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Research PaperResearchia:202602.05011

Characterizing and Modeling the GitHub Security Advisories Review Pipeline

Claudio Segal

Abstract

GitHub Security Advisories (GHSA) have become a central component of open-source vulnerability disclosure and are widely used by developers and security tools. A distinctive feature of GHSA is that only a fraction of advisories are reviewed by GitHub, while the mechanisms associated with this review process remain poorly understood. In this paper, we conduct a large-scale empirical study of GHSA review processes, analyzing over 288,000 advisories spanning 2019--2025. We characterize which adviso...

Submitted: February 5, 2026Subjects: Cybersecurity; Computer Science

Description / Details

GitHub Security Advisories (GHSA) have become a central component of open-source vulnerability disclosure and are widely used by developers and security tools. A distinctive feature of GHSA is that only a fraction of advisories are reviewed by GitHub, while the mechanisms associated with this review process remain poorly understood. In this paper, we conduct a large-scale empirical study of GHSA review processes, analyzing over 288,000 advisories spanning 2019--2025. We characterize which advisories are more likely to be reviewed, quantify review delays, and identify two distinct review-latency regimes: a fast path dominated by GitHub Repository Advisories (GRAs) and a slow path dominated by NVD-first advisories. We further develop a queueing model that accounts for this dichotomy based on the structure of the advisory processing pipeline.


Source: arXiv:2602.06009v1 - http://arxiv.org/abs/2602.06009v1 PDF: https://arxiv.org/pdf/2602.06009v1 Original Article: View on arXiv

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Date:
Feb 5, 2026
Topic:
Computer Science
Area:
Cybersecurity
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