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redc

Red Team Infrastructure Multi-Cloud Automated Deployment Tool

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Redc is built on Terraform, further simplifying the complete lifecycle (create, configure, destroy) of red team infrastructure.

Redc is not just a machine provisioning tool, but an automated cloud resource scheduler!

  • One-command deployment, from purchasing machines to running services, fully automated without manual intervention
  • Multi-cloud support, compatible with Alibaba Cloud, Tencent Cloud, AWS and other mainstream cloud providers
  • Pre-configured scenarios, red team environment ready-to-use templates, no more hunting for resources
  • State resource management, locally saves resource state, destroy environments anytime, eliminate wasted resource costs

Installation and Configuration

redc Engine Installation

Download Binary Package

REDC download address: https://github.com/wgpsec/redc/releases

Download the compressed file for your system, extract it and run it from the command line.

HomeBrew Installation (WIP)

Install

brew tap wgpsec/tap
brew install wgpsec/tap/redc

Update

brew update
brew upgrade redc

Build from Source

goreleaser

git clone https://github.com/wgpsec/redc.git
cd redc
goreleaser --snapshot --clean

# Build artifacts are generated under the dist directory

Template Selection

By default, redc reads the template folder at ~/redc/redc-templates; the folder name is the scenario name when deploying.

You can download template scenarios yourself; scenario names correspond to the template repository https://github.com/wgpsec/redc-template

Online address: https://redc.wgpsec.org/

redc pull aliyun/ecs

redc pull

For specific usage and commands for each scenario, please check the readme of the specific scenario in the template repository https://github.com/wgpsec/redc-template

Engine Configuration File

redc needs AK/SK credentials to start machines.

By default, redc reads the config.yaml configuration file from your home directory at ~/redc/config.yaml. Create it if missing:

vim ~/redc/config.yaml

Example content:

# Multi-cloud credentials and default regions
providers:
  aws:
    AWS_ACCESS_KEY_ID: "AKIDXXXXXXXXXXXXXXXX"
    AWS_SECRET_ACCESS_KEY: "WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW"
    region: "us-east-1"
  aliyun:
    ALICLOUD_ACCESS_KEY: "AKIDXXXXXXXXXXXXXXXX"
    ALICLOUD_SECRET_KEY: "WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW"
    region: "cn-hangzhou"
  tencentcloud:
    TENCENTCLOUD_SECRET_ID: "AKIDXXXXXXXXXXXXXXXX"
    TENCENTCLOUD_SECRET_KEY: "WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW"
    region: "ap-guangzhou"
  volcengine:
    VOLCENGINE_ACCESS_KEY: "AKIDXXXXXXXXXXXXXXXX"
    VOLCENGINE_SECRET_KEY: "WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW"
    region: "cn-beijing"
  huaweicloud:
    HUAWEICLOUD_ACCESS_KEY: "AKIDXXXXXXXXXXXXXXXX"
    HUAWEICLOUD_SECRET_KEY: "WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW"
    region: "cn-north-4"
  google:
    GOOGLE_CREDENTIALS: '{"type":"service_account","project_id":"your-project",...}'
    project: "your-project-id"
    region: "us-central1"
  azure:
    ARM_CLIENT_ID: "00000000-0000-0000-0000-000000000000"
    ARM_CLIENT_SECRET: "your-client-secret"
    ARM_SUBSCRIPTION_ID: "00000000-0000-0000-0000-000000000000"
    ARM_TENANT_ID: "00000000-0000-0000-0000-000000000000"
  oracle:
    OCI_CLI_USER: "ocid1.user.oc1..aaaaaaa..."
    OCI_CLI_TENANCY: "ocid1.tenancy.oc1..aaaaaaa..."
    OCI_CLI_FINGERPRINT: "aa:bb:cc:dd:ee:ff:00:11:22:33:44:55:66:77:88:99"
    OCI_CLI_KEY_FILE: "~/.oci/oci_api_key.pem"
    OCI_CLI_REGION: "us-ashburn-1"
  cloudflare:
    CF_EMAIL: "[email protected]"
    CF_API_KEY: "your-cloudflare-api-key"

If the configuration file fails to load, it will attempt to read system environment variables, please configure them before use.

