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

Detecting CAN Masquerade Attacks with Signal Clustering Similarity

Pablo Moriano (Oak Ridge National Laboratory), Robert A. Bridges (Oak Ridge National Laboratory) and Michael D. Iannacone (Oak Ridge National Laboratory)

Read More

MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing

Gen Zhang (National University of Defense Technology), Pengfei Wang (National University of Defense Technology), Tai Yue (National University of Defense Technology), Xiangdong Kong (National University of Defense Technology), Shan Huang (National University of Defense Technology), Xu Zhou (National University of Defense Technology), Kai Lu (National University of Defense Technology)

Read More

SynthCT: Towards Portable Constant-Time Code

Sushant Dinesh (University of Illinois at Urbana Champaign), Grant Garrett-Grossman (University of Illinois at Urbana Champaign), Christopher W. Fletcher (University of Illinois at Urbana Champaign)

Read More

P4DDPI: Securing P4-Programmable Data Plane Networks via DNS Deep...

Ali AlSabeh (University of South Carolina), Elie Kfoury (University of South Carolina), Jorge Crichigno (University of South Carolina) and Elias Bou-Harb (University of Texas at San Antonio)

Read More