Hwanjo Heo (ETRI), Seungwon Woo (ETRI/KAIST), Taeung Yoon (KAIST), Min Suk Kang (KAIST), Seungwon Shin (KAIST)

We present a practical partitioning attack, which we call Gethlighting, that isolates an Ethereum full node from the rest of the network for hours without having to occupy (or eclipse) all of the target’s peer connections. In Gethlighting, an adversary controls only about a half (e.g., 25 out of total 50) of all peer connections of a target node, achieving powerful partitioning with a small attack budget of operating several inexpensive virtual machines. At the core of Gethlighting, its low-rate denial-of-service (DoS) strategy effectively stops the growth of local blockchain for hours while leaving other Ethereum node operations undisturbed. We analyze how subtle and insignificant delays incurred by a low-rate DoS can lead to a powerful blockchain partitioning attack. The practical impact of Gethlighting is discussed — i.e., the attack is scalable and low-cost (only about $5,714 for targeting all Ethereum full nodes concurrently for 24 hours), and extremely simple to launch. We demonstrate the feasibility of Gethlighting with full nodes in the Ethereum mainnet and testnet in both controlled and real-world experiments. We identify a number of fundamental system characteristics in Ethereum that enable Gethlighting attacks and propose countermeasures that require some protocol and client implementation enhancements. Ethereum Foundation has acknowledged this vulnerability in September 2022 and one of our countermeasures has been accepted as a hotfix for Geth 1.11.0.

View More Papers

Measuring Messengers: Analyzing Infrastructures and Message Timings to Extract...

Theodor Schnitzler (Research Center Trustworthy Data Science and Security, TU Dortmund, and Ruhr-Universität Bochum)

Read More

OBI: a multi-path oblivious RAM for forward-and-backward-secure searchable encryption

Zhiqiang Wu (Changsha University of Science and Technology), Rui Li (Dongguan University of Technology)

Read More

BinaryInferno: A Semantic-Driven Approach to Field Inference for Binary...

Jared Chandler (Tufts University), Adam Wick (Fastly), Kathleen Fisher (DARPA)

Read More

Reminding Drivers of the Stalking Vehicles on the Road

Wei Sun, Kannan Srinivsan (The Ohio State University)

Read More