configurations (i.e., a list of options like-l-F and-F-R) applied during fuzzing, the test coverage and crash detection results can vary significantly. In this paper, we propose a novel fuzzing technique POWER that detects more crashes than the cutting-edge fuzzers by actively constructing and carefully selecting various program option configurations. The salient idea of POWER is to enforce diverse executions of a target program by selecting a set of the option configurations each of which is far 'different/distant' from the others in the set. Another core idea of POWER is to apply different fuzzing strategies to different input domains (i.e., option configurations and input files) to increase testing effectiveness within limited time budget. The experiment results on the 30 real-world programs show that POWER detects significantly more crash bugs than the state-of-the-art fuzzing techniques.

키워드

Automated test generationcrash bug detectiondynamic analysisdynamic function relevancefuzzingprogram option configurationsCrashworthinessProgram debuggingSoftware testingBudget controlAutomated test generationsBug detectionCommand lineCrash bug detectionDetection abilityDynamic function relevanceDynamic functionsDynamics analysisFuzzingProgram option configuration
제목
POWER: Program Option-Aware Fuzzer for High Bug Detection Ability
저자
Lee, AhcheongAriq, IrfanKim, YunhoKim, Moonzoo
DOI
10.1109/ICST53961.2022.00032
발행일
2022-04
유형
Proceedings Paper
저널명
2022 IEEE 15TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION (ICST 2022)
페이지
220 ~ 231