- Python 3.x
- Required libraries (to be specified)
- Web browser information (to be specified)
- Python
- Machine Learning for binary classification
- Web crawling techniques (BFS/DFS)
- Screenshot capturing
- Regex for pattern matching
- (Specify the license under which your code is released)
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:
-
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.
-
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.
-
Check Information Safety:
- Crawls specific websites from a dataset, focusing on hotspots among dark web buyers.
- Make it plug and play with hardware integration.
- Track down the possible source ID of uploaders.
- Test TCP/UDP packets with user selection.