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P2 Six Million (Suspected) Fake Stars on GitHub: A Growing Spiral of Popularity Contests, Spams, and Malware

GitHub 上的六百万(疑似)虚假星标:人气竞赛、垃圾信息与恶意软件的螺旋式增长
ICSE Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering2026匹配度 1/10 · 该论文是 GitHub 虚假星标的纵向安全测量研究,核心关注平台滥用、垃圾推广与恶意软件,与用户画像中的程序语言/静态分析、LLM/Agent 与程序分析交叉、浮点程序分析、贝叶斯程序分析等方向基本无关。文中仅在虚假星标推广的仓库类别中提到 AI/LLM,并未研究 LLM/Agentic 程序或程序分析技术。引用 13 inbox
Hao He, Haoqin Yang, Philipp Burckhardt, Alexandros Kapravelos, Bogdan Vasilescu, Christian Kästner
crossref: 2026-09-12arxiv: 2026-09-12

AI 速览

一句话:构建 StarScout 对 2019–2024 年 GitHub 全量元数据做纵向测量,揭示虚假星标在 2024 年激增,多用于推广钓鱼恶意仓库且长期无益。

GitHub 的 star 数是最常用的流行度信号,却可被人工刷高,降低决策价值并带来安全风险。本文对 GitHub 虚假星标进行系统、全球、纵向测量,构建可扩展工具 StarScout,检测 2019–2024 年全量 GitHub 元数据中的异常星标行为。分析发现:虚假星标活动在 2024 年迅速激增;相关账户和仓库活动模式高度琐碎;多数虚假星标用于推广短命的钓鱼恶意仓库,其余多用于推广 AI/LLM、区块链、工具/应用和教程/演示仓库;虚假星标仅有不到两个月的短期推广效果,长期则成为负担。研究对平台审核、开源实践者和供应链安全研究者具有启示。

问题
GitHub 的 star 数作为流行度信号容易被伪造,削弱其决策价值并带来安全风险,但缺乏系统、全球、纵向的虚假星标测量。
方法
构建可扩展工具 StarScout,基于 2019–2024 年全量 GitHub 元数据检测异常 star 行为,并分析 campaign、仓库类型和影响。
评估
通过 StarScout 收集的纵向全量元数据进行测量分析,报告虚假星标趋势、活动特征、被推广仓库类别及短期/长期效果。
原文摘要(Abstract)

GitHub, the de facto platform for open-source software development, provides a set of social-media-like features to signal high-quality repositories. Among them, the star count is the most widely used popularity signal, but it is also at risk of being artificially inflated (i.e., faked), decreasing its value as a decision-making signal and posing a security risk to all GitHub users. In this paper, we present a systematic, global, and longitudinal measurement study of fake stars in GitHub. To this end, we build StarScout, a scalable tool able to detect anomalous starring behaviors across all GitHub metadata between 2019 and 2024. Analyzing the data collected using StarScout, we find that: (1) fake-star-related activities have rapidly surged in 2024; (2) the accounts and repositories in fake star campaigns have highly trivial activity patterns; (3) the majority of fake stars are used to promote short-lived phishing malware repositories; the remaining ones are mostly used to promote AI/LLM, blockchain, tool/application, and tutorial/demo repositories; (4) while repositories may have acquired fake stars for growth hacking, fake stars only have a promotion effect in the short term (i.e., less than two months) and become a liability in the long term. Our study has implications for platform moderators, open-source practitioners, and supply chain security researchers.

链接与引用

DOI 原文 · arXiv ·

BibTeX
@inproceedings{paperbot11512,
  title = {Six Million (Suspected) Fake Stars on GitHub: A Growing Spiral of Popularity Contests, Spams, and Malware},
  author = {Hao He and Haoqin Yang and Philipp Burckhardt and Alexandros Kapravelos and Bogdan Vasilescu and Christian Kästner},
  booktitle = {ICSE},
  year = {2026},
  doi = {10.1145/3744916.3764531}
}