Smart Contract Audit Assistant by Keybox.AI-smart contract audit tool
AI-Powered Smart Contract Security Analysis
I'm looking to get my smart contract audited before launch. Do you provide this service?
I want to make sure my smart contract is secure. Do you offer auditing and bug bounties?
Related Tools
Load MoreBusiness Contract Analysis
Automation of review and analysis of legal contracts. Requires a document upload to leverage RAG. Highly recommend ensuring the file shows "DOCUMENT" and not "PDF" when uploaded for improved searching. Many PDFs do not properly work with RAG. Begin with
Crypto Project Analyzer
Detailed crypto project analysis with financial insights.
Smart Contract Auditor
High-accuracy smart contract audit tool.
Smart Contract Analyzer
Analyzes the source code & ABI of smart contracts compatible with EVM. Supports networks: Ethereum, BSC, Polygon, Arbitrum, Optimism, ZkSync.
Anchor GPT
Expert in Solana smart-contract development using Anchor Lang in Rust.
Contract Navigator
Assists in reviewing commercial contracts, sale or lease agreements. Identifies critically important: Milestone dates, Terms, Issues/risks/dependencies, Leverage points for negotiation. Saves time and money!
20.0 / 5 (200 votes)
Introduction to Smart Contract Audit Assistant by Keybox.AI
Smart Contract Audit Assistant by Keybox.AI is designed to provide comprehensive security assessments for smart contracts. Utilizing advanced algorithms and an extensive knowledge base of known vulnerabilities, it inspects the code for potential risks, categorizes them by severity, and offers remediation recommendations. The assistant focuses on identifying critical issues like reentrancy, integer overflow/underflow, and improper access controls, among others. This tool aims to enhance the security and robustness of smart contracts, ensuring they function as intended without vulnerabilities that could be exploited by malicious actors. For example, in a scenario where a new DeFi protocol is being developed, the assistant can be used to audit the smart contract code before deployment, ensuring that the funds managed by the protocol are secure from common exploits.
Main Functions of Smart Contract Audit Assistant by Keybox.AI
Code Analysis
Example
Thoroughly examines the smart contract's codebase to identify any syntactical and logical errors.
Scenario
A developer submits a smart contract for an upcoming ICO, and the assistant analyzes the code to ensure there are no errors that could prevent the contract from executing as intended.
Vulnerability Detection
Example
Detects known vulnerabilities such as reentrancy, integer overflow/underflow, and unauthorized access.
Scenario
A DeFi platform uses the assistant to check for reentrancy vulnerabilities in its lending contract, preventing potential exploits that could drain the platform's funds.
Severity Classification
Example
Classifies identified vulnerabilities into high, medium, or low risk categories.
Scenario
An audit report for a new NFT marketplace highlights several vulnerabilities, categorizing them by severity to help the development team prioritize fixes.
Ideal Users of Smart Contract Audit Assistant by Keybox.AI
Blockchain Developers
Developers creating smart contracts for various applications can use the assistant to ensure their code is secure before deployment, reducing the risk of exploits and increasing user trust.
Blockchain Startups
New companies in the blockchain space, particularly those involved in DeFi or NFTs, can benefit from thorough audits to secure their products and protect user assets, enhancing their reputation and reliability.
How to Use Smart Contract Audit Assistant by Keybox.AI
1
Visit aichatonline.org for a free trial without login, also no need for ChatGPT Plus.
2
Upload your smart contract code file or paste the code directly into the provided input area.
3
Click the 'Analyze' button to start the audit process. The tool will begin examining your smart contract for vulnerabilities.
4
Review the detailed report generated by the assistant. This report will categorize vulnerabilities and provide recommendations for fixing them.
5
Implement the suggested fixes in your smart contract code to enhance its security and robustness.
Try other advanced and practical GPTs
CreativeGPT
AI-Powered Creative Inspiration
Stories from the Apple Design Team
AI-powered design insights from Apple.
Palette Creator
AI-powered color palette customization
SREPro
Enhance SRE with AI insights
Freelance Writing Mentor
AI-powered tips for sustainable freelance success
X Thread Generator
AI-driven Twitter thread generation made easy
Word Master
AI-powered tool for mastering words.
Hilbert
AI-Powered Math Mentor for Learners.
Absurd GPT
AI-powered absurdity at your fingertips
Serpentina Python Coding GPT
AI-powered Python coding made easy.
#Premoney
AI-powered startup funding strategy tool.
Grok Genius
Witty AI, Smarter Conversations.
- Code Analysis
- Smart Contracts
- Security Audits
- Blockchain Development
- Vulnerability Detection
Q&A about Smart Contract Audit Assistant by Keybox.AI
What is the primary function of the Smart Contract Audit Assistant?
The Smart Contract Audit Assistant is designed to analyze smart contract code for security vulnerabilities and provide detailed recommendations to mitigate these issues.
Do I need any special software or subscription to use this tool?
No, you can use the Smart Contract Audit Assistant by visiting aichatonline.org for a free trial without login or needing ChatGPT Plus.
Can the assistant handle smart contracts written in different programming languages?
Yes, the Smart Contract Audit Assistant can analyze smart contracts written in various programming languages such as Solidity for Ethereum.
What types of vulnerabilities can the Smart Contract Audit Assistant detect?
The assistant can detect a wide range of vulnerabilities including reentrancy, integer overflow and underflow, timestamp dependence, unsafe authorization methods, and more.
How accurate is the Smart Contract Audit Assistant in identifying vulnerabilities?
The assistant uses advanced algorithms and extensive training data to accurately identify vulnerabilities. However, it is always recommended to review the findings and apply additional security measures as necessary.