Robert Beverly (San Diego State University), Erik Rye (Johns Hopkins University)

Internet services and applications depend critically on the availability and accuracy of network time. The Network Time Protocol (NTP) is one of the oldest core network protocols and remains the de facto mechanism for clock synchronization across the Internet today. While multiple NTP infrastructures exist, one, the “NTP Pool,” presents an attractive attack target for two basic reasons, it is: 1) administratively distributed and based on volunteer servers; and 2) heavily utilized, including by IoT and infrastructure devices worldwide. We gather the first direct, non-inferential, and comprehensive data on the NTP Pool, including: longitudinal server and account membership, server configurations, time quality, aliases, and global query traffic load.

We gather complete and granular data over a nine month period to discover over 15k servers (both active and inactive) and shed new light into the NTP Pool’s use, dynamics, and robustness. By analyzing address aliases, accounts, and network connectivity, we find that only 19.7% of the pool’s active servers are fully independent. Finally, we show that an adversary informed with our data can better and more precisely mount “monopoly attacks” to capture the preponderance of NTP pool traffic in 90%of all countries with only 10 or fewer malicious NTP servers. Our results suggest multiple avenues by which the robustness of the pool can be improved.

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Token Time Bomb: Evaluating JWT Implementations for Vulnerability Discovery

Jingcheng Yang (Tsinghua University), Enze Wang (Tsinghua University and National University of Defense Technology), Jianjun Chen (Tsinghua University), Qi Wang (Tsinghua University), Yuheng Zhang (Tsinghua University), Haixin Duan (Tsinghua University), Wei Xie (National University of Defense Technology), Baosheng Wang (National University of Defense Technology)

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SYSYPHUZZ: the Pressure of More Coverage

Zezhong Ren (University of Chinese Academy of Sciences; EPFL), Han Zheng (EPFL), Zhiyao Feng (EPFL), Qinying Wang (EPFL), Marcel Busch (EPFL), Yuqing Zhang (University of Chinese Academy of Sciences), Chao Zhang (Tsinghua University), Mathias Payer (EPFL)

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From Noise to Signal: Precisely Identify Affected Packages of...

Yingyuan Pu (QI-ANXIN Technology Research Institute), Lingyun Ying (QI-ANXIN Technology Research Institute), Yacong Gu (Tsinghua University, Tsinghua University-QI-ANXIN Group JCNS)

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