Salus Gitbook
  • 😀Welcome to Salus!
  • 🧑‍⚕️Audit
    • Audit Overview
    • Auditing Scope (Solidity)
    • Vulnerabilities Description
    • Cases Study
      • ERC20
      • NFT
      • DeFi
      • Smart Contract Migration from Ethereum to Other Chains
  • 🕵️Web3 Penetration test
    • Web3 Penetration Test Overview
    • Risks in GameFi
    • Risks in DeFi
    • Risks in Cefi
    • Risks in social media
  • 🐱Lightning Cat
    • Lightning Cat Overview
    • Machine Learning
    • DOT Diagram
    • Formal Verification
    • Fuzzing Test
    • Let·s Get Started!
  • Common Question
    • 🖋️Common Question
      • 📪Audit Process
      • 💡What is Smart Contract Expert Audit?
      • ✨Why should you choose Salus for Expert Audit?
      • 🧠Why Salus is your best choise?
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  • What is Lightning Cat?
  • Lightning Cat Core Features
  1. Lightning Cat

Lightning Cat Overview

Lightning Cat - Salus's Rapid Smart Contract Detection Tool

PreviousRisks in social mediaNextMachine Learning

Last updated 1 year ago

What is Lightning Cat?

is a smart contract quick detection tool. It aims to provide users with efficient, simple, and cost-effective vulnerability detection services. This tool integrates various key features, including machine learning, DOT Diagram generation, formal verification, and fuzzing test. All of these features are integrated into a user-friendly interface, working together to provide you with a report in as little as 20 minutes. If you have business needs including but not limited to due diligence, security assessments, code quality assessments and optimization, Lightning Cat can provide professional services for you.

Lightning Cat Core Features

Now, we will introduce the four core features of the Salus Lightning Cat tool and how to analyze their respective detection results.

  1. : Salus security solution uses machine learning and deep learning to conduct smart contract security testing.

  2. : Used to display the inheritance relationships, functions, variables, and their visibility in smart contracts.

  3. : By verifying the bytecode of smart contracts, Lightning Cat can discover potential vulnerabilities and security issues.

  4. : By generating and inputting a large amount of random data, Lightning Cat can detect vulnerabilities in ERC20 and ERC721 Token contracts.

🐱
Salus Lightning Cat
Machine Learning
DOT Diagram
Formal Verification
Fuzzing Test
Machine Learning
DOT Diagram
Formal Verification
Fuzzing Test