DecentraScan
  • Introduction
  • Technical Details
  • System Architecture
  • Technological Overview
  • DecentraScan Architecture
  • Benefits and Challenges
  • DecentraScan Functionality
  • AI Integration
  • DecentraScan Use Cases
  • Workflow
  • Tokenomics Details
  • Roadmap
  • DecentraScan Official Links
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DecentraScan Functionality

Contract Scanning Process

  1. Upload: Users upload their smart contract code through the UI.

  2. Preprocessing: The code is preprocessed to standardize its format.

  3. Analysis: The AI engine performs static and dynamic analysis.

  4. Reporting: A detailed report is generated, highlighting vulnerabilities and providing recommendations.

AI-Driven Vulnerability Detection

Our AI models are continuously updated with new data to improve their detection capabilities. The system can identify a wide range of vulnerabilities, including reentrancy attacks, overflow/underflow issues, and unauthorized access.

Reporting and Recommendations

The final report includes:

  • Summary of Findings: Overview of identified issues.

  • Detailed Analysis: In-depth explanation of each vulnerability.

  • Recommendations: Steps to mitigate the identified issues.

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Last updated 1 year ago