There are 11 repositories under botnet-tools topic.
The "bane" Python library stands out as a robust toolkit catering to a wide spectrum of cybersecurity and networking tasks. Its versatile range of functionalities covers various aspects, including bruteforce attacks, cryptographic methods, DDoS attacks, information gathering, botnet creation and management, and CMS vulnerability scanning and more..
People have been wanting this Mirai Botnet for awhile now. The Joker Mirai V1 developed by IoTNet himself. This powerful botnet has the basic attack methods for homes, servers, L7, and bypasses. Yes it comes with instructions and the payment proof of this source :D so enjoy! Love, USBBios
I know! Word in the DDoS community this Mortem botnet isn't as scary as it seems. You feel more powerful as you scroll around the methods it has but wait... that's right. Mortem is a skid rip of a botnet called Batman v4.5. A skid rip! Enjoy this source.
Project moved to -> https://github.com/Leeon123/Aoyama
A cloud based remote android managment suite, powered by NodeJS
Botnet SDK Based on Zeus HTTP Malware (Educational Purposes)
This project is an advanced software scraper for scanners, you can use it with zmap or masscan
An ongoing & curated collection of awesome software best practices and techniques, libraries and frameworks, E-books and videos, websites, blog posts, links to github Repositories, technical guidelines and important resources about Malware, Rootkits, and botnets in Cybersecurity.
EggNet-Docker is a Docker image that allows you to quickly and easily launch multiple Eggdrops in botNet automate.
This is an easy Botnet scanner you can scann ssh/telnet...
A botnet who work only in a local network - Can do a DDoS attack
this is a repo containing sophisticated and advanced DDoS tools and botnets
This tool aids in network security testing. Works on Debian and Debian based distros with python 2.7
Fake Malware Bots
This Python script provides a sophisticated botnet detection system that leverages signature-based detection, machine learning algorithms, behavioral analysis, and traffic profiling to identify potential botnet activity in real-time. It also includes advanced alerting capabilities and integration with IP reputation services and SIEM for DETECTION!