Fabio Streun (ETH Zurich), Joel Wanner (ETH Zurich), Adrian Perrig (ETH Zurich)

Many systems today rely heavily on virtual private network (VPN) technology to connect networks and protect services on the Internet. While prior studies compare the performance of different implementations, they do not consider adversarial settings. To address this gap, we evaluate the resilience of VPN implementations to flooding-based denial-of-service (DoS) attacks.

We focus on a class of emph{stateless flooding} attacks, which are particularly threatening because an attacker that operates stealthily by spoofing its IP addresses can perform them.
We have implemented various attacks to evaluate the DoS resilience of four widely used VPN solutions and measured their impact on a high-performance server with a $40,mathrm{Gb/s}$ interface, which has revealed surprising results:
An adversary can deny data transfer over an already established WireGuard connection with just $300,mathrm{Mb/s}$ of attack traffic.
When using strongSwan (IPsec), $75,mathrm{Mb/s}$ of attack traffic is sufficient to block connection establishment.
A $100,mathrm{Mb/s}$ flood overwhelms OpenVPN, denying data transfer through VPN connections and connection establishments.
Cisco's AnyConnect VPN solution can be overwhelmed with even less attack traffic:
When using IPsec, $50,mathrm{Mb/s}$ of attack traffic deny connection establishment. When using SSL, $50,mathrm{Mb/s}$ suffice to deny data transfer over already established connections.
Furthermore, performance analysis of WireGuard revealed significant inefficiencies in the implementation related to multi-core synchronization. We also found vulnerabilities in the implementations of strongSwan and OpenVPN, which an attacker can easily exploit for highly effective DoS attacks.
These findings demonstrate the need for adversarial testing of VPN implementations with respect to DoS resilience.

View More Papers

Demo #15: Remote Adversarial Attack on Automated Lane Centering

Yulong Cao (University of Michigan), Yanan Guo (University of Pittsburgh), Takami Sato (UC Irvine), Qi Alfred Chen (UC Irvine), Z. Morley Mao (University of Michigan) and Yueqiang Cheng (NIO)

Read More

ROV-MI: Large-Scale, Accurate and Efficient Measurement of ROV Deployment

Wenqi Chen (Tsinghua University), Zhiliang Wang (Tsinghua University), Dongqi Han (Tsinghua University), Chenxin Duan (Tsinghua University), Xia Yin (Tsinghua University), Jiahai Yang (Tsinghua University), Xingang Shi (Tsinghua University)

Read More

COOPER: Testing the Binding Code of Scripting Languages with...

Peng Xu (TCA/SKLCS, Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Yanhao Wang (QI-ANXIN Technology Research Institute), Hong Hu (Pennsylvania State University), Purui Su (TCA/SKLCS, Institute of Software, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences)

Read More

SoK: A Proposal for Incorporating Gamified Cybersecurity Awareness in...

June De La Cruz (INSPIRIT Lab, University of Denver), Sanchari Das (INSPIRIT Lab, University of Denver)

Read More