7 Best Smart Contract Auditing Tools in 2024

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    By Krunal Soni
    Apr 11th, 2024

    Are you looking for the best smart contract auditing tool? With so many options available, it does get challenging for one to find the right name.

    Auditing smart contracts has been one of the most crucial elements of developing blockchain to ensure safety and protect against loss due to bugs and weaknesses. With the growth of the Decentralized financial (DeFi) market, it is essential that smart contract developers examine their code thoroughly.

    We'll explore the top 7 tools for auditing smart contracts in 2024, which play a crucial role in ensuring the security of projects throughout the process of smart contract development. It also explains the steps Minddeft followed to conduct thorough security audits of smart contracts, providing insights into how to audit smart contract effectively

    List of The Best Smart Contract Auditing Tools in 2024

    Let’s explore some of the best smart contract auditing tools below to proceed ahead with complete clarity.

    1. Slither

    Slither is a static analysis tool developed by Trail of Bits that provides an extensive range of vulnerability detectors for Solidity code. It can detect over 92 types of vulnerabilities. Slither has a fast execution time and high precision. It generates user-friendly reports of issues found. Slither easily integrates into CI/CD pipelines. Some key features include identifying error locations, built-in printers for contract data, and detector API to write custom analyzers.

    2. MythX

    MythX is one popular smart contract auditing tool that supports Solidity and Vyper contracts. It performs static and dynamic analysis to detect bugs, vulnerabilities as well as gas optimization issues. MythX can analyze contracts on-chain as well as during development on IDEs like Remix and Truffle. It provides real-time feedback to developers. Key features include automatic code scanning, issue severity scoring, and integration with Github.

    3. Manticore

    Manticore is a dynamic analysis tool that performs symbolic execution and concolic testing of Ethereum smart contracts. It detects vulnerabilities by executing paths in an intelligent way, unlike brute force. Manticore supports executable code, opcodes as well as Solidity and Vyper sources. It generates test cases to cover unseen code paths and finds compromises in logics. Features include automatic generation of test inputs, vulnerability identification, and integration with Solidity.

    4. Securify

    Securify is a smart contract auditing toolkit developed at the National University of Singapore that leverages techniques like taint analysis, symbolic execution, and concolic testing. It detects issues in both Solidity and EVM bytecode. Securify has identified over 180 security vulnerabilities. It provides detailed and easy-to-understand reports. Some key capabilities are tracking flows of currency tokens, generation of test inputs to maximize code coverage and detection of re-entrance bugs.

    5. MAIAN

    MAIAN is an interactive environment for symbolic analysis of Ethereum contracts. It performs automated decompilation and analysis of EVM bytecode. Using techniques like dynamic symbolic execution and property-directed reaching definition analysis, MAIAN checks for security vulnerabilities as well as gas optimization opportunities. It identifies definite assignment, gas usage and error-handling issues. Features include an interactive debugging interface, automated gas analysis and detection of transaction-order dependencies.

    6. SmartCheck

    SmartCheck is a machine learning-based smart contract auditing tool that identifies flaws in codes. It provides detailed vulnerability reports citing potential attack scenarios and precise code locations. SmartCheck leverages machine learning algorithms to detect both known and unknown issues. It requires minimal setup and has a user-friendly UI. With continued usage, SmartCheck improves dynamically in detecting newer vulnerability patterns. This makes it very effective for continuously auditing multiple contracts.

    7. Oyente

    Oyente is another popular static analysis security tool for Ethereum smart contracts. It works directly on EVM bytecode without requiring the source code. Oyente performs symbolic execution to automatically generate test cases that are checked against certain safety properties. It has built-in security properties to detect issues like transaction-ordering dependence, mishandled exceptions, and re-entrance bugs. Oyente creates the control flow graph and reports located vulnerabilities with their associated test cases.

    Steps Followed By Minddeft to Ensure Smart Contract Security Audit

    Minddeft follows these steps to conduct a thorough, smart contract security audit:

    1. Functional Requirements Gathering

    The security experts understand intended functionality and design by analyzing shared documents, requirements, and source codes.

    2. Static Analysis with Tools

    Automated static analysis tools like Slither, Oyente and Manticore are used to detect basic issues by analyzing opcodes/source codes without executing transactions.

    3. Manual Code Review

    This involves a line-by-line manual evaluation of all potential risk locations in the code to identify any vulnerability missed by tools.

    4. Dynamic Testing

     Tools like Manticore, MythX are used to perform dynamic symbolic analysis by executing transactions with random inputs to detect runtime issues.

    5. Gas Optimization

     A gas analysis is done to check for any inefficiency and suggest improvements to make contracts more affordable.

    6. Fault Injection

    Edge cases are injected to test the contract logic under unexpected or malicious conditions using fuzzing.

    7. Database Interaction Check

    Contracts using external databases or storage are evaluated for the security of such integrations.

    8. Deployed Code Review

    Live contracts on public testnets are also audited by interacting with them through their published interfaces and methods.

    9. Comprehensive Report

    A detailed report is prepared to mention all issues discovered, their severity, suggested fixes, and general recommendations.

    10. Resolution & Recheck

    When addressing issues identified, re-audits are performed before the final security certification.

    Final Thoughts

    So, regular smart contract auditing and use of automation testing tools is critical in today's digital landscape powered by blockchain. The tools discussed assist developers and auditors by identifying bugs but thorough manual review and edge case testing under different conditions also remain important. Minddeft's smart contract auditing services help boost code quality by ensuring contracts work as intended and keep user assets protected

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    Frequently Asked Questions

  • Why is smart contract auditing important?

    As the use of smart contracts increases in many industries, security is an important thing to consider. Smart contract auditing tool helps you identify breaches in security and prevent mitigating vulnerability.

  • How do smart contract auditing tools work?

    Smart contract auditing tools study the code of smart contracts to find any issues or vulnerabilities. Also, they use static analysis, dynamic analysis, and the formal verification method to ensure smart contract's security.

  • What are some features to look for in a smart contract auditing tool?

    Here are some features you should look into: vulnerability scanning, reporting, integration with development environments, support for different blockchain platforms, and a user-friendly UI.

  • Are there any free smart contract auditing tools available?

    Yes, there are free and paid smart contract audit tools available. Free tools are useful for initial checks, and paid tools offer more features, deep analysis, detailed reports, and better customer support.

  • How often should I use smart contract auditing tools during development?

    It is suggested that smart contract audit tools be used throughout the development process, particularly when large code changes are carried out and before deployment.