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

Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards...

Mark Huasong Meng (National University of Singapore), Qing Zhang (ByteDance), Guangshuai Xia (ByteDance), Yuwei Zheng (ByteDance), Yanjun Zhang (The University of Queensland), Guangdong Bai (The University of Queensland), Zhi Liu (ByteDance), Sin G. Teo (Agency for Science, Technology and Research), Jin Song Dong (National University of Singapore)

Read More

Towards Automatic and Precise Heap Layout Manipulation for General-Purpose...

Runhao Li (National University of Defense Technology), Bin Zhang (National University of Defense Technology), Jiongyi Chen (National University of Defense Technology), Wenfeng Lin (National University of Defense Technology), Chao Feng (National University of Defense Technology), Chaojing Tang (National University of Defense Technology)

Read More

WIP: AMICA: Attention-based Multi-Identifier model for asynchronous intrusion detection...

Natasha Alkhatib (Télécom Paris), Lina Achaji (INRIA), Maria Mushtaq (Télécom Paris), Hadi Ghauch (Télécom Paris), Jean-Luc Danger (Télécom Paris)

Read More

Adversarial Robustness for Tabular Data through Cost and Utility...

Klim Kireev (EPFL), Bogdan Kulynych (EPFL), Carmela Troncoso (EPFL)

Read More