prancer-io / Log4j-Vulnerable-Application

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Java Spring Vulny

Java Spring Vulny is a simple application that combines the power and sophistication of the Spring framework with some homegrown naïveté. Its purpose is to provide a target for web application security test scanners such as OWASP ZAProxy and StackHawk.

Building and Running in IDE/commandline

# run the postgreql db so you can have SQLi
docker-compose up -d db
# run the application in debug mode or run mode with the vm option to activate the profile
# -Dspring.profiles.active=postgresql

Building and Running in Docker

Build

docker-compose build

Run docker

docker-compose up -d

Building and Running Without Docker

Build

./gradlew --no-daemon build

Run

./gradlew --no-daemon bootRun

Building and Running on Windows

./gradlew.bat bootRun --args='--spring.profiles.active=windows'

Build

In PowerShell, with administrative privileges:

  1. Install gradle
    1. unpack zip file
    2. add the new gradle directory to $env:PATH
  2. Run the gradle build:
    1. .\gradlew.bat --no-daemon build
  3. Update the spring.datasource.url in your local application.properties file from spring.datasource.url=jdbc:h2:file:${PWD}/db/vulny;DB_CLOSE_ON_EXIT=FALSE;AUTO_RECONNECT=TRUE to an absolute path.
    1. For instance: spring.datasource.url=jdbc:h2:file:C:/Users/Dan/projects/javaspringvulny/db/vulny;DB_CLOSE_ON_EXIT=FALSE;AUTO_RECONNECT=TRUE.

Run

.\gradlew.bat --no-daemon bootRun

Using the Application

Reaching the App

Once the app starts up, you can reach it at https://localhost:9000.

Logging In

You can log in to the application with the following credentials:

    username: user
    password: password

URLs of Interest

URL Description
https://localhost:9000 Home page
https://localhost:9000/openapi The OpenAPI specification for this app
https://localhost:9000/openapi.yaml The OpenAPI spec in YAML format
https://localhost:9000/swagger-ui.html The Swagger doc for the OpenAPI spec

Security Bugs

A ZAP or StackHawk scan should uncover these bugs:

Bug Example
SQL Injection via search box a%'; insert into item values (999, 'bad bad description', 'hacker item name'); select * from item where name like '%banan
Cross Site Scripting via search box <script>alert('hey guy');</script>

Scanning

The following examples will run HawkScan against the JavaSpringVulny app running on localhost and port 9000, which is the default setup. The StackHawk configuration files are already present in this repository in the stackhawk.d directory.

You should create a new application in the StackHawk app to collect data from these scans. The following environment variables are required for these scans to work:

For example:

export API_KEY=<your-StackHawk-API-key>
export APP_ID=<your-StackHawk-App-ID>

You can optionally include the following variables to customize the scan.

Baseline scan without authentication:

# With the CLI
hawk scan stackhawk.d/stackhawk.yml

# With Docker
docker run --tty --rm --network host --volume $(pwd):/hawk \
  --env API_KEY \
  --env APP_ID \
  stackhawk/hawkscan stackhawk.d/stackhawk.yml

Scan using web form authentication with a session cookie. See the docs for more information.

# With the CLI
hawk scan stackhawk.d/stackhawk.yml stackhawk.d/stackhawk-auth-form-cookie.yml

# With Docker
docker run --tty --rm --network host --volume $(pwd):/hawk \
  --env API_KEY \
  --env APP_ID \
  stackhawk/hawkscan stackhawk.d/stackhawk.yml stackhawk.d/stackhawk-auth-form-cookie.yml

Scan using an authorization token retrieved by POSTing credentials to an API endpoint. See the docs for more information.

# With the CLI
hawk scan stackhawk.d/stackhawk.yml stackhawk.d/stackhawk-auth-json-token.yml

# With Docker
docker run --tty --rm --network host --volume $(pwd):/hawk \
  --env API_KEY \
  --env APP_ID \
  stackhawk/hawkscan stackhawk.d/stackhawk.yml stackhawk.d/stackhawk-auth-json-token.yml

Scan using an authorization token extracted by an external script. This method can be useful for third-party authentication systems. See the docs for more information.

# With the CLI
hawk scan stackhawk.d/stackhawk.yml stackhawk.d/stackhawk-auth-external-token.yml

# With Docker
docker run --tty --rm --network host --volume $(pwd):/hawk \
  --env API_KEY \
  --env APP_ID \
  stackhawk/hawkscan stackhawk.d/stackhawk.yml stackhawk.d/stackhawk-auth-external-token.yml

Scan using basic authentication, using an external script to derive the correct authorization token. This legacy method is an insecure form of bearer token authentication. See the docs for more information.

# With the CLI
export AUTH_TOKEN=$(./scripts/basic-auth.sh)
hawk scan stackhawk.d/stackhawk.yml stackhawk.d/stackhawk-auth-basic.yml

# With Docker
export AUTH_TOKEN=$(./scripts/basic-auth.sh)
docker run --tty --rm --network host --volume $(pwd):/hawk \
  --env API_KEY \
  --env APP_ID \
  --env AUTH_TOKEN \
  stackhawk/hawkscan stackhawk.d/stackhawk.yml stackhawk.d/stackhawk-auth-basic.yml

Examples

Here are examples of how to use HawkScan with differently configured applications and CICD pipelines.

Example Specs

By default running hawk scan will run with the stackhawk.yml file in the same directory if it's defined and present, but can instead use named specs such as hawk scan stackhawk-openapi.yml. HawkScan also supports layering of multiple specs, such as hawk scan stackhawk-base.yml stackhawk-windows-custom.yml for a combined configuration.

Look for these in the stackhawk.d directory:

stackhawk-openapi.yml - scan with OpenAPI configuration stackhawk-custom-spider-curl.yml scan with custom discovery using curl stackhawk-custom-spider-newman.yml scan with custom discovery using newman stackhawk-auth-script-form-multi.yml scripted authentication stackhawk-jsv-form-cookie.yml scan with form authentication and cookie authorization stackhawk-jsv-json-token scan with JSON authentication and token authorization stackhawk-ajax.yml - scan with the ajax spider

Example Pipelines

These are example CICD pipelines to refer to:

github actions azure-pipelines

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