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Luca Negrini

blockchain  static-analysis  abstract-interpretation

Detection of Read-Write Issues in Hyperledger Fabric Smart Contracts

Authors: Luca Olivieri, Luca Negrini, Vincenzo Arceri, Pietro Ferrara, Agostino Cortesi
Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing (SAC 2025)
March 31, 2025
Conference paper

Abstract

Hyperledger Fabric is a well-known framework for developing enterprise blockchain solutions. Developers of these blockchains must ensure the correct execution of read and write operations so that the smart contracts’ application logic is consistent with the business logic. In this paper, we present a static analysis approach based on abstract interpretation to detect read-write set issues in Hyperledger Fabric smart contracts and avoid bugs and critical errors that could compromise blockchain applications. The analysis is implemented in GoLiSA, a semantics-based static analyzer for Go applications. Our experimental results show that the proposed analysis can detect read-write set issues on a significant benchmark of existing applications. Moreover, it achieves better results in detecting read-after-write issues than other well-known open-source analyzers for Hyperledger Fabric smart contracts.

Manuscript: PDF
Associated project: LiSA
Conference page: Link
ACM page: Link