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Meng

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Overview

Meng is a Python application that analyzes the security and potential risks of Ethereum tokens using the GoPlus Token Security API and Rug Pull Detection API. It generates a detailed report in Markdown format and stores the analysis data in an SQLite database. The results should not be considered financial/investment advice and are for informational purposes only. Users should perform their own due diligence and DYOR.

Features

  • Retrieves token security and rug pull risk data from the GoPlus API
  • Generates a comprehensive Markdown report with the analysis results
  • Saves the report to a file named after the token symbol and current date
  • Stores the JSON data returned by each API, along with the contract address and the current date, in an SQLite database

Prerequisites

  • Python 3.x
  • goplus library

Installation

  1. Clone the repository: git clone https://github.com/your-username/meng.git

  2. Install the required dependencies: pip install goplus

Usage

  1. Run the script: python main.py

  2. Enter the token contract address when prompted.

  3. The script will analyze the token and generate a report. The report will be displayed in the console and saved as a Markdown file in the reports folder with the filename format <token_symbol>_<current_date>.md.

  4. The JSON data returned by each API, along with the contract address and the current date, will be stored in an SQLite database named token_data.db.

Report Format

The generated report includes the following sections:

  • Token Analysis Report
  • Date
  • Report date
  • Token Security Analysis
  • Raw JSON data from the token security API
  • Token Security Analysis Breakdown
  • Open Source
  • Proxy Contract
  • Mint Function
  • Owner Address
  • Can Take Back Ownership
  • Owner Can Change Balance
  • Hidden Owner
  • Selfdestruct
  • External Call
  • In DEX
  • Buy Tax
  • Sell Tax
  • Can't Buy
  • Can't Sell All
  • Slippage Modifiable
  • Honeypot
  • Transfer Pausable
  • Blacklist
  • Whitelist
  • Anti Whale
  • Anti Whale Modifiable
  • Trading Cooldown
  • Personal Slippage Modifiable
  • Token Name
  • Token Symbol
  • Holder Count
  • Total Supply
  • Creator Address
  • Creator Balance
  • Creator Percent
  • LP Holder Count
  • LP Total Supply
  • Is True Token
  • Is Airdrop Scam
  • Is In Trust List
  • Other Potential Risks
  • Note
  • Fake Token
  • Rug Pull Security Analysis
  • Raw JSON data from the rug pull security API
  • Rug Pull Security Analysis Breakdown
  • Owner Name
  • Owner Address
  • Owner Type
  • Privilege Withdraw
  • Cannot Withdraw
  • Contract Verified
  • Blacklist Function
  • Contract Name
  • Self-Destruct
  • Potential Approval Abuse
  • Proxy Contract

Database Schema

The SQLite database token_data.db contains a table named token_data with the following schema:

  • id (INTEGER): Primary key
  • contract_address (TEXT): The token contract address
  • token_security_data (TEXT): The JSON data returned by the token security API
  • rug_pull_data (TEXT): The JSON data returned by the rug pull security API
  • date (TEXT): The date when the analysis was performed

License

This project is licensed under the MIT License.