GithubHelp home page GithubHelp logo

hartl3y94 / monkey Goto Github PK

View Code? Open in Web Editor NEW

This project forked from guardicore/monkey

0.0 0.0 0.0 30.35 MB

Infection Monkey - An automated pentest tool

Home Page: https://www.guardicore.com/infectionmonkey/

License: GNU General Public License v3.0

Python 72.76% Batchfile 0.13% CSS 0.58% HTML 0.04% JavaScript 20.37% Shell 1.21% C 0.22% Dockerfile 0.05% PowerShell 1.04% HCL 2.32% Starlark 0.01% SCSS 1.29%

monkey's Introduction

Infection Monkey

GitHub release (latest by date)

Build Status codecov

GitHub stars GitHub commit activity

Data center Security Testing Tool

Welcome to the Infection Monkey!

The Infection Monkey is an open source security tool for testing a data center's resiliency to perimeter breaches and internal server infection. The Monkey uses various methods to self propagate across a data center and reports success to a centralized Monkey Island server.

The Infection Monkey is comprised of two parts:

  • Monkey - A tool which infects other machines and propagates to them.
  • Monkey Island - A dedicated server to control and visualize the Infection Monkey's progress inside the data center.

To read more about the Monkey, visit infectionmonkey.com.

Screenshots

Map

Security report

Zero trust report

ATT&CK report

Main Features

The Infection Monkey uses the following techniques and exploits to propagate to other machines.

  • Multiple propagation techniques:
    • Predefined passwords
    • Common logical exploits
    • Password stealing using Mimikatz
  • Multiple exploit methods:
    • SSH
    • SMB
    • WMI
    • Shellshock
    • Conficker
    • SambaCry
    • Elastic Search (CVE-2015-1427)
    • Weblogic server
    • and more, see our Documentation hub for more information about our RCE exploiters.

Setup

Check out the Setup page in the Wiki or a quick getting started guide.

The Infection Monkey supports a variety of platforms, documented in our documentation hub.

Building the Monkey from source

To deploy development version of monkey you should refer to readme in the deployment scripts folder or follow documentation in documentation hub.

Build status

Branch Status
Develop Build Status
Master Build Status

Tests

Unit Tests

In order to run all of the Unit Tests, run the command python -m pytest in the monkey directory.

To get a coverage report, first make sure the coverage package is installed using pip install coverage. Run the command coverage run -m unittest in the monkey directory and then coverage html. The coverage report can be found in htmlcov.index.

Blackbox tests

In order to run the Blackbox tests, refer to envs/monkey_zoo/blackbox/README.md.

License

Copyright (c) Guardicore Ltd

See the LICENSE file for license rights and limitations (GPLv3).

monkey's People

Contributors

acepace avatar barakarg avatar barakhoffer avatar danielguardicore avatar deepsource-autofix[bot] avatar deepsourcebot avatar dhayalanb avatar fak3 avatar itamartal avatar itaymmguardicore avatar itsikkes avatar liorn avatar maorcore avatar marketingyeti avatar msal-guardicore avatar mssalvatore avatar ophirharpazg avatar orannadler avatar prajwalm2212 avatar ravitgreitser avatar shaynehmad avatar shivank1234 avatar shreyamalviya avatar skyplabs avatar snyk-bot avatar urihershgc avatar vakarisz avatar vkuchinov avatar withshubh avatar youknowone avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.