samjudahj

samjudahj / Phishing-Website-Detector

Public

Phishing Website Detector is a mini project that identifies whether a website URL is phishing or legitimate. The system analyzes URL features such as length, special characters, and HTTPS usage, then uses a machine learning model to make predictions. This project helps users avoid fake websites and improves online security awareness.

26
0
100% credibility
Found Feb 04, 2026 at 10 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

A straightforward web tool where you enter a website address and it tells you if it's likely a phishing site or legitimate.

How It Works

1
👀 Spot a suspicious link

You find a website address that seems off and wonder if it's safe to visit.

2
🔍 Discover the checker

You learn about this simple tool that spots fake websites mimicking real ones.

3
💻 Set up the tool

Download and start the checker on your computer, opening a friendly webpage.

4
📝 Enter the website

Paste the suspicious address into the box and hit check – it's that easy!

5
⏳ Tool does its magic

The checker quickly looks over the address for sneaky signs.

✅ See if it's safe

You get a clear verdict: safe to go or stay away from this phishing trap.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 10 to 26 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is Phishing-Website-Detector?

This Python-based Flask app lets you paste any URL into a simple web form and instantly flags it as phishing or legitimate using a machine learning model trained on URL patterns. It checks features like length, special characters, HTTPS usage, and domain quirks to spot fakes mimicking real sites, helping you avoid credential theft. Think quick phishing website check or test right in your browser, no setup hassle.

Why is it gaining traction?

Unlike bloated website phishing scanners, this delivers dead-simple predictions via a clean web interface, pulling from phishing website database vibes without needing API keys or complex installs. Devs dig the phishing website test hook for demos, akin to github phishing simulation tools or phishing domains lists, making it a fast win for awareness campaigns. Its lightweight ML approach stands out for quick forks or integrations in security prototypes.

Who should use this?

Security hobbyists running phishing website beispiel experiments or github phishing test setups. Educators teaching phishing website erkennen in workshops, or Termux users doing phishing github termux checks on mobile. Early-stage devs prototyping phishing website melden alerts or eswarchandt/phishing-website detector clones.

Verdict

With just 25 stars and a 1.0% credibility score, it's raw—docs are basic, no tests or expansive dataset—but a solid starter for phishing website detector github tinkering. Fork it to analyze more features or swap models for real production use.

(178 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.