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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Discovering buffer overflow vulnerabilities in the wild

an empirical study
Authors: Ming Fang; Munawar Hafiz;

Discovering buffer overflow vulnerabilities in the wild

Abstract

Context: Reporters of security vulnerabilities possess rich information about the security engineering process. Goal: We performed an empirical study on reporters of buffer overflow vulnerabilities to understand the methods and tools used during the discovery. Method: We ran the study in the form of an email questionnaire with open ended questions. The participants were reporters featured in the SecurityFocus repository during two six-month periods; we collected 58 responses. Results: We found that in spite of many apparent choices, reporters follow similar approaches. Most reporters typically use fuzzing, but their fuzzing tools are created ad hoc; they use a few debugging tools to analyze the crash introduced by a fuzzer; and static analysis tools are rarely used. We also found a serious problem in the vulnerability reporting process. Most reporters, especially the experienced ones, favor full-disclosure and do not collaborate with the vendors of vulnerable software. They think that the public disclosure, sometimes supported by a detailed exploit, will put pressure on vendors to fix the vulnerabilities. But, in practice, the vulnerabilities not reported to vendors are less likely to be fixed. Conclusions: The results are valuable for beginners exploring how to detect and report buffer overflows and for tool vendors and researchers exploring how to automate and fix the process.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Top 10%
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