Temporal CDN-Convex Lens: A CDN-Assisted Practical Pulsing DDoS Attack

Abstract

As one cornerstone of Internet infrastructure, Content Delivery Networks (CDNs) work as a globally distributed proxy platform between clients and websites, providing the functionalities of speeding up content delivery, offloading web traffic, and DDoS protection. In this paper, however, we reveal that inherent nature of CDN forwarding network can be exploited to compromise service availability. We present a new class of pulsing denial of service attacks, named CDN-Convex attack. We explore the possibility of exploiting the CDN infrastructure as a converging lens, and concentrating low-rate attacking requests into short, high-bandwidth pulse waves, resulting in a pulsing DoS attack to saturate the targeted TCP services periodically. Through real-world experiments on five leading CDN vendors, we demonstrate that CDN-Convex is practical and flexible. We show that attackers can use it to achieve peak bandwidths over 1000 times greater than their upload bandwidth, seriously degrading the performance and availability of target services. Following the responsible disclosure policy, we have reported our attack details to all affected CDN vendors and proposed possible mitigation solutions.

Publication
In Proceedings of the 32nd USENIX Security Symposium. Anaheim, California, August 9–11, 2023. (Acceptance rate: 422/1,444=29.2%, Acceptance rate in summer: 91/388=23.5%, Acceptance rate in fall: 155/531=29.2%, Acceptance rate in winter: 176/525=33.5%)

Overview

Temporal CDN-Convex Lens: A CDN-Assisted Practical Pulsing DDoS Attack.

Xiang Li
Xiang Li
Associate Professor (Nankai University)

Xiang Li is an Associate Professor at the College of Cyber Science, Nankai University. He is the advisor of Nankai University’s CTF teams, an ACM member, CCF member, and CIC member. He serves as PC for top-tier venues like IMC 2025 and others like AsiaCCS 2025. His research interests include network security, protocol security, IPv6 security, DNS security, Internet measurement, network & protocol fuzzing, network vulnerability discovery & attack, web security, and underground economy with 18 research papers. As the first author, he has published many research papers at all top-tier security conferences, including Oakland S&P, USENIX Security, CCS, NDSS, and Black Hat (Asia, USA, and Europe). He applied for 11 patents (1 authorized and 5 in checking as the first author). He has obtained over 200 CVE/CNVD/CNNVD vulnerability numbers, more than $11,600 rewards, 370+ GitHub stars, multiple CERT reports, 100+ news coverage, and RFC acknowledgement. He got multiple prizes, such as 2024 ACM SIGSAC China Excellent Doctoral Dissertation Award, 2024 Pwnie Award Nominations (Hacker Oscar), 1st prize of IPv6 Technology Application Innovation Competition, 2nd prize of GeekCon 2023 DAF Contest, National Scholarship, Wang Dazhong Scholarship, Tsinghua Outstanding Scholarship, Outstanding Graduate, and Extraordinary Hacker of GeekCon International 2024.