Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts
By Mark Mossberg, F. Manzano, Eric Hennenfent, Alex Groce, Gustavo Grieco, Josselin Feist, Trent Brunson, Artem Dinaburg. International Conference on Automated Software Engineering, 2019
406 citations recorded by the source corpus.
An effective way to maximize code coverage in software tests is through dynamic symbolic execution—a technique that uses constraint solving to systematically explore a program's state space. We introduce an open-source dynamic symbolic execution framework called Manticore for analyzing binaries and Ethereum smart contracts. Manticore's flexible architecture allows it to support both traditional and exotic execution environments, and its API allows users to customize their analysis. Here, we discuss Manticore's architecture and demonstrate the capabilities we have used to find bugs and verify the correctness of code for our commercial clients.
Subfields: Computer Networks and Communications, Software, Signal Processing
View Paper: https://www.semanticscholar.org/paper/edef259bc5b64f64c0cc697999496f485a90ce45
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Citations in the corpus
- Survey on blockchain based smart contracts: Applications, opportunities and challenges (2021, background): “[247] introduced an open source dynamic ex-”
- Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts (2019, background): “Manticore [30], developed by TrailOfBits, also uses symbolic execution to find execution paths in EVM bytecode that lead to reentrancy vulnerabilities and reachable self-destruct operations.”