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The ACM Web Conference 2026Track 8: Systems and Infrastructure for Web, Mobile, and Web of Things

Starlink in the Wild: Multi-Perspective Measurements via DNS

Ruoxuan Xia, Bingyu Li 0003, Zhenyu Chen, Pengyu Yuan, Yunjia Wang, Xiaofeng Zheng, Jingqiang Lin 0001

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3774904.3792366 ↗

摘要

Starlink, the low-Earth orbit (LEO) satellite constellation developed by SpaceX, has rapidly become the world's largest commercial satellite network and a key component of the global Internet infrastructure. Despite its growing prominence, critical aspects of its terrestrial operations, including its internal network architecture, user behavior patterns, and potentially vulnerable exposed services, remain largely unexamined. This paper presents a multi-perspective measurement that characterizes Starlink's ground-side infrastructure and ecosystem from a DNS-centric viewpoint. First, we leverage internal DNS leakage to infer the structure of Starlink's private networks. Second, we analyze passive DNS data to identify user behavior patterns and service usage trends. Finally, we perform large-scale active scanning of Starlink's IP address space to evaluate its service deployment and security posture, utilizing DNS records to isolate infrastructure-related IPs from those of end-users. Collectively, our findings provide novel insights into the architecture, operation, and security of Starlink's terrestrial network.