CDN Cannon: Exploiting CDN Back-to-Origin Strategies for Amplification Attacks
Ziyu Lin, Zhiwei Lin, Ximeng Liu, Jianjun Chen, Run Guo, Cheng Chen, Shaodong Xiao
摘要
Content Delivery Networks (CDNs) provide high availability, speed up content delivery, and safeguard against DDoS attacks for their hosting websites. To achieve the aforementioned objectives, CDN designs several back-to-origin strategies that proactively pre-pull resources and modify HTTP requests and responses. However, our research reveals that these back-to-origin strategies prioritize performance over security, which can lead to excessive consumption of the website's bandwidth. We have proposed a new class of amplification attacks called Back-to-Origin Amplification (BtOAmp) Attacks. These attacks allow malicious attackers to exploit the back-to-origin strategies, triggering the CDN to greedily demand more-than-necessary resources from websites, which finally blows the websites. We evaluated the feasibility and real-world impacts of BtOAmp attacks on fourteen popular CDNs. With real-world threat evaluation, our attack threatens all mainstream websites hosted on CDNs. We responsibly disclosed the details of our attack to the affected CDN vendors and proposed possible mitigation solutions.
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- Defeating Slow-and-Low Threats via Diffusion Model-based Generative InferenceSeyed Mohammad Mehdi Mirnajafizadeh, Prashant Khanduri, DaeHun Nyang, Rhongho JangNSDI 2026
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