- Title
- Building a Graphical Fuzzing Framework
- Creator
- Zeisberger, Sascha, Irwin, Barry V W
- Subject
- To be catalogued
- Date
- 2012
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/429772
- Identifier
- vital:72638
- Identifier
- https://digifors.cs.up.ac.za/issa/2012/Proceedings/Research/59_ResearchInProgress.pdf
- Description
- Fuzz testing is a robustness testing technique that sends malformed data to an application’s input. This is to test an application’s behaviour when presented with input beyond its specification. The main difference between traditional testing techniques and fuzz testing is that in most traditional techniques an application is tested according to a specification and rated on how well the application conforms to that specification. Fuzz testing tests beyond the scope of a specification by intelligently generating values that may be interpreted by an application in an unintended manner. The use of fuzz testing has been more prevalent in academic and security communities despite showing success in production environments. To measure the effectiveness of fuzz testing, an experiment was conducted where several publicly available applications were fuzzed. In some instances, fuzz testing was able to force an application into an invalid state and it was concluded that fuzz testing is a relevant testing technique that could assist in developing more robust applications. This success prompted a further investigation into fuzz testing in order to compile a list of requirements that makes an effective fuzzer. The aforementioned investigation assisted in the design of a fuzz testing framework, the goal of which is to make the process more accessible to users outside of an academic and security environment. Design methodologies and justifications of said framework are discussed, focusing on the graphical user interface components as this aspect of the framework is used to increase the usability of the framework.
- Format
- 8 pages, pdf
- Language
- English
- Relation
- Information Security for South Africa, Zeisberger, S. and Irwin, B., 2012. Building a Graphical Fuzzing Framework. Jul, 13, pp.1-7. In 2012 Information Security for South Africa (pp. 1-8). IEEE, Information Security for South Africa volume 2012 number 1 1 8 2013 2330-9881
- Rights
- Publisher
- Rights
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