NDLI: Configuration Fuzzing for Software Vulnerability Detection

Content Provider	IEEE Xplore Digital Library
Author	Huning Dai Murphy, C. Kaiser, G.
Copyright Year	2010
Abstract	Many software security vulnerabilities only reveal themselves under certain conditions, i.e., particular configurations of the software together with its particular run-time environment. One approach to detecting these vulnerabilities is fuzz testing, which feeds a range of randomly modified inputs to a software application while monitoring it for failures. However, typical fuzz testing makes no guarantees regarding the syntactic and semantic validity of the input, or of how much of the input space will be explored. To address these problems, in this paper we present a new testing methodology called configuration fuzzing. Configuration fuzzing is a technique whereby the configuration of the running application is randomly modified at certain execution points, in order to check for vulnerabilities that only arise in certain conditions. As the application runs in the deployment environment, this testing technique continuously fuzzes the configuration and checks "security invariants" that, if violated, indicate a vulnerability; however, the fuzzing is performed in a duplicated copy of the original process, so that it does not affect the state of the running application. In addition to discussing the approach and describing a prototype framework for implementation, we also present the results of a case study to demonstrate the approach's efficiency.
Starting Page	525
Ending Page	530
File Size	207428
Page Count	6
File Format	PDF
ISBN	9781424458790
e-ISBN	9781424458806
DOI	10.1109/ARES.2010.22
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-02-15
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software testing Availability Runtime environment Data security Vulnerability In Vivo testing Application software Fuzz testing Computer science Configuration fuzzing Space exploration Feeds Computer security Web server Security invariants
Content Type	Text
Resource Type	Article

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