Exploring Vulnerabilities and Concerns in Solana Smart Contracts
- URL: http://arxiv.org/abs/2504.07419v1
- Date: Thu, 10 Apr 2025 03:25:20 GMT
- Title: Exploring Vulnerabilities and Concerns in Solana Smart Contracts
- Abstract summary: This paper studies the current status of security analysis of Solana by researching Solana smart contract security analysis tools.<n>The data of Solana smart contract security analysis tools are collected and compared with, and the differences are analyzed and some tools are selected for practical testing.
- Score: 0.8225825738565354
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The Solana blockchain was created by Anatoly Yakovenko of Solana Labs and was introduced in 2017, employing a novel transaction verification method. However, at the same time, the innovation process introduced some new security issues. The frequent security incidents in smart contracts have not only caused enormous economic losses, but also undermined the credit system based on the blockchain. The security and reliability of smart contracts have become a new focus of research both domestically and abroad. This paper studies the current status of security analysis of Solana by researching Solana smart contract security analysis tools. This paper systematically sorts out the vulnerabilities existing in Solana smart contracts and gives examples of some vulnerabilities, summarizes the principles of security analysis tools, and comprehensively summarizes and details the security analysis tools in Solana smart contracts. The data of Solana smart contract security analysis tools are collected and compared with Ethereum, and the differences are analyzed and some tools are selected for practical testing.
Related papers
- V2E: Validating Smart Contract Vulnerabilities through Profit-driven Exploit Generation and Execution [52.57923394143007]
V2E is a new framework for validating whether a reported vulnerability is truly exploitable.<n>V2E automatically generates Proof-of-Concept (PoC) and then assess if the vulnerability could be triggered and incur any financial loss.<n> Evaluation on 264 manually labeled contracts shows that V2E outperforms the baseline approach.
arXiv Detail & Related papers (2026-04-15T08:24:24Z) - SseRex: Practical Symbolic Execution of Solana Smart Contracts [8.403608370743356]
We propose SseRex, the first symbolic execution vulnerability detection approach for finding Solana-specific bugs.<n>Our evaluation of 8,714 bytecode-only contracts shows that our approach outperforms existing approaches.
arXiv Detail & Related papers (2026-03-17T10:33:11Z) - One Signature, Multiple Payments: Demystifying and Detecting Signature Replay Vulnerabilities in Smart Contracts [56.94148977064169]
lacking checks on signature usage conditions can lead to repeated verifications, increasing the risk of permission abuse and threatening contract assets.<n>We define this issue as the Signature Replay Vulnerability (SRV)<n>From 1,419 audit reports across 37 blockchain security companies, we identified 108 with detailed SRV descriptions and classified five types of SRVs.
arXiv Detail & Related papers (2025-11-12T09:17:13Z) - Trace: Securing Smart Contract Repository Against Access Control Vulnerability [58.02691083789239]
GitHub hosts numerous smart contract repositories containing source code, documentation, and configuration files.<n>Third-party developers often reference, reuse, or fork code from these repositories during custom development.<n>Existing tools for detecting smart contract vulnerabilities are limited in their ability to handle complex repositories.
arXiv Detail & Related papers (2025-10-22T05:18:28Z) - AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement [73.0700818105842]
We introduce AISafetyLab, a unified framework and toolkit that integrates representative attack, defense, and evaluation methodologies for AI safety.
AISafetyLab features an intuitive interface that enables developers to seamlessly apply various techniques.
We conduct empirical studies on Vicuna, analyzing different attack and defense strategies to provide valuable insights into their comparative effectiveness.
arXiv Detail & Related papers (2025-02-24T02:11:52Z) - ContractTrace: Retracing Smart Contract Versions for Security Analyses [4.126275271359132]
We introduce ContractTrace, an automated infrastructure that accurately identifies and links versions of smart contracts into coherent lineages.<n>This capability is essential for understanding vulnerability propagation patterns and evaluating the effectiveness of security patches in blockchain environments.
arXiv Detail & Related papers (2024-12-30T11:10:22Z) - Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis [0.0]
We analyze the state of the art in machine-learning vulnerability detection for smart contracts.
We discuss best practices to enhance the accuracy, scope, and efficiency of vulnerability detection in smart contracts.
arXiv Detail & Related papers (2024-07-26T10:09:44Z) - Versioned Analysis of Software Quality Indicators and Self-admitted Technical Debt in Ethereum Smart Contracts with Ethstractor [2.052808596154225]
This paper proposes Ethstractor, the first smart contract collection tool for gathering a dataset of versioned smart contracts.
The collected dataset is then used to evaluate the reliability of code metrics as indicators of vulnerabilities in smart contracts.
arXiv Detail & Related papers (2024-07-22T18:27:29Z) - Defying the Odds: Solana's Unexpected Resilience in Spite of the Security Challenges Faced by Developers [7.29491274634436]
We conducted the first comprehensive study on the Solana platform consisting of a 90-minute smart contract code review task.
Our study shows, quite alarmingly, that none of the participants could detect all important security vulnerabilities in a code review task.
