Phishing-detector and Phishing-Website-Detection

Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 19/25
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 17/25
Stars: 25
Forks: 17
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 30
Forks: 8
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Phishing-detector

asrith-reddy/Phishing-detector

Phishers use the websites which are visually similar to those real websites. So, we developed this website so that user can know whether the URL is phishing or not before using it. URL -

This tool helps individuals determine if a website URL is safe or a phishing attempt before they click on it. You input a website address, and it outputs whether the URL is legitimate or a potential phishing risk. This is ideal for anyone who regularly encounters web links and wants to avoid online scams or protect their personal information.

cybersecurity online-safety fraud-prevention web-browsing scam-detection

About Phishing-Website-Detection

gangeshbaskerr/Phishing-Website-Detection

A project that predicts a phishing URL by extracting 17 features in 3 different categories and then train and test the machine learning models using a dataset from Phishtank.

This tool helps cybersecurity professionals and system administrators detect phishing websites. You input a URL, and it classifies whether the URL is legitimate or a phishing attempt. The system analyzes various features of the URL, its address bar, domain, HTML, and Javascript to make an informed decision.

cybersecurity phishing-detection url-analysis threat-intelligence online-security

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