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National Vulnerability Database (NVD) provides publicly known security vulnerabilities called Common Vulnerabilities and Exposures (CVE). There are a number of CVE entries, although, some of them cannot provide sufficient information, such as vulnerability type. In this paper, we propose a classification method of categorizing CVE entries into vulnerability type using naïve Bayes classifier. The classification ability of the method is evaluated by a set of testing data. We can analyze CVE entries that are not yet classified as well as uncategorized vulnerability documents.