Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
Custom bash scripts used to automate various penetration testing tasks including recon, scanning, parsing, and creating malicious payloads and listeners with Metasploit.
Wi-Fi tools keep getting more and more accessible to beginners, and the Ehtools Framework is a framework of serious penetration tools that can be explored easily from within it. This powerful and simple tool can be used for everything from installing new add-ons to grabbing a WPA handshake in a matter of seconds. Plus, it's easy to install, set up, and utilize.
PyIris-backdoor is a modular, stealthy and flexible remote-access-toolkit written completely in python used to command and control other systems. It is now in the beta stage, possibly perpetually. There are bugs still present in the framework, feel free to contribute or help me out with this project its still under active development >_>
SQLi Query Tampering extends and adds custom Payload Generator/Processor in Burp Suite's Intruder. This extension gives you the flexibility of manual testing with many powerful evasion techniques.
Storm Framework is a Windows post-exploitation framework that exploits Windows PowerShell vulnerability to get shell-like connection. Storm Framework has the ability to generate simple payloads to provide Windows PowerShell attack.
An MVP. See Readme. Brief overview: This was a data autogenerator for an API, initially supporting creating test users for local testing, utilised within the context of an initial MVP for adding automated tests to a system which had very little automated testing working. Purposes: users and auto payload detection was used for locally testing for critical bugs in the system, with the intention of integrating it into the deployment pipeline as a first phase of testing. Final goal: - generating user data at scale - automated testing using this user generator as a basis - automated payload detection for less maintainability - eventually randomised data and full payload detection for comprehensive automated testing on original data Ultimate goal: - generate randomised data on automatically detected payloads (randomised fully automatic testing) - load testing