On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub

Open-source projects are essential to software de-velopment, but publicly disclosing vulnerabilities without fixes increases the risk of exploitation. The Open Source Security Foundation (OpenS SF) addresses this issue by promoting robust security policies to enhance project security. Current research reveals that many projects perform poorly on OpenS SF criteria, indicating a need for stronger security practices and underscoring the value of SECURITY.md files for structured vulnerability re-porting. This study aims to provide recommendations for improving security policies. By examining 679 open-source projects, we find that email is still the main source of reporting. Furthermore, we find that projects without SECURITY.md files tend to be less secure (lower OpenSSF scores). Our analysis also indicates that, although many maintainers encourage private reporting methods, some contributors continue to disclose vulnerabilities publicly, bypassing established protocols. The results from this preliminary study pave the way for understanding how developers react and communicate a potential security threat. Future challenges include understanding the impact and effectiveness of these mechanisms and what factors may influence how the security threat is addressed.

Authors

Institutions

Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/saner64311.2025.00076
Citations
3
Primary Topic
Software Reliability and Analysis Research
Type
article
Field-Weighted Citation Impact
6.92
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub

Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Brittany Reid, Raula Gaikovina Kula et al.
3 citations
Software Reliability and Analysis Research
6.92
article

On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub

Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Brittany Reid, Raula Gaikovina Kula, Thanwadee Sunetnanta, Sushawapak Kancharoendee, Thanat Phichitphanphong, Chanikarn Jongyingyos
article en
3 citations

Abstract

Open-source projects are essential to software de-velopment, but publicly disclosing vulnerabilities without fixes increases the risk of exploitation. The Open Source Security Foundation (OpenS SF) addresses this issue by promoting robust security policies to enhance project security. Current research reveals that many projects perform poorly on OpenS SF criteria, indicating a need for stronger security practices and underscoring the value of SECURITY.md files for structured vulnerability re-porting. This study aims to provide recommendations for improving security policies. By examining 679 open-source projects, we find that email is still the main source of reporting. Furthermore, we find that projects without SECURITY.md files tend to be less secure (lower OpenSSF scores). Our analysis also indicates that, although many maintainers encourage private reporting methods, some contributors continue to disclose vulnerabilities publicly, bypassing established protocols. The results from this preliminary study pave the way for understanding how developers react and communicate a potential security threat. Future challenges include understanding the impact and effectiveness of these mechanisms and what factors may influence how the security threat is addressed.

Mahidol University (TH), Nara Institute of Science and Technology (JP), The University of Osaka (JP)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Software Reliability and Analysis Research
6.92
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On Categorizing Open Source Software Security Vulnerability Reporting Mechanisms on GitHub — Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, et al. · (2025) | TGRS Research Map | TGRS