Christoph Sendner (University of Würzburg), Jasper Stang (University of Würzburg), Alexandra Dmitrienko (University of Würzburg), Raveen Wijewickrama (University of Texas at San Antonio), Murtuza Jadliwala (University of Texas at San Antonio)

The Tor network is the most prominent system for providing anonymous communication to web users, with a daily user base of 2 million users. However, since its inception, it has been constantly targeted by various traffic fingerprinting and correlation attacks aiming at deanonymizing its users. A critical requirement for these attacks is to attract as much user traffic to adversarial relays as possible, which is typically accomplished by means of bandwidth inflation attacks. This paper proposes a new inflation attack vector in Tor, referred to as MirageFlow, which enables inflation of measured bandwidth. The underlying attack technique exploits resource sharing among Tor relay nodes and employs a cluster of attacker-controlled relays with coordinated resource allocation within the cluster to deceive bandwidth measurers into believing that each relay node in the cluster possesses ample resources. We propose two attack variants, C-MirageFlow and D-MirageFlow, and test both versions in a private Tor test network. Our evaluation demonstrates that an attacker can inflate the measured bandwidth by a factor close to n using C-MirageFlow and nearly half n*N using D-MirageFlow, where n is the size of the cluster hosted on one server and N is the number of servers. Furthermore, our theoretical analysis reveals that gaining control over half of the Tor network's traffic can be achieved by employing just 10 dedicated servers with a cluster size of 109 relays running the MirageFlow attack, each with a bandwidth of 100MB/s. The problem is further exacerbated by the fact that Tor not only allows resource sharing but, according to recent reports, even promotes it.

View More Papers

Faults in Our Bus: Novel Bus Fault Attack to...

Nimish Mishra (Department of Computer Science and Engineering, IIT Kharagpur), Anirban Chakraborty (Department of Computer Science and Engineering, IIT Kharagpur), Debdeep Mukhopadhyay (Department of Computer Science and Engineering, IIT Kharagpur)

Read More

The impact of data-heavy, post-quantum TLS 1.3 on the...

Panos Kampanakis and Will Childs-Klein (AWS)

Read More

Separation is Good: A Faster Order-Fairness Byzantine Consensus

Ke Mu (Southern University of Science and Technology, China), Bo Yin (Changsha University of Science and Technology, China), Alia Asheralieva (Loughborough University, UK), Xuetao Wei (Southern University of Science and Technology, China & Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, SUSTech, China)

Read More

Evaluating Disassembly Ground Truth Through Dynamic Tracing (abstract)

Lambang Akbar (National University of Singapore), Yuancheng Jiang (National University of Singapore), Roland H.C. Yap (National University of Singapore), Zhenkai Liang (National University of Singapore), Zhuohao Liu (National University of Singapore)

Read More