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Risk-based attack surface approximation: poster

Published: 19 April 2016 Publication History

Abstract

Proactive security review and test efforts are a necessary component of the software development lifecycle. Since resource limitations often preclude reviewing, testing and fortifying the entire code base, prioritizing what code to review/test can improve a team's ability to find and remove more vulnerabilities that are reachable by an attacker. One way that professionals perform this prioritization is the identification of the attack surface of software systems. However, identifying the attack surface of a software system is non-trivial. The goal of this poster is to present the concept of a risk-based attack surface approximation based on crash dump stack traces for the prioritization of security code rework efforts. For this poster, we will present results from previous efforts in the attack surface approximation space, including studies on its effectiveness in approximating security relevant code for Windows and Firefox. We will also discuss future research directions for attack surface approximation, including discovery of additional metrics from stack traces and determining how many stack traces are required for a good approximation.

References

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Bird, J. and Manico, J. OWASP Attack Surface Analysis Cheat Sheet. Open Web Application Security Project, 2015. https://www.owasp.org/index.php/Attack_Surface_Analysis_Cheat_Sheet.
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Dang, Y., Wu, R., Zhang, H., Zhang, D., and Nobel, P. ReBucket: A method for clustering duplicate crash reports based on call stack similarity. Proceedings - International Conference on Software Engineering, (2012), 1084--1093.
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Geer, D. E. Attack surface inflation. IEEE Security and Privacy 9, 4 (2011), 85--86.
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Guo, P. J., Zimmermann, T., Nagappan, N., and Murphy, B. Characterizing and predicting which bugs get fixed. Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - ICSE '10, (2010), 495.
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Howard, M., Pincus, J., and Wing, J. M. Measuring Relative Attack Surfaces. Computer Security in the 21st Century, CMU-TR-03-169 (2005), 109--137.
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Huang, S. K., Huang, M. H., Huang, P. Y., Lu, H. L., and Lai, C. W. Software crash analysis for automatic exploit generation on binary programs. IEEE Transactions on Reliability 63, 1 (2014), 270--289.
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Kim, D., Wang, X., Kim, S., Zeller, A., Cheung, S. C., and Park, S. Which crashes should i fix first?: Predicting top crashes at an early stage to prioritize debugging efforts. IEEE Transactions on Software Engineering 37, 3 (2011), 430--447.
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Manadhata, P. K. and Wing, J. M. An attack surface metric. IEEE Transactions on Software Engineering 37, 3 (2011), 371--386.
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Podgurski, A., Leon, D., Francis, P., et al. Automated support for classifying software failure reports. 25th International Conference on Software Engineering, 2003. Proceedings., (2003), 465--475.
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Theisen, C., Herzig, K., Morrison, P., Murphy, B., and Williams, L. Approximating Attack Surfaces with Stack Traces. IEEE/ACM 37th IEEE International Conference on Software Engineering, (2015).
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Thome, J., Shar, L. K., and Briand, L. Security slicing for auditing XML, XPath, and SQL injection vulnerabilities. 2015 IEEE 26th International Symposium on Software Reliability Engineering (ISSRE), (2015), 553--564.
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Wang, S., Khomh, F., and Zou, Y. Improving bug localization using correlations in crash reports. IEEE International Working Conference on Mining Software Repositories, (2013), 247--256.
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Zimmermann, T., Premraj, R., Bettenburg, N., Just, S., Schröter, A., and Weiss, C. What makes a good bug report? IEEE Transactions on Software Engineering 36, (2010), 618--643.

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cover image ACM Other conferences
HotSos '16: Proceedings of the Symposium and Bootcamp on the Science of Security
April 2016
138 pages
ISBN:9781450342773
DOI:10.1145/2898375
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 April 2016

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Author Tags

  1. attack surface
  2. crash dumps
  3. metrics
  4. security
  5. stack traces

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HotSoS '16
HotSoS '16: HotSos 2016 Science of Security
April 19 - 21, 2016
Pennsylvania, Pittsburgh

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Overall Acceptance Rate 34 of 60 submissions, 57%

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