Michael Rodler (University of Duisburg-Essen), Wenting Li (NEC Laboratories, Germany), Ghassan O. Karame (NEC Laboratories, Germany), Lucas Davi (University of Duisburg-Essen)

Recently, a number of existing blockchain systems have witnessed major bugs and vulnerabilities within smart contracts. Although the literature features a number of proposals for securing smart contracts, these proposals mostly focus on proving the correctness or absence of a certain type of vulnerability within a contract, but cannot protect deployed (legacy) contracts from being exploited.
In this paper, we address this problem in the context of re-entrancy exploits and propose a novel smart contract security technology, dubbed Sereum (Secure Ethereum), which protects existing, deployed contracts against re-entrancy attacks in a backwards compatible way based on run-time monitoring and validation. Sereum does neither require any modification nor any semantic knowledge of existing contracts. By means of implementation and evaluation using the Ethereum blockchain, we show that Sereum covers the actual execution flow of a smart contract to accurately detect and prevent
attacks with a false positive rate as small as 0.06% and with negligible
run-time overhead. As a by-product, we develop three advanced re-entrancy attacks to demonstrate the limitations of existing offline vulnerability analysis tools.

View More Papers

Data Oblivious ISA Extensions for Side Channel-Resistant and High...

Jiyong Yu (UIUC), Lucas Hsiung (UIUC), Mohamad El'Hajj (UIUC), Christopher W. Fletcher (UIUC)

Read More

Distinguishing Attacks from Legitimate Authentication Traffic at Scale

Cormac Herley (Microsoft), Stuart Schechter (Unaffiliated)

Read More

Mind Your Own Business: A Longitudinal Study of Threats...

Platon Kotzias (IMDEA Software Institute, Universidad Politécnica de Madrid), Leyla Bilge (Symantec Research Labs), Pierre-Antoine Vervier (Symantec Research Labs), Juan Caballero (IMDEA Software Institute)

Read More

Constructing an Adversary Solver for Equihash

Xiaofei Bai (School of Computer Science, Fudan University), Jian Gao (School of Computer Science, Fudan University), Chenglong Hu (School of Computer Science, Fudan University), Liang Zhang (School of Computer Science, Fudan University)

Read More