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Darn Vulnerable GraphQL Application

Darn Vulnerable GraphQL Application is an intentionally vulnerable implementation of Facebook's GraphQL technology, to learn and practice GraphQL Security.

DVGA

Table of Contents

About DVGA

Darn Vulnerable GraphQL is a deliberately weak and insecure implementation of GraphQL that provides a safe environment to attack a GraphQL application, allowing developers and IT professionals to test for vulnerabilities.

DVGA Operation Support

  • Queries
  • Mutations
  • Subscriptions

DVGA has numerous flaws, such as Injections, Code Executions, Bypasses, Denial of Service, and more. See the full list under the Scenarios section.

Operation Modes

DVGA supports Beginner and Expert level game modes, which will change the exploitation difficulty.

Scenarios

  • Reconnaissance
    • Discovering GraphQL
    • Fingerprinting GraphQL
  • Denial of Service
    • Batch Query Attack
    • Deep Recursion Query Attack
    • Resource Intensive Query Attack
    • Field Duplication Attack
    • Aliases based Attack
  • Information Disclosure
    • GraphQL Introspection
    • GraphiQL Interface
    • GraphQL Field Suggestions
    • Server Side Request Forgery
    • Stack Trace Errors
  • Code Execution
    • OS Command Injection #1
    • OS Command Injection #2
  • Injection
    • Stored Cross Site Scripting
    • Log spoofing / Log Injection
    • HTML Injection
    • SQL Injection
  • Authorization Bypass
    • GraphQL Interface Protection Bypass
    • GraphQL Query Deny List Bypass
  • Miscellaneous
    • GraphQL Query Weak Password Protection
    • Arbitrary File Write // Path Traversal

Prerequisites

The following Python3 libraries are required:

  • Python3 (3.6 - 3.9) (3.10 is not supported)
  • Flask
  • Flask-SQLAlchemy
  • Flask-Sockets
  • Gevent
  • Graphene
  • Graphene-SQLAlchemy
  • Rx

See requirements.txt for dependencies.

Installation

Docker

Clone the repository

git clone [email protected]:dolevf/ -Vulnerable-GraphQL-Application.git && cd Damn-Vulnerable-GraphQL-Application

Build the Docker image

docker build -t dvga .

Create a container from the image

docker run -t -p 5013:5013 -e WEB_HOST=0.0.0.0 dvga

In your browser, navigate to http://localhost:5013

Note: if you need the application to bind on a specific port (e.g. 8080), use -e WEB_PORT=8080...

Docker Registry

Pull the docker image from Docker Hub

docker pull dolevf/dvga

Create a container from the image

docker run -t -p 5013:5013 -e WEB_HOST=0.0.0.0 dolevf/dvga

In your browser, navigate to http://localhost:5013

Server

Note: Python 3.10 is not supported yet!

Navigate to /opt

cd /opt/

Clone the repository

git clone [email protected]:dolevf/Damn-Vulnerable-GraphQL-Application.git && cd Damn-Vulnerable-GraphQL-Application

Install Requirements

pip3 install -r requirements.txt

Run application

python3 app.py

In your browser, navigate to http://localhost:5013.

Screenshots

DVGA DVGA DVGA DVGA

Maintainers

Contributors

A big Thank You to the kind people who helped make DVGA better:

Mentions

Disclaimer

DVGA is highly insecure, and as such, should not be deployed on internet facing servers. By default, the application is listening on 127.0.0.1 to avoid misconfigurations.

DVGA is intentionally flawed and vulnerable, as such, it comes with no warranties. By using DVGA, you take full responsibility for using it.

License

It is distributed under the MIT License. See LICENSE for more information.