Understanding vulnerabilities is critical to understanding the threats they represent. Vulnerabilities classification enables collection of frequency data; trend analysis of vulnerabilities; correlation with incidents, exploits, and artifacts; and evaluation of the effectiveness of countermeasures. Existing classification schemes are based on vulnerability reports and not on an engineering analysis of the problem domain. In this report a classification scheme that uses attribute-value pairs to provide a multidimensional view of vulnerabilities is proposed. Attributes and values are selected based on engineering distinctions that allow vulnerabilities to be exploited by a given technique or determine which countermeasures are effective. Successful classification of vulnerabilities should lead to greater automation in analyzing code vulnerabilities and supporting effective communication between geographically remote vulnerability handling teams and vendors.
This report is related to the following area(s) of work:
Security and SurvivabilityTechnical Note
CMU/SEI-2005-TN-003
January 2005
SEI:
Seacord, Robert; & Householder, Allen. Structured Approach to Classifying Security Vulnerabilities, A (CMU/SEI-2005-TN-003). Software Engineering Institute, Carnegie Mellon University, 2005. http://www.sei.cmu.edu/library/abstracts/reports/05tn003.cfm
IEEE:
R. Seacord, and A. Householder, "Structured Approach to Classifying Security Vulnerabilities, A," Software Engineering Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, Technical Note CMU/SEI-2005-TN-003, 2005. http://www.sei.cmu.edu/library/abstracts/reports/05tn003.cfm
APA:
Seacord, R., & Householder, A. (2005). Structured Approach to Classifying Security Vulnerabilities, A (CMU/SEI-2005-TN-003). Retrieved May 21, 2013, from the Software Engineering Institute, Carnegie Mellon University website: http://www.sei.cmu.edu/library/abstracts/reports/05tn003.cfm
CHI:
Seacord, Robert, and Allen Householder. Structured Approach to Classifying Security Vulnerabilities, A (CMU/SEI-2005-TN-003). Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University, 2005. http://www.sei.cmu.edu/library/abstracts/reports/05tn003.cfm
MLA:
Seacord, R., & Householder, A. 2005. Structured Approach to Classifying Security Vulnerabilities, A (Technical Report CMU/SEI-2005-TN-003). Pittsburgh: Software Engineering Institute, Carnegie Mellon University. http://www.sei.cmu.edu/library/abstracts/reports/05tn003.cfm
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