pushpak25w/waterphish

Detecting phishing websites using machine learning.

WaterPhish

Table of contents

• General info
• Technologies
• Features
• Features to be added
• Setup

General info

This website uses machine learning to detect if a given website is phishing or legitimate.

Technologies:

1. Python 3.9.6
2. beautifulsoup4 4.9.3
3. Flask 1.1.2
4. ipaddress 1.0.23
5. urllib3 1.25.10
6. tldextract 3.1.2
7. whois 0.9.13
8. scikit_learn 0.24.2
9. numpy 1.21.2
10. pandas 1.3.2
11. lxml 4.5.0

Features:

1. Extracts domain based features:
   a. having_IP_Address
   b. Redirect, Prefix_Suffix
   c. having_sub_domain
   d. Domain_registration_length
   e. HTTPS_token
   f. Request_URL
   g. URl_of_Anchor
   h. Links_in_tags
   i. age_of_domain
   j. DNSRecord
   
   
2. Extracts url based features:
   a. URL_Length
   b. having_At_Symbol
   c. double_slash_redirecting
   d. web_traffic
   e. Shortening_Service
   
   
3. Extracts JS features:
   a. Submitting_to_email
   b. on_mouseover
   c. RightClick
   d. Iframe
   e. Favicon
   

Features to be added:

1. Database to store searched queries.
2. Removing saved queries after specific time, to keep a check on the legitimacy of the website.

Setup

To run this project, install libraries given above:

$ cd WaterPhish/
$ flask run