Rayder - A Lightweight Tool For Orchestrating And Organizing Your Bug Hunting Recon / Pentesting Command-Line Workflows

Rayder is a command-line tool designed to simplify the orchestration and execution of workflows. It allows you to define a series of modules in a YAML file, each consisting of commands to be executed. Rayder helps you automate complex processes, making it easy to streamline repetitive modules and execute them parallelly if the commands do not depend on each other.

Installation

To install Rayder, ensure you have Go (1.16 or higher) installed on your system. Then, run the following command:

Usage

Rayder offers a straightforward way to execute workflows defined in YAML files. Use the following command:

rayder -w path/to/workflow.yaml

Workflow Configuration

A workflow is defined in a YAML file with the following structure:

vars:
VAR_NAME: value
# Add more variables...

parallel: true|false
modules:
- name: task-name
cmds:
- command-1
- command-2
# Add more commands...
silent: true|false
# Add more modules...

Using Variables in Workflows

Rayder allows you to use variables in your workflow configuration, making it easy to parameterize your commands and achieve more flexibility. You can define variables in the vars section of your workflow YAML file. These variables can then be referenced within your command strings using double curly braces ({{}}).

Defining Variables

To define variables, add them to the vars section of your workflow YAML file:

vars:
VAR_NAME: value
ANOTHER_VAR: another_value
# Add more variables...

Referencing Variables in Commands

You can reference variables within your command strings using double curly braces ({{}}). For example, if you defined a variable OUTPUT_DIR, you can use it like this:

modules:
- name: example-task
cmds:
- echo "Output directory {{OUTPUT_DIR}}"

Supplying Variables via the Command Line

You can also supply values for variables via the command line when executing your workflow. Use the format VARIABLE_NAME=value to provide values for specific variables. For example:

rayder -w path/to/workflow.yaml VAR_NAME=new_value ANOTHER_VAR=updated_value

If you don't provide values for variables via the command line, Rayder will automatically apply default values defined in the vars section of your workflow YAML file.

Remember that variables supplied via the command line will override the default values defined in the YAML configuration.

Example

Example 1:

Here's an example of how you can define, reference, and supply variables in your workflow configuration:

vars:
ORG: "example.org"
OUTPUT_DIR: "results"

modules:
- name: example-task
cmds:
- echo "Organization {{ORG}}"
- echo "Output directory {{OUTPUT_DIR}}"

When executing the workflow, you can provide values for ORG and OUTPUT_DIR via the command line like this:

rayder -w path/to/workflow.yaml ORG=custom_org OUTPUT_DIR=custom_results_dir

This will override the default values and use the provided values for these variables.

Example 2:

Here's an example workflow configuration tailored for reverse whois recon and processing the root domains into subdomains, resolving them and checking which ones are alive:

vars:
ORG: "Acme, Inc"
OUTPUT_DIR: "results-dir"

parallel: false
modules:
- name: reverse-whois
silent: false
cmds:
- mkdir -p {{OUTPUT_DIR}}
- revwhoix -k "{{ORG}}" > {{OUTPUT_DIR}}/root-domains.txt

- name: finding-subdomains
cmds:
- xargs -I {} -a {{OUTPUT_DIR}}/root-domains.txt echo "subfinder -d {} -o {}.out" | quaithe -workers 30
silent: false

- name: cleaning-subdomains
cmds:
- cat *.out > {{OUTPUT_DIR}}/root-subdomains.txt
- rm *.out
silent: true

- name: resolving-subdomains
cmds:
- cat {{OUTPUT_DIR}}/root-subdomains.txt | dnsx -silent -threads 100 -o {{OUTPUT_DIR}}/resolved-subdomains.txt
silent: false

- name: checking-alive-subdomains
cmds:
- cat {{OUTPUT_DIR}}/resolved-subdomains.txt | httpx -silent -threads 100 0 -o {{OUTPUT_DIR}}/alive-subdomains.txt
silent: false

To execute the above workflow, run the following command:

rayder -w path/to/reverse-whois.yaml ORG="Yelp, Inc" OUTPUT_DIR=results

Parallel Execution

The parallel field in the workflow configuration determines whether modules should be executed in parallel or sequentially. Setting parallel to true allows modules to run concurrently, making it suitable for modules with no dependencies. When set to false, modules will execute one after another.