A blockchain is a trustless system in an environment populated by untrusted peers. Code deployed in blockchain as a smart contract should be cautious when invoking contracts of other peers as they might introduce several risks and unexpected issues. This paper presents an information flowbased approach for detecting cross-contract invocations to untrusted contracts, written in general-purpose languages, that could lead to arbitrary code executions and store any results coming from them. The analysis is implemented in GoLiSA, a static analyzer for Go. Our experimental results show that GoLiSA is able to detect all vulnerabilities related to untrusted cross-contract invocations on a significant benchmark suite of smart contracts written in Go for Hyperledger Fabric, an enterprise framework for blockchain solutions.

Static Detection of Untrusted Cross-Contract Invocations in Go Smart Contracts

Luca Olivieri;Luca Negrini;Vincenzo Arceri;Pietro Ferrara;Agostino Cortesi;Fausto Spoto
2025-01-01

Abstract

A blockchain is a trustless system in an environment populated by untrusted peers. Code deployed in blockchain as a smart contract should be cautious when invoking contracts of other peers as they might introduce several risks and unexpected issues. This paper presents an information flowbased approach for detecting cross-contract invocations to untrusted contracts, written in general-purpose languages, that could lead to arbitrary code executions and store any results coming from them. The analysis is implemented in GoLiSA, a static analyzer for Go. Our experimental results show that GoLiSA is able to detect all vulnerabilities related to untrusted cross-contract invocations on a significant benchmark suite of smart contracts written in Go for Hyperledger Fabric, an enterprise framework for blockchain solutions.
2025
SAC'25: Proceedings of the Symposium on Applied Computing
File in questo prodotto:
File Dimensione Formato  
SAC2025_SmartContracts.pdf

non disponibili

Tipologia: Versione dell'editore
Licenza: Accesso chiuso-personale
Dimensione 1.31 MB
Formato Adobe PDF
1.31 MB Adobe PDF   Visualizza/Apri

I documenti in ARCA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5091430
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact