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arXiv · 2602.06009

Characterizing and Modeling the GitHub Security Advisories Review Pipeline

Claudio Segal·Paulo Segal·Carlos Eduardo Banjar·Felipe de Sant'Anna Paixão·Hudson Silva Borges·Paulo Silveira·Eduardo Santana de Almeida·Joanna C. S. Santos·Anton Kocheturov·Gaurav Kumar Srivastava·Daniel Sadoc Menasché
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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 the 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.

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Claudio Segal, Paulo Segal, Carlos Eduardo Banjar, Felipe de Sant'Anna Paixão, Hudson Silva Borges, Paulo Silveira, Eduardo Santana de Almeida, Joanna C. S. Santos, Anton Kocheturov, Gaurav Kumar Srivastava, Daniel Sadoc Menasché. 2026-02-05. Characterizing and Modeling the GitHub Security Advisories Review Pipeline. https://doi.org/10.1145/3793302.3793360

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