Cited by 19Web Application Security VulnerabilitiesInformation and Cyber SecuritySoftware Engineering Research

OpenSSF Scorecard: On the Path Toward Ecosystem-Wide Automated Security Metrics

Open access
Zahan, Nusrat, Kanakiya, Parth, Hambleton, Brian, Shohan, Shohanuzzaman, Williams, Laurie·2023·IEEE Security & Privacy

Abstract

The OpenSSF Scorecard project is an automated tool to monitor the security health of open source software. This study evaluates the applicability of the Scorecard tool and compares the security practices and gaps in the npm and PyPI ecosystems.

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Crossref · 10.1109/msec.2023.3279773

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Research works printed but not linked: 2

  1. [1][1] Sonatype, '700% average increase in open source supply chain attacks,' https://www.sonatype.com/press-releases/sonatype-finds-700-averageincrease-in-open-source-supply-chain-attacks , 2022. -
  2. [2][2] M. Souppaya et al. , 'Secure software development framework, version 1.1,' NIST Special Publication , vol. 800, p. 218, 2022. -

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Authors
Zahan, N., Kanakiya, P., Hambleton, B., Shohan, S., & Williams, L.
Affiliations
  • North Carolina State University (US)
  • Amazon (United States) (US)
  • Eli Lilly, New York, NY, USA
Venue
IEEE Security & Privacy
Published
2023-11
Volume
21
Issue
6
Pages
76-88
ISSN
  • 1540-7993 (ISSN-L)
  • 1558-4046
OpenAlex
W4380982237
Cited by
19
References
4
Citations by year
2026: 4 · 2025: 7 · 2024: 3 · 2023: 5
FWCI
4.46
Type
journal article
Language
en
Open access
Locations
  • IEEE Security & Privacy (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
National Science Foundation (2207008)
Topics
  • Physical Sciences › Computer Science › Information Systems › Web Application Security Vulnerabilities
  • Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
  • Physical Sciences › Computer Science › Information Systems › Software Engineering Research
Keywords
open-source software security, security practices, security vulnerabilities, npm, PyPI, security maturity assessment

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