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Predicting Vulnerable Software Components - CCS 2007
by Stephan Neuhaus, Thomas Zimmermann, Christian Holler, Andreas Zeller

Proceedings of the 14th ACM Conference on Computer and Communications Security, October 2007.

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We introduce Vulture, a new approach and tool to predict vulnerable components in large software systems. Vulture relates a software project's version archive to its vulnerability database to find those components that had vulnerabilities in the past. It then analyzes the import structure of software components and uses a support vector machine to learn and predict which imports are most important for a component to be vulnerable. We evaluated Vulture on the C++ codebase of Mozilla and found that Vulture correctly identifies about two thirds of all vulnerable components. This allows developers and project managers to focus their testing and inspection efforts: "We should look at nsXPInstallManager more closely, because it is likely to contain yet unknown vulnerabilities."

BibTeX Entry

    title = "Predicting Vulnerable Software Components",
    author = "Stephan Neuhaus and Thomas Zimmermann and Christian Holler and Andreas Zeller",
    year = "2007",
    month = oct,
    booktitle = "Proceedings of the 14th ACM Conference on Computer and Communications Security",
    location = "Alexandria, VA, USA",

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