padmaraj-j

padmaraj-j / phishing-website-detection

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Phishing Website Detection using Python and Flask

52
0
69% credibility
Found Feb 03, 2026 at 25 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A basic web application that analyzes website URLs to determine if they are likely legitimate or phishing attempts using simple pattern checks.

How It Works

1
🕵️ Discover the Tool

You hear about a simple website checker that spots sneaky phishing sites by looking at web addresses.

2
📥 Get It on Your Computer

Download the tool to your own computer so you can use it anytime.

3
🚀 Open the Checker

Launch the friendly web page that opens right in your browser on your machine.

4
📝 Enter a Website Address

Type in the web address you want to check, like one from an email or ad.

5
🔍 Get Your Safety Check

The tool quickly scans the address for suspicious signs and shows a clear result.

✅ Stay Safe Online

Now you know if the site is safe or a phishing trap, helping you browse with confidence.

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Star Growth

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AI-Generated Review

What is phishing-website-detection?

This Python Flask app gives you a dead-simple web interface to paste any URL and get an instant verdict: legitimate or phishing. It scans for red flags like long URLs, suspicious symbols, missing HTTPS, or too many subdomains, solving the quick-check need for spotting phishing websites without complex setups. Built for phishing website detection projects, it pulls in NumPy for feature handling and displays results right in your browser.

Why is it gaining traction?

Its zero-config Flask setup deploys in seconds, perfect for github phishing simulations or quick phishing website tests—no ML expertise needed despite nods to machine learning techniques. Developers dig the real-time feedback loop, making it a go-to for phishing website check tools or integrating with github phishing databases and domains. At 52 stars, it's hooking hobbyists building phishing website detection systems on github, especially phishing github termux scripts.

Who should use this?

Security analysts prototyping phishing detection tools, educators running phishing website beispiels or simulations, and indie devs forking phishing website detection project source code on github. Ideal for teams needing a baseline phishing website detection dataset viewer or ai-driven checks without heavy lifting.

Verdict

Grab it as a learning starter or proof-of-concept for phishing website detection research papers—solid README gets you running fast, but low 52 stars and 0.7% credibility score flag it as immature for prod. Fork and beef up the rules for real stakes.

(178 words)

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