Redc v2.0.0

Redc 2.0 is a milestone update. Based on internal feedback from v1.0, we have refactored the core interaction logic to resolve compatibility and template compilation issues. This release officially introduces AI-driven automation and powerful multi-template orchestration capabilities.

🚀 Key Features

🤖 LLM & AI-Native Support

• MCP & Skill Integration: Implemented the Model Context Protocol (MCP), allowing Large Language Models to directly interact with Red Team infrastructure via natural language (e.g., "Launch a Volcengine ECS instance").
• AI Template Generation: Simply describe your requirements, and the AI can generate Terraform scenario templates and Redc configurations based on existing logic.
• Conversational Management: Query cloud resource status and execute commands (like whoami or file operations) directly through the chat interface.

🐳 Docker-like Operational Paradigm

We have redesigned the CLI to lower the learning curve by mapping the Terraform lifecycle to a Docker-like experience:

• redc init: Initialize environment and download provider plugins (maps to tf init).
• redc plan: Generate execution plans with parameter injection (maps to tf plan).
• redc start <case_id>: Provision resources and display outputs (maps to tf apply).
• redc stop <case_id>: Destroy resources