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VORDIUM

Privacy

Security

Confidentiality

AI Smart Contract Auditor

Launch App
   1 // SPDX-License-Identifier: MIT
   2 pragma solidity ^0.8.9;
   3                                                 
   4 import "@openzeppelin/contracts/token/ERC20/ERC20.sol";
   5 import "@openzeppelin/contracts/token/ERC20/extensions/ERC20Burnable.sol";
   6 import "@openzeppelin/contracts/token/ERC20/extensions/ERC20Snapshot.sol";
   7 import "@openzeppelin/contracts/access/Ownable.sol";
   8 import "@openzeppelin/contracts/security/Pausable.sol";
   9 import "@openzeppelin/contracts/token/ERC20/extensions/ERC20Permit.sol";
  10 import "@openzeppelin/contracts/token/ERC20/extensions/ERC20Votes.sol";
  11 import "@openzeppelin/contracts/token/ERC20/extensions/ERC20FlashMint.sol";
  12 contract VORDIUM is ERC20, ERC20Burnable, ERC20Snapshot, Ownable, Pausable, ERC20Permit, ERC20Votes, ERC20FlashMint {
  13     constructor() ERC20("VORDIUM", "VORD") ERC20Permit("VORDIUM") {
  14     _mint(msg.sender, 100000000 * 10 ** decimals());
  15   }
  16                                                 
  17 function snapshot() public onlyOwner {
  18     _snapshot();
  19   }
  20                                                 
  21 function pause() public onlyOwner {
  22     _pause();
  23   }
  24                                                 
  25 function unpause() public onlyOwner {
  26     _unpause();
  27   }
  28                                                 
  29 function mint(address to, uint256 amount) public onlyOwner {
  30     _mint(to, amount);
  31   } 
  32                                                 
  33 function _beforeTokenTransfer(address from, address to, uint256 amount)
  34     internal
  35     whenNotPaused
  36     override(ERC20, ERC20Snapshot){
  37     super._beforeTokenTransfer(from, to, amount);
  38   }
  39                                                 
  40 // The following functions are overrides required by Solidity.
  41                                                 
  42 function _afterTokenTransfer(address from, address to, uint256 amount)
  43     internal
  44     override(ERC20, ERC20Votes){
  45     super._afterTokenTransfer(from, to, amount);
  46   }
  47                                                 
  48 function _mint(address to, uint256 amount)
  49     internal
  50     override(ERC20, ERC20Votes){
  51     super._mint(to, amount);
  52   }
  53                                                 
  54 function _burn(address account, uint256 amount)
  55    internal
  56 override(ERC20, ERC20Votes){
  57 super._burn(account, amount);
  58   }
  59 }
Solidity

About

Ai.vordium.com is an AI-powered Solidity Smart Contract Auditor that uses machine learning to analyze code for vulnerabilities, errors, and issues. The state-of-the-art technology generates comprehensive reports that details any issues found, including a description of the problem, the location of the problem in the code, and suggestions for how to fix it.

Investors in VORD could benefit from the increased security of the Ethereum network and demand for the native token ($VORD). As more and more organizations adopt blockchain technology, the need for secure and reliable smart contract solutions will increase. By investing in Vordium.com, investors can capitalize on this trend and potentially see significant returns.

In addition to providing a valuable service to investors, vordium.com could lead to more mainstream adoption of blockchain technology. As smart contracts become more secure, organizations and individuals will be more likely to use them for various applications. This could include financial transactions to supply chain management, creating new opportunities for businesses and individuals. Overall, Ai.vordium.com is a promising technology that has the potential to drive mainstream adoption of blockchain technology and benefit investors in the process.

Theory of Action

Code analysis

The AI-powered auditor analyses the code of smart contracts for vulnerabilities, errors and issues that may exist.

Machine learning

The auditor uses machine learning algorithms to identify patterns and trends in the code that could indicate potential issues.

Report generation

The auditor generates a report detailing any issues found, and suggestions for how to fix them before deployment on the blockchain.