AWS environment variables

Linux/macOS example:

export AWS_ACCESS_KEY_ID=AKIAIOSFODNN7EXAMPLE
export AWS_SECRET_ACCESS_KEY=wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY

Windows example:

setx AWS_ACCESS_KEY_ID AKIAIOSFODNN7EXAMPLE
setx AWS_SECRET_ACCESS_KEY wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY

Alibaba Cloud environment variables

Linux/macOS example (use a shell init file like .bash_profile or .zshrc to persist):

export ALICLOUD_ACCESS_KEY="<AccessKey ID>"
export ALICLOUD_SECRET_KEY="<AccessKey Secret>"
# If you use STS credentials, also set security_token
export ALICLOUD_SECURITY_TOKEN="<STS Token>"

Windows example:

In System Properties > Advanced > Environment Variables, add ALICLOUD_ACCESS_KEY, ALICLOUD_SECRET_KEY, and ALICLOUD_SECURITY_TOKEN (optional).

Tencent Cloud environment variables

Linux/macOS example:

export TENCENTCLOUD_SECRET_ID=<YourSecretId>
export TENCENTCLOUD_SECRET_KEY=<YourSecretKey>

Windows example:

set TENCENTCLOUD_SECRET_ID=<YourSecretId>
set TENCENTCLOUD_SECRET_KEY=<YourSecretKey>

Volcengine environment variables

Linux/macOS example:

export VOLCENGINE_ACCESS_KEY=<YourAccessKey>
export VOLCENGINE_SECRET_KEY=<YourSecretKey>

Windows example:

set VOLCENGINE_ACCESS_KEY=<YourAccessKey>
set VOLCENGINE_SECRET_KEY=<YourSecretKey>

Quick Start

redc is designed with Docker-like commands

Use redc -h to view common command help

Initialize Template

Required for first-time use of templates. To speed up template deployment, it's recommended to run init after modifying redc-templates content to speed up subsequent deployments

redc init

Default init effect

By default, init sweeps all scenarios under ~/redc/redc-templates to warm the Terraform provider cache.

List Template List

redc image ls

redc image ls

Create and Start Instance

ecs is the template file name

redc plan --name boring_sheep_ecs  [template_name] # Plan an instance (this process validates the configuration but doesn't create infrastructure)
# After plan completes, it returns a caseid which can be used with the start command to actually create infrastructure
redc start [caseid]
redc start [casename]

Directly plan and start a case with template name ecs

redc run aliyun/ecs

redc run aliyun/ecs

After starting, it will provide a case id, which is the unique identifier for the scenario, required for subsequent operations For example, 8a57078ee8567cf2459a0358bc27e534cb87c8a02eadc637ce8335046c16cb3c can use 8a57078ee856 with the same effect

Use -e parameter to configure variables

redc run -e xxx=xxx ecs

Stop instance

redc stop [caseid] # Stop instance
redc rm [caseid] # Delete instance (confirm the instance is stopped before deleting)
redc kill [caseid] # After init template, stop and delete instance

redc stop [caseid]

View case status

redc ps

redc ps

Execute commands

Directly execute command and return result

redc exec [caseid] whoami

redc exec [caseid] whoami

Enter interactive command mode

redc exec -t [caseid] bash

redc exec -t [caseid] bash

Copy files to server

redc cp test.txt [caseid]:/root/

redc cp test.txt [caseid]:/root/

Download files to local

redc cp [caseid]:/root/test.txt ./

redc cp [caseid]:/root/test.txt ./

Change service

This requires template support for changes, can switch elastic public IP

redc change [caseid]

MCP (Model Context Protocol) Support

redc now supports the Model Context Protocol, enabling seamless integration with AI assistants and automation tools.

