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Computer Science > Cryptography and Security

arXiv:2303.07990 (cs)
[Submitted on 14 Mar 2023]

Title:Half-Day Vulnerabilities: A study of the First Days of CVE Entries

Authors:Kobra Khanmohammadi, Raphael Khoury
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Abstract:The National Vulnerability Disclosure Database is an invaluable source of information for security professionals and researchers. However, in some cases, a vulnerability report is initially published with incomplete information, a situation that complicates incident response and mitigation. In this paper, we perform an empirical study of vulnerabilities that are initially submitted with an incomplete report, and present key findings related to their frequency, nature, and the time needed to update them. We further present a novel ticketing process that is tailored to addressing the problems related to such vulnerabilities and demonstrate the use of this system with a real-life use case.
Comments: Please cite as: Kobra Khanmohammadi & Raphael Khoury, Half-Day Vulnerabilities: A study of the First Days of CVE Entries, The Conference on Applied Machine Learning in Information Security (CAMLIS), Arlington, VI, USA, oct. 22
Subjects: Cryptography and Security (cs.CR)
Cite as: arXiv:2303.07990 [cs.CR]
  (or arXiv:2303.07990v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2303.07990
Journal reference: In proceedings of The Conference on Applied Machine Learning in Information Security (CAMLIS), 2022

Submission history

From: Raphael Khoury [view email]
[v1] Tue, 14 Mar 2023 15:44:54 UTC (668 KB)
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