Estimating the assessment difficulty of CVSS environmental metrics: An experiment

L. Allodi, S. Biagioni, B. Crispo, K. Labunets, F. Massacci, W. Santos

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


© Springer International Publishing AG 2017.[Context] The CVSS framework provides several dimensions to score vulnerabilities. The environmental metrics allow security analysts to downgrade or upgrade vulnerability scores based on a company’s computing environments and security requirements. [Question] How difficult is for a human assessor to change the CVSS environmental score due to changes in security requirements (let alone technical configurations) for PCI-DSS compliance for networks and systems vulnerabilities of different type? [Results] A controlled experiment with 29 MSc students shows that given a segmented network it is significantly more difficult to apply the CVSS scoring guidelines on security requirements with respect to a flat network layout, both before and after the network has been changed to meet the PCI-DSS security requirements. The network configuration also impact the correctness of vulnerabilities assessment at system level but not at application level. [Contribution] This paper is the first attempt to empirically investigate the guidelines for the CVSS environmental metrics. We discuss theoretical and practical key aspects needed to move forward vulnerability assessments for large scale systems.
Original languageEnglish
Title of host publicationFuture Data and Security Engineering - 4th International Conference, FDSE 2017, Proceedings
EditorsM. Takizawa, N. Thoai, E.J. Neuhold, T.K. Dang, R. Wagner, J. Kung
PublisherSpringer Verlag
ISBN (Print)9783319700038
Publication statusPublished - 2017
Externally publishedYes
Event4th International Conference on Future Data and Security Engineering, FDSE 2017 - Ho Chi Minh City, Viet Nam
Duration: 29 Nov 20171 Dec 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Conference on Future Data and Security Engineering, FDSE 2017
Country/TerritoryViet Nam
CityHo Chi Minh City


Dive into the research topics of 'Estimating the assessment difficulty of CVSS environmental metrics: An experiment'. Together they form a unique fingerprint.

Cite this