MPro: Combining Static and Symbolic Analysis for Scalable Testing of Smart Contract

TL;DR

MPro is a scalable smart contract testing tool that combines static and symbolic analysis to efficiently detect depth-n vulnerabilities, reducing false positives and improving speed over existing methods.

Contribution

This paper introduces MPro, a novel hybrid analysis approach that enhances scalability and accuracy in detecting complex smart contract vulnerabilities.

Findings

MPro is approximately n times faster than Mythril-Classic.

MPro maintains all detection capabilities of Mythril-Classic.

MPro effectively reduces false positives in vulnerability detection.

Abstract

Smart contracts are executable programs that enable the building of a programmable trust mechanism between multiple entities without the need of a trusted third-party. Researchers have developed several security scanners in the past couple of years. However, many of these analyzers either do not scale well, or if they do, produce many false positives. This issue is exacerbated when bugs are triggered only after a series of interactions with the functions of the contract-under-test. A depth-n vulnerability, refers to a vulnerability that requires invoking a specific sequence of n functions to trigger. Depth-n vulnerabilities are time-consuming to detect by existing automated analyzers, because of the combinatorial explosion of sequences of functions that could be executed on smart contracts. In this paper, we present a technique to analyze depth-n vulnerabilities in an efficient and scalable way by combining symbolic execution and data dependency analysis. A significant advantage of combining symbolic with static analysis is that it scales much better than symbolic alone and does not have the problem of false positive that static analysis tools typically have. We have implemented our technique in a tool called MPro, a scalable and automated smart contract analyzer based on the existing symbolic analysis tool Mythril-Classic and the static analysis tool Slither. We analyzed 100 randomly chosen smart contracts on MPro and our evaluation shows that MPro is about n-times faster than Mythril-Classic for detecting depth-n vulnerabilities, while preserving all the detection capabilities of Mythril-Classic.