Hyperledger Fabric Smart Contract Security: Risks and Vulnerabilities

Smart contracts, self-executing programs deployed on blockchain networks, offer significant benefits in terms of transparency, efficiency, and trustless operations. However, their widespread adoption is hindered by security vulnerabilities that can lead to financial losses and operational failures. These vulnerabilities often stem from coding errors and logical flaws, such as input validation issues, race conditions, and value propagation problems. In this work, we propose a systematic analysis of common security risks in smart contracts, based on an in-depth literature review and the examination of several case studies. The results identify the most critical vulnerabilities and suggest best practices to mitigate these risks. For instance, the study highlights the importance of rigorous input validation and the use of formal models to verify contract logic. In short, this study provides valuable guidelines for smart contract developers and contributes to strengthening the security of blockchain applications. As a perspective for future work, avenues for research on the formalization of smart contracts and the automation of security testing will be explored.

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Publication Details

Published
2025-05-15
DOI
https://doi.org/10.1109/iraset64571.2025.11008144
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Hyperledger Fabric Smart Contract Security: Risks and Vulnerabilities

Kaouthar Chetioui, Said Hraoui, Touailab Ilyase
Physical Unclonable Functions (PUFs) and Hardware Security
article

Hyperledger Fabric Smart Contract Security: Risks and Vulnerabilities

Kaouthar Chetioui, Said Hraoui, Touailab Ilyase
article en

Abstract

Smart contracts, self-executing programs deployed on blockchain networks, offer significant benefits in terms of transparency, efficiency, and trustless operations. However, their widespread adoption is hindered by security vulnerabilities that can lead to financial losses and operational failures. These vulnerabilities often stem from coding errors and logical flaws, such as input validation issues, race conditions, and value propagation problems. In this work, we propose a systematic analysis of common security risks in smart contracts, based on an in-depth literature review and the examination of several case studies. The results identify the most critical vulnerabilities and suggest best practices to mitigate these risks. For instance, the study highlights the importance of rigorous input validation and the use of formal models to verify contract logic. In short, this study provides valuable guidelines for smart contract developers and contributes to strengthening the security of blockchain applications. As a perspective for future work, avenues for research on the formalization of smart contracts and the automation of security testing will be explored.

Sidi Mohamed Ben Abdellah University (MA)
Openalex Percentile: Top 90%
Physical Unclonable Functions (PUFs) and Hardware Security
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