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Countermeasure Against Online Scams: Python-Based Website Attack

Introduction

In response to the rampant surge in online scams, including deceitful gift giveaways, fraudulent bank approval requests, and deceptive acts that lead to financial losses. I embarked on a project aimed at combating online fraudsters. The project, titled "Countermeasure Against Online Scams: Python-Based Website Attack," is designed to serve as a proactive approach to protect potential victims from falling prey to these malicious schemes.

The primary objective of this project is twofold. First, it acts as a stern lesson for deceptive websites by implementing countermeasures that spam their web forms, rendering them ineffective in deceiving individuals. Secondly, it strives to ensure that these deceptive websites become temporarily unavailable to potential victims by overwhelming them with a high volume of spam, thus reducing the likelihood of further successful scams.

By creating and implementing this innovative solution in Python, I aim to contribute to the safety and security of online users. This project underscores my commitment to using technology to counteract online threats and provide a safer digital environment for all.

getting-started

before you get started, please install the following dependencies:

pip install random requests

Usage

  1. Select any code of the repository
  2. Run the code.
  3. You can change url and data of the forms

Contributing

If you have any questions or suggestions, please feel free to open an issue or pull request on GitHub.