The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Pixy: a static analysis tool for detecting Web application vulnerabilities
Abstract
The number and the importance of Web applications have increased rapidly over the last years. At the same time, the quantity and impact of security vulnerabilities in such applications have grown as well. Since manual code reviews are time-consuming, error-prone and costly, the need for automated solutions has become evident. In this paper, we address the problem of vulnerable Web applications by means of static source code analysis. More precisely, we use flow-sensitive, interprocedural and context-sensitive dataflow analysis to discover vulnerable points in a program. In addition, alias and literal analysis are employed to improve the correctness and precision of the results. The presented concepts are targeted at the general class of taint-style vulnerabilities and can be applied to the detection of vulnerability types such as SQL injection, cross-site scripting, or command injection. Pixy, the open source prototype implementation of our concepts, is targeted at detecting cross-site scripting vulnerabilities in PHP scripts. Using our tool, we discovered and reported 15 previously unknown vulnerabilities in three Web applications, and reconstructed 36 known vulnerabilities in three other Web applications. The observed false positive rate is at around 50% (i.e., one false positive for each vulnerability) and therefore, low enough to permit effective security audits
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Cites
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Securing web application code by static analysis and runtime protection
Huang, Y.-W., Yu, F., Hang, C., Tsai, C.-H., Lee, D.-T., & Kuo, S.-Y. (2004) · Proceedings of the 13th international conference on World Wide Web · doi:10.1145/988672.988679 · Cited by 567
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Automatically Hardening Web Applications Using Precise Tainting
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Static detection of security vulnerabilities in scripting languages
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Cited by
Information flow control for secure cloud computing
Bacon, J., Eyers, D., Pasquier, T. F. J.-M., Singh, J., Papagiannis, I., & Pietzuch, P. (2014) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2013.122313.130423 · Cited by 105
Weichselbaum, L., Spagnuolo, M., Lekies, S., & Janc, A. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/2976749.2978363 · Cited by 98
Metadata
- Authors
- Jovanovic, N., Kruegel, C., & Kirda, E.
- Venue
- 2006 IEEE Symposium on Security and Privacy (S&P'06)
- Publisher
- IEEE
- Published
- 2006
- Pages
- 6 pp.-263
- ISSN
- 1081-6011 (ISSN-L)
- OpenAlex
- W2085925880
- Cited by
- 722
- References
- 15
- FWCI
- 22.83
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Jovanovic, N., Kruegel, C., & Kirda, E. (2006). Pixy: a static analysis tool for detecting Web application vulnerabilities. 2006 IEEE Symposium on Security and Privacy (S&P'06). https://doi.org/10.1109/sp.2006.29
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