The dynamic infrastructure framework for everybody! Distribute the workload of many different scanning tools with ease, including nmap, ffuf, masscan, nuclei, meg and many more!

Network recon framework. Build your own, self-hosted and fully-controlled alternatives to Shodan / ZoomEye / Censys and GreyNoise, run your Passive DNS service, build your taylor-made EASM tool, collect and analyse network intelligence from your sensors, and much more! Uses Nmap, Masscan, Zeek, p0f, ProjectDiscovery tools, etc.

Mass scan IPs for vulnerable services

输入域名>爆破子域名>扫描子域名端口>发现扫描web服务>集成报告的全流程全自动扫描器。集成oneforall、masscan、nmap、dirsearch、crawlergo、xray等工具，另支持cdn识别、网页截图、站点定位；动态识别域名并添加功能、工具超时中断等

A distributed nmap / masscan scanning framework complete with scan scheduling, engine pooling, subsequent scan port diff-ing, and an API client for automation workflows.

JF⚡can - Super fast port scanning & service discovery using Masscan and Nmap. Scan large networks with Masscan and use Nmap's scripting abilities to discover information about services. Generate report.

for mass exploiting

network reconnaissance toolkit

Leverage ASN to look up IP addresses (IPv4 & IPv6) owned by a specific organization for reconnaissance purposes, then run port scanning on it.

基于masscan和nmap的快速端口扫描和指纹识别工具，优化版本(获取标题，页面长度,过滤防火墙)

Divide full port scan results and use it for targeted Nmap runs

🔎 Python framework to automatically discover and enumerate hosts from different back-end systems (Shodan, Censys)

python-masscan is a python library which helps in using masscan port scanner.

A curated list of awesome Internet port and host scanners, plus related components and much more, with a focus on free and open source projects.

Combined port scanning w/ Masscan's speed & Nmap's scanning features.

Masscan is a golang library to run masscan scans, parse scan results.

A fast network scanning tool to detect open ports and security vulnerabilities

gomasscan是一个纯go编写的masscan扫描库

Moved to https://github.com/Azathothas/Toolpacks

Tool to discover minecraft servers all over the internet and visualize them in a web application. Written in C# and Angular