The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Using programmer-written compiler extensions to catch security holes
Abstract
This paper shows how system-specific static analysis can find security errors that violate rules such as "integers from untrusted sources must be sanitized before use" and "do not dereference user-supplied pointers." In our approach, programmers write system-specific extensions that are linked into the compiler and check their code for errors. We demonstrate the approach's effectiveness by using it to find over 100 security errors in Linux and OpenBSD, over 50 of which have led to kernel patches. An unusual feature of our approach is the use of methods to automatically detect when we miss code actions that should be checked.
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Citations
Cites
A decentralized model for information flow control
Myers, A. C., & Liskov, B. (1997) · Proceedings of the sixteenth ACM symposium on Operating systems principles · doi:10.1145/268998.266669 · Cited by 536
Cited by
Pixy: a static analysis tool for detecting Web application vulnerabilities
Jovanovic, N., Kruegel, C., & Kirda, E. (2006) · 2006 IEEE Symposium on Security and Privacy (S&P'06) · doi:10.1109/sp.2006.29 · Cited by 722
Static Analysis of Executables to Detect Malicious Patterns
Christodorescu, M., & Jha, S. (2006) · doi:10.21236/ada449067 · Cited by 600
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
Metadata
- Authors
- Ashcraft, K., & Engler, D.
- Venue
- Proceedings 2002 IEEE Symposium on Security and Privacy
- Publisher
- IEEE Comput. Soc
- Published
- 2005-08-25
- Pages
- 143-159
- ISSN
- 1081-6011 (ISSN-L)
- OpenAlex
- W1600965014
- Cited by
- 204
- References
- 1
- FWCI
- 17.89
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
