Phishing Website Detection using Deep Learning and URL Analysis
Extracts lexical and domain-reputation features from URLs and classifies phishing attempts using an LSTM model, deployed as a browser extension that warns users in real time.
- Project code
- AUX-SEC-1402
- Domain
- Cyber Security
- Type
- Software project
- Level · Year
- Intermediate · 2024-25
Technologies and components
What is included
- Complete source code
- Database / dataset and setup guide
- Project report (college format)
- PPT for review and viva
- Installation and demo support
- Viva question guidance
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View project →Frequently asked questions
Can I get the Phishing Website Detection using Deep Learning and URL Analysis project for my final year?
Yes. This project (code AUX-SEC-1402) is available as a software project kit for the 2024-25 academic year. Contact us on WhatsApp to request it.
Can this project be customised?
Yes. Features, technology and documentation can be modified to suit your guide and college requirements.
Which departments is this project suitable for?
CSE, IT, AI & DS, BCA and MCA students, and ECE students interested in software.
Get this project with full support
Ask about customisation, delivery time and viva support.
