跳到正文
研踪PaperTrail
← 研踪 PaperTrail

arXiv:2611.15462 · v1

Chinese Whispers About Vulnerabilities

首次提交 2026-11-11 21:32
版本更新 2026-11-11 21:32
雷达观测 2026-11-13 11:11
arXiv ↗PDF ↗

摘要

The dissemination of information about known software vulnerabilities occurs online in various ways. Everything from email and development systems to social media are used. Given this variety and a dataset of about 382 thousand online references for about 55 thousand vulnerabilities, the paper demonstrates that the referenced online information sources tend to be mostly dissimilar statistically. The mean cosine similarity between them is only 0.22. Interestingly, the amounts of online references neither increase nor decrease similarity between the online information sources. In contrast, vulnerabilities primarily associated with GitHub and programming language ecosystems tend to have more dissimilar online references than other vulnerabilities. Also vulnerability reports, whether in bug tracking systems or bug bounty platforms, tend to increase dissimilarity. With these empirical results, the paper contributes to the efforts to narrow an enduring knowledge gap related to the online tracking and associated traceability of software vulnerabilities.

作者备注:Proceedings of the Seventh International Conference on Intelligent Data Science Technologies and Applications (IDSTA 2026), Bucharest, IEEE, 2026, pp. 11-17

AI 论文解读

基于摘要 · 非全文审阅

此版本尚未生成 AI 解读。解读由后台任务生成并按论文版本保存,登录后共享已有结果。

版本差异

目前只收录了一个版本。收录下一版后,可以对照标题、作者、分类和摘要。

观测到的版本

相邻记录可能跳过中间版本;首次发现 v2 及以上也会标为版本更新。

v1 · 2026-11-11 21:32 · 最新观测版本

Chinese Whispers About Vulnerabilities

The dissemination of information about known software vulnerabilities occurs online in various ways. Everything from email and development systems to social media are used. Given this variety and a dataset of about 382 thousand online references for about 55 thousand vulnerabilities, the paper demonstrates that the referenced online information sources tend to be mostly dissimilar statistically. The mean cosine similarity between them is only 0.22. Interestingly, the amounts of online references neither increase nor decrease similarity between the online information sources. In contrast, vulnerabilities primarily associated with GitHub and programming language ecosystems tend to have more dissimilar online references than other vulnerabilities. Also vulnerability reports, whether in bug tracking systems or bug bounty platforms, tend to increase dissimilarity. With these empirical results, the paper contributes to the efforts to narrow an enduring knowledge gap related to the online tracking and associated traceability of software vulnerabilities.

查看此版本解读 →查看此版本原文 ↗