With the rapid growth of online services, many users fall victim to fake or phishing websites. I was inspired to build a solution that helps people identify whether a website is safe or not before sharing personal information.
What it does
The Fake Website Detector analyzes URLs and website features to determine if a site is legitimate or potentially harmful. It checks factors like domain age, HTTPS usage, and suspicious patterns.
How I built it
I developed this project using basic web technologies and integrated logic to validate URLs and detect suspicious behavior. The system uses predefined rules and simple analysis techniques to classify websites.
Challenges I ran into
One of the main challenges was identifying reliable indicators of fake websites and reducing false positives. Ensuring accuracy while keeping the system simple was difficult.
What I learned
I learned about cybersecurity basics, phishing techniques, and how to design a user-friendly tool that improves online safety.
Future improvements
In the future, I plan to integrate machine learning for better accuracy and real-time threat detection.
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