Team BotCoders Cybersecurity Tool

Requirements:

• Python 3.x
• Required libraries (to be specified)
• Web browser information (to be specified)

Tech Stack Used:

• Python
• Machine Learning for binary classification
• Web crawling techniques (BFS/DFS)
• Screenshot capturing
• Regex for pattern matching

License:

• (Specify the license under which your code is released)

Purpose:

With the increase in the dark web selling of data, Team BotCoders has developed a cybersecurity tool to safeguard your information. The tool performs the following operations:

1. User Safety:

   • Checks if the user has accessed any malicious sites in the past 24 hours.
   • Utilizes a local scanning process with an inbuilt dataset of safe and unsafe sites.
   • Implements a binary classification ML algorithm to scan unidentified sites using factors like "quick change algorithm," suspicious regex, etc.

2. Search Culprit:

   • Implements a weighted links BFS/DFS web-based crawler for evidence collection.
   • Dynamically explores links on web pages with screenshots of suspicious activity at each dig.

3. Check Information Safety:

   • Crawls specific websites from a dataset, focusing on hotspots among dark web buyers.

Future Plans:

• Make it plug and play with hardware integration.
• Track down the possible source ID of uploaders.
• Test TCP/UDP packets with user selection.