OASIcs.FMBC.2022.2.pdf
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Finding Smart Contract Vulnerabilities with ConCert’s Property-Based Testing Framework
Authors
Mikkel Milo 
,
Eske Hoy Nielsen ,
Danil Annenkov ,
Bas Spitters
-
Part of:
Volume:
4th International Workshop on Formal Methods for Blockchains (FMBC 2022)
Series: Open Access Series in Informatics (OASIcs)
Conference: Workshop on Formal Methods for Blockchains (FMBC) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2022-10-06
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Acknowledgements
We would like to thank the LIGO team and in particular Tom Jack, Raphaël Cauderlier, Exequiel Rivas, Rémi Lesénéchal, Gabriel Alfour, Thomas Letan and Arvid Jakobsson for the discussions about testing for LIGO.
Cite As Get BibTex
Mikkel Milo, Eske Hoy Nielsen, Danil Annenkov, and Bas Spitters. Finding Smart Contract Vulnerabilities with ConCert’s Property-Based Testing Framework. In 4th International Workshop on Formal Methods for Blockchains (FMBC 2022). Open Access Series in Informatics (OASIcs), Volume 105, pp. 2:1-2:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/OASIcs.FMBC.2022.2
Abstract
We provide three detailed case studies of vulnerabilities in smart contracts, and show how property based testing would have found them: 1. the Dexter1 token exchange; 2. the iToken; 3. the ICO of Brave’s BAT token. The last example is, in fact, new, and was missed in the auditing process. We have implemented this testing in ConCert, a general executable model/specification of smart contract execution in the Coq proof assistant. ConCert contracts can be used to generate verified smart contracts in Tezos' LIGO and Concordium’s rust language. We thus show the effectiveness of combining formal verification and property-based testing of smart contracts.
Subject Classification
ACM Subject Classification
- Software and its engineering → Formal methods
- Software and its engineering → Software verification and validation
Keywords
- Smart Contracts
- Formal Verification
- Property-Based Testing
- Coq
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Supplementary Materials
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Software (The ConCert Framework)
https://github.com/AU-COBRA/ConCert/tree/fmbc2022
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References
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