Developed by Faraday security researchers, this cutting-edge tool utilizes the power of OpenSource Intelligence techniques. EmploLeaks extracts valuable insights by …
DoSinator – A Powerful Denial Of Service (DoS) Testing Tool
DoSinator is a versatile Denial of Service (DoS) testing tool developed in Python. It empowers security professionals and researchers to …
DorXNG – Next Generation DorX. Built By Dorks, For Dorks
DorXNG is a modern solution for harvesting OSINT data using advanced search engine operators through multiple upstream search providers. On …
ICMPWatch – ICMP Packet Sniffer
ICMP Packet Sniffer is a Python program that allows you to capture and analyze ICMP (Internet Control Message Protocol) packets …
Associated-Threat-Analyzer – Detects Malicious IPv4 Addresses And Domain Names Associated With Your Web Application Using Local Malicious Domain And IPv4 Lists
Associated-Threat-Analyzer detects malicious IPv4 addresses and domain names associated with your web application using local malicious domain and IPv4 lists. …
PurpleOps – An Open-Source Self-Hosted Purple Team Management Web Application
An open-source self-hosted purple team management web application. Key Features Template engagements and testcases Framework friendly Role-based Access Control & …
Temcrypt – Evolutionary Encryption Framework Based On Scalable Complexity Over Time
The Next-gen Encryption Try temcrypt on the Web → Focused on protecting highly sensitive data, temcrypt is an advanced multi-layer …
Noir – An Attack Surface Detector Form Source Code
Noir is an attack surface detector form source code. Key Features Automatically identify language and framework from source code. Find …
DNSWatch – DNS Traffic Sniffer and Analyzer
DNSWatch is a Python-based tool that allows you to sniff and analyze DNS (Domain Name System) traffic on your network. …
Redeye – A Tool Intended To Help You Manage Your Data During A Pentest Operation
This project was built by pentesters for pentesters. Redeye is a tool intended to help you manage your data during …