Key Features

  • Two Transport Modes: STDIO for local integration and SSE for web-based access
  • Comprehensive Tools: Create, manage, and execute commands on infrastructure
  • AI-Friendly: Works with Claude Desktop, custom AI tools, and automation platforms
  • Secure: STDIO runs locally with no network exposure; SSE can be restricted to localhost

Quick Start

Start STDIO Server (for Claude Desktop integration):

redc mcp stdio

Start SSE Server (for web-based clients):

# Default (localhost:8080)
redc mcp sse

# Custom port
redc mcp sse localhost:9000

Available Tools

  • list_templates - List all available templates
  • list_cases - List all cases in the project
  • plan_case - Plan a new case from template (preview resources without creating)
  • start_case / stop_case / kill_case - Manage case lifecycle
  • get_case_status - Check case status
  • exec_command - Execute commands on cases

Example: Integrate with Chrerry stdio

Taking Chrerry stdio as an example, simply fill in http://localhost:9000/sse to get the tool information

mcp

Usage examples:

  • Test

    Test

  • Start machine

    Start machine

  • Execute command

    Execute command

  • Stop machine

    Stop machine

Example: Integrate with Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "redc": {
      "command": "/path/to/redc",
      "args": ["mcp", "stdio"]
    }
  }
}

For detailed documentation, see MCP.md.


Compose Orchestration Service

redc provides an orchestration service that allows you to manage multiple cloud service instances simultaneously through YAML configuration files, enabling complex infrastructure deployments.

Quick Start

Configuration File Example (Full Example)

version: "3.9"

# Service definitions
services:
  # Alibaba Cloud ECS instance
  aliyun_server:
    image: aliyun/ecs
    container_name: my_aliyun_ecs
    command: |
      echo "Alibaba Cloud ECS initialized"
      uptime
  
  # Volcengine ECS instance
  volcengine_server:
    image: volcengine/ecs
    container_name: my_volcengine_ecs
    command: |
      echo "Volcengine ECS initialized"
      uptime

# Post-deployment tasks
setup:
  - name: "Check Alibaba Cloud instance"
    service: aliyun_server
    command: hostname && ip addr show

  - name: "Check Volcengine instance"
    service: volcengine_server
    command: hostname && ip addr show

Common Commands

# Preview configuration
redc compose config redc-compose.yaml

# Start orchestration
redc compose up redc-compose.yaml

# Stop orchestration
redc compose down redc-compose.yaml

Detailed Documentation

For complete usage guide, advanced features, and best practices, see Compose Orchestration Guide.


Configure Cache and Acceleration

Configure cache address only:

echo 'plugin_cache_dir = "$HOME/.terraform.d/plugin-cache"' > ~/.terraformrc

Configure Alibaba Cloud acceleration, modify ~/.terraformrc file

plugin_cache_dir  = "$HOME/.terraform.d/plugin-cache"
disable_checkpoint = true
provider_installation {
  network_mirror {
    url = "https://mirrors.aliyun.com/terraform/"
    # Restrict only Alibaba Cloud related Providers to download from domestic mirror source
    include = ["registry.terraform.io/aliyun/alicloud",
               "registry.terraform.io/hashicorp/alicloud",
              ]
  }
  direct {
    # Declare that except for Alibaba Cloud related Providers, other Providers keep original download link
    exclude = ["registry.terraform.io/aliyun/alicloud",
               "registry.terraform.io/hashicorp/alicloud",
              ]
  }
}

Design Plan

  1. Create a new project first
  2. Creating a scenario under a specified project will copy a scenario folder from the scenario library to the project folder
  3. Creating the same scenario under different projects will not interfere with each other
  4. Creating the same scenario under the same project will not interfere with each other
  5. Multiple user operations will not interfere with each other (local authentication is done, but this should actually be done on the platform)
  • redc configuration file (~/redc/config.yaml)
  • Project1 (./project1)
    • Scenario1 (./project1/[uuid1])
      • main.tf
      • version.tf
      • output.tf
    • Scenario2 (./project1/[uuid2])
      • main.tf
      • version.tf
      • output.tf
    • Project status file (project.ini)
  • Project2 (./project2)
    • Scenario1 (./project2/[uuid1])
      • main.tf
      • version.tf
      • output.tf
    • Scenario2 (./project2/[uuid2])
      • ...
    • Project status file (project.ini)
  • Project3 (./project3)
    • ...

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