Phishing Website Detection using Machine Learning | Engineering Projects for CSE Students

Detecting Phishing Websites using Machine Learning

Anti Phishing Tool using machine learning, this project is a desktop-based software developed using python programming language and tkinter for developing graphical user interface, Machine Learning is used for training the model. This tool aims to identify and prevent users from visiting phishing URL. Phishing is a cybercrime in which target or targets are contacted by telephone, text message or email. Chabot integrated with this model where it identifies the Phishing URL. And also works for web surfing, user can open any webpage and this model will identify that particular URL, it contains phishing URL or not. If entered URL is phishing then it will give the warning Phishing Detected.

URL Based Phishing Detection using Machine Learning

Software Requirements :-

  • Coding Language : Python
  • Implementation: Software Framework.
  • Operating system : Windows 10 / 11.
  • Graphical User Interface : Tkinter

Hardware Requirement:-

  • Input Devices : Keyboard, Mouse.
  • System : Pentium i3 Processor.
  • Hard Disk : 500 GB.
  • RAM : 4 GB.

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