Designing a Scalable Vulnerability Management Lifecycle Using CVSS v3 and CWE Classification

As digital infrastructures expand, the scalable and context-aware management of software vulnerabilities is crucial to organizations.This article offers an integration of international research trends since 2020 regarding how the Common Vulnerability Scoring System (CVSS v3) and Common Weakness Enumeration (CWE) can be incorporated into dynamic and scalable Vulnerability Management (VM) lifecycles.Through examination of the state-of-the-art, real-world deployments, and experimental outcomes, the paper finds strengths in machine learning integration, DevSecOps orchestration, and context-aware risk modeling.However, there are some challenges, such as the limitations of static scoring, interoperability limitations, and limited data availability.The review concludes with a layered model proposing the joining of explainable AI, asset metadata, and feedback loops to result in predictive, business-aligned vulnerability management.We provide directions for future work to address outstanding research challenges and aid the advancement of smart, resilient VM systems.

Authors

Publication Details

Journal
International Journal for Research Trends and Innovation
Published
2025-01-01
DOI
https://doi.org/10.56975/ijrti.v10i8.205645
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing a Scalable Vulnerability Management Lifecycle Using CVSS v3 and CWE Classification

Sudha Rani Pujari
International Journal for Research Trends and Innovation
Network Security and Intrusion Detection
article

Designing a Scalable Vulnerability Management Lifecycle Using CVSS v3 and CWE Classification

Sudha Rani Pujari
article en

Abstract

As digital infrastructures expand, the scalable and context-aware management of software vulnerabilities is crucial to organizations.This article offers an integration of international research trends since 2020 regarding how the Common Vulnerability Scoring System (CVSS v3) and Common Weakness Enumeration (CWE) can be incorporated into dynamic and scalable Vulnerability Management (VM) lifecycles.Through examination of the state-of-the-art, real-world deployments, and experimental outcomes, the paper finds strengths in machine learning integration, DevSecOps orchestration, and context-aware risk modeling.However, there are some challenges, such as the limitations of static scoring, interoperability limitations, and limited data availability.The review concludes with a layered model proposing the joining of explainable AI, asset metadata, and feedback loops to result in predictive, business-aligned vulnerability management.We provide directions for future work to address outstanding research challenges and aid the advancement of smart, resilient VM systems.

International Journal for Research Trends and InnovationVol. 10(8)
Responsible consumption and production
Openalex Percentile: Top 77%
Network Security and Intrusion Detection
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