Automated Pentesting Tool for Binary Analysis and Exploitation
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Updated
Jun 11, 2024 - Python
Automated Pentesting Tool for Binary Analysis and Exploitation
A fast, simple, recursive content discovery tool written in Rust.
A Web Enumeration Python Script for Vulnerability Assessment and Bug Hunters
Notes, research, and methodologies for becoming a better hacker. Knowledge should be free.
An implementation of Sum types in Julia
A collection of one-liners for bug bounty hunting.
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
Enumeration from a non-domain joined Windows computer
Automate the scanning and enumeration of machines externally while maintaining complete control over scans shot to the target. Comfortable GUI-ish platform. Great for OSCP/HTB type Machines as well as penetration testing.
Sharing my knowledge, tips and tricks as a Network and a Software Engineer. Also from my Cyber Security Learning Journy sharing related knowledge to Pentesting, Enumeration, other Tools and commands.
A source generator for C# that uses Roslyn to create extensions and parsers for enumerations
linWinPwn is a bash script that streamlines the use of a number of Active Directory tools
onedrive user enumeration - pentest tool to enumerate valid o365 users
🔩 Extended PHP 8.1+ enums features & specific integrations with frameworks and libraries
A powerful Python CLI tool for DNS record enumeration across multiple types (A, AAAA, MX, NS, TXT, and more) and for discovering subdomains using a custom list. Featuring colorful output with ASCII art, live enumeration progress animation, and easy output handling with text files for efficient domain analysis and reconnaissance.
This repository contains writeups for various CTFs I've participated in (Including Hack The Box).
Docker Enumeration, Escalation of Privileges and Container Escapes (DEEPCE)
Custom bash scripts used to automate various penetration testing tasks including recon, scanning, enumeration, and malicious payload creation using Metasploit. For use with Kali Linux.
This project implements both exact and approximate inference techniques for Bayesian Networks using enumeration and rejection sampling, respectively. It processes Bayesian Network structures in XMLBIF format, accepting command-line inputs to compute the posterior distribution of a query variable given observed evidence.
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