p34709852
/
monkey
forked from p15670423/monkey
1
0
Fork 1
Code Issues Pull Requests Projects Releases Wiki Activity
6,271 Commits 30 Branches 0 Tags 47 MiB
Python 73.1%
JavaScript 13.8%
CSS 5.7%
TypeScript 2.6%
HCL 1.6%
Other 3.1%
Go to file
Mike Salvatore 7bcfc6d27a Deployment: Make dump_attack_mitigations.py executable 2021-09-30 10:50:52 -04:00
.github Add changelog checklist item to pull request template 2021-03-29 12:20:33 -04:00
.swm swimm: update exercise Add details about your new PBA JFXftJml8DpmuCPBA9rL 2021-09-24 17:41:08 +05:30
build_scripts Change the docker and appImage deployment scripts to not alter the deployment string if no deployment argument is passed 2021-09-15 15:52:53 +03:00
deployment_scripts Deployment: Make dump_attack_mitigations.py executable 2021-09-30 10:50:52 -04:00
docs docs: Fix spelling mistake 2021-09-29 16:44:16 +03:00
envs Zoo: Replace --os with --skip-powershell-reuse 2021-09-28 17:31:20 +02:00
monkey Merge pull request #1495 from guardicore/delay-mongo-init 2021-09-29 17:03:12 +03:00
.flake8 Island: Add all imports from encryption to __init__ 2021-09-23 19:00:13 +02:00
.gitattributes Tests: Add test_readme.txt to .gitattributes 2021-07-19 06:41:53 -04:00
.gitignore BB performance tests: update the outdated README.md and other small improvements 2021-07-31 19:40:19 -04:00
.gitmodules Refactored ScoutSuite into a separate package rather than submodule 2021-03-17 11:49:33 -04:00
.pre-commit-config.yaml Add vulture pre-commit hook 2021-05-05 19:09:07 +05:30
.travis.yml travis: Update Swimm version 2021-08-31 12:49:57 +05:30
CHANGELOG.md Rename the CHANGELOG.md entry about resetting login credentials to "Resetting login credentials also cleans the contents of the database. #1495" 2021-09-29 16:45:26 +03:00
CONTRIBUTING.md Update slack links in documentation 2021-01-25 10:35:39 -05:00
LICENSE Add SecureAuth Corporation acknowledgement to LICENSE.md 2021-02-22 17:44:15 +05:30
README.md Remove training whitespace from README.md 2021-06-20 09:15:57 -04:00
codecov.yml Disable codecov annotations in pull requests 2021-06-22 10:00:23 -04:00
pyproject.toml Island: Add all imports from encryption to __init__ 2021-09-23 19:00:13 +02:00
vulture_allowlist.py Removed unnecessary vulture ignores from whitelist 2021-09-28 11:04:42 +03:00

README.md

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).