Cyber Security

Tryhackme is a platform where you can learn by following a structured pathway or guide your own learning. Deploy your own private hackable machines (no sharing) and use your skills in a real-world environment by completing guided, objective-based tasks. Broker is a tryhackme room based on the CVE 2016-3088 Remote Code Execution. The Fileserver web application in Apache ActiveMQ broker before version 5.14.0 allows remote attackers to upload and execute arbitrary file.

This project focuses on how to find malicious URLs using machine Learning Technology. While opening any website, legal and malicious websites will open which is very much harmful to the user. The URL based classification is done with the help of machine learning algorithms. The classification achieved the prediction with 90 percent accuracy. The World Wide Web supports various criminal activities, such as e-commerce, spam, and malware. While the specific objectives of this project for the common user to identify the non-malicious web sites and to be safe in accessing the content.

The aim of the project is to combine all the functionality of the tools used to operate CTF. Functionality available in this tool: Network Discovery Password Cracking Web Attacking Payload Generating etc