CRJun 4, 2018

Securify: Practical Security Analysis of Smart Contracts

arXiv:1806.01143v21121 citations
Originality Incremental advance
AI Analysis

This addresses critical security risks for users and developers of smart contracts on permissionless blockchains, though it is an incremental improvement over existing analysis tools.

The authors tackled the problem of security vulnerabilities in Ethereum smart contracts, which handle billions of USD, by developing Securify, a scalable and automated security analyzer that proved contract behaviors as safe or unsafe, analyzing over 18,000 real-world contracts.

Permissionless blockchains allow the execution of arbitrary programs (called smart contracts), enabling mutually untrusted entities to interact without relying on trusted third parties. Despite their potential, repeated security concerns have shaken the trust in handling billions of USD by smart contracts. To address this problem, we present Securify, a security analyzer for Ethereum smart contracts that is scalable, fully automated, and able to prove contract behaviors as safe/unsafe with respect to a given property. Securify's analysis consists of two steps. First, it symbolically analyzes the contract's dependency graph to extract precise semantic information from the code. Then, it checks compliance and violation patterns that capture sufficient conditions for proving if a property holds or not. To enable extensibility, all patterns are specified in a designated domain-specific language. Securify is publicly released, it has analyzed >18K contracts submitted by its users, and is regularly used to conduct security audits by experts. We present an extensive evaluation of Securify over real-world Ethereum smart contracts and demonstrate that it can effectively prove the correctness of smart contracts and discover critical violations.

Code Implementations3 repos
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes