Book ChapterDOI
A Survey of Attacks on Ethereum Smart Contracts SoK
Nicola Atzei,Massimo Bartoletti,Tiziana Cimoli +2 more
- Vol. 10204, pp 164-186
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TLDR
This work analyses the security vulnerabilities of Ethereum smart contracts, providing a taxonomy of common programming pitfalls which may lead to vulnerabilities, and shows a series of attacks which exploit these vulnerabilities, allowing an adversary to steal money or cause other damage.Abstract:
Smart contracts are computer programs that can be correctly executed by a network of mutually distrusting nodes, without the need of an external trusted authority. Since smart contracts handle and transfer assets of considerable value, besides their correct execution it is also crucial that their implementation is secure against attacks which aim at stealing or tampering the assets. We study this problem in Ethereum, the most well-known and used framework for smart contracts so far. We analyse the security vulnerabilities of Ethereum smart contracts, providing a taxonomy of common programming pitfalls which may lead to vulnerabilities. We show a series of attacks which exploit these vulnerabilities, allowing an adversary to steal money or cause other damage.read more
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Proceedings ArticleDOI
Specification is Law: Safe Creation and Upgrade of Ethereum Smart Contracts
TL;DR: A systematic framework is created that allows contracts to be created and upgraded but only if they meet a corresponding formal specification, and is centered around a trusted deployer : an off-chain service that formally verifies and enforces this notion of conformance.
Book ChapterDOI
SC-VDM: A Lightweight Smart Contract Vulnerability Detection Model
TL;DR: Wang et al. as discussed by the authors proposed a lightweight smart contract vulnerability detection model based on Convolutional Neural Networks (CNN), which can automatically detect the vulnerabilities in the smart contract on a lightweight computer without expert knowledge.
Posted Content
Targeted Greybox Fuzzing with Static Lookahead Analysis
TL;DR: In this article, targeted greybox fuzzing using an online static analysis that guides the fuzzer toward a set of target locations, for instance, located in recently modified parts of the program.
Journal ArticleDOI
DoS Attacks on Blockchain Ecosystem
Mayank Raikwar,Danilo Gligoroski +1 more
TL;DR: Ten entities in the blockchain ecosystem are identified and the DoS attacks on them are scrutinized and a DoS mitigation technique by the use of verifiable delay function (VDF) is proposed.
Book ChapterDOI
Library Usage Detection in Ethereum Smart Contracts
TL;DR: This work analyzes the usage of the SafeMath library on the blockchain with a data set of 6.9 million bytecodes of Ethereum smart contracts and correctly detects library usage for 86.34% of the smart contracts in the evaluation set.
References
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Book
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Proceedings ArticleDOI
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TL;DR: This paper investigates the security of running smart contracts based on Ethereum in an open distributed network like those of cryptocurrencies, and proposes ways to enhance the operational semantics of Ethereum to make contracts less vulnerable.