In spite of these challenges, our automated analysis on currently deployed Solana smart contracts surprisingly suggests that the prevalence of vulnerabilities is below 0.3%.
arXiv Detail & Related papers (2024-06-19T14:42:33Z) - Vulnerabilities of smart contracts and mitigation schemes: A Comprehensive Survey [0.6554326244334866]
This paper presents a literature review combined with an experimental report that aims to assist developers in developing secure smarts.
It provides a list of frequent vulnerabilities and corresponding mitigation solutions.
It evaluates the community most widely used tools by executing and testing them on sample smart contracts.
arXiv Detail & Related papers (2024-03-28T19:36:53Z) - Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts [35.26195628798847]
Existing vulnerability detection tools perform poorly in terms of efficiency and successful detection rates for vulnerabilities in complex contracts.
SliSE provides a robust and efficient method for detection of Reentrancy vulnerabilities for complex contracts.
arXiv Detail & Related papers (2024-03-17T16:08:30Z) - A security framework for Ethereum smart contracts [13.430752634838539]
This article presents ESAF, a framework for analysis of smart contracts.
It aims to unify and facilitate the task of analyzing smart contract vulnerabilities.
It can be used as a persistent security monitoring tool for a set of target contracts as well as a classic vulnerability analysis tool among other uses.
arXiv Detail & Related papers (2024-02-05T22:14:21Z) - Vulnerability Scanners for Ethereum Smart Contracts: A Large-Scale Study [44.25093111430751]
In 2023 alone, such vulnerabilities led to substantial financial losses exceeding a billion of US dollars.
Various tools have been developed to detect and mitigate vulnerabilities in smart contracts.
This study investigates the gap between the effectiveness of existing security scanners and the vulnerabilities that still persist in practice.
arXiv Detail & Related papers (2023-12-27T11:26:26Z) - A Comprehensive Study of Governance Issues in Decentralized Finance
Applications [45.033994319846244]
We present a comprehensive study of governance issues in DeFi applications.
We collect and build a dataset of 4,446 audit reports from 17 Web3 security companies.
Our findings highlight a significant observation: the disparity between smart contract code and DeFi whitepapers plays a central role in these governance issues.
arXiv Detail & Related papers (2023-11-02T17:46:59Z) - Empirical Review of Smart Contract and DeFi Security: Vulnerability
Detection and Automated Repair [36.46679501556185]
Decentralized Finance (DeFi) is emerging as a peer-to-peer financial ecosystem.
smart contracts hold a massive amount of value, making them an attractive target for attacks.
This paper reviews the progress made in the field of smart contract and DeFi security from the perspective of both vulnerability detection and automated repair.
arXiv Detail & Related papers (2023-09-05T17:00:42Z) - Enhancing Smart Contract Security Analysis with Execution Property Graphs [48.31617821205042]
We introduce Clue, a dynamic analysis framework specifically designed for a runtime virtual machine.
Clue captures critical information during contract executions, employing a novel graph-based representation, the Execution Property Graph.
evaluation results reveal Clue's superior performance with high true positive rates and low false positive rates, outperforming state-of-the-art tools.
arXiv Detail & Related papers (2023-05-23T13:16:42Z) - SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts [55.73424958012229]
This work identifies intelligence analysts' practices and preferences for AI assistance in situation report generation.
We introduce SmartBook, an automated framework designed to generate situation reports from large volumes of news data.
Our comprehensive evaluation of SmartBook, encompassing a user study alongside a content review with an editing study, reveals SmartBook's effectiveness in generating accurate and relevant situation reports.
arXiv Detail & Related papers (2023-03-25T03:03:00Z) - Combining Graph Neural Networks with Expert Knowledge for Smart Contract
Vulnerability Detection [37.7763374870026]
Existing efforts for contract security analysis rely on rigid rules defined by experts, which are labor-intensive and non-scalable.
We propose a novel temporal message propagation network to extract the graph feature from the normalized graph, and combine the graph feature with designed expert patterns to yield a final detection system.
arXiv Detail & Related papers (2021-07-24T13:16:30Z) - Smart Contract Vulnerability Detection: From Pure Neural Network to
Interpretable Graph Feature and Expert Pattern Fusion [48.744359070088166]
Conventional smart contract vulnerability detection methods heavily rely on fixed expert rules.
Recent deep learning approaches alleviate this issue but fail to encode useful expert knowledge.
We develop automatic tools to extract expert patterns from the source code.
We then cast the code into a semantic graph to extract deep graph features.
arXiv Detail & Related papers (2021-06-17T07:12:13Z) - ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep
Neural Network and Transfer Learning [80.85273827468063]
Existing machine learning-based vulnerability detection methods are limited and only inspect whether the smart contract is vulnerable.
We propose ESCORT, the first Deep Neural Network (DNN)-based vulnerability detection framework for smart contracts.
We show that ESCORT achieves an average F1-score of 95% on six vulnerability types and the detection time is 0.02 seconds per contract.
arXiv Detail & Related papers (2021-03-23T15:04:44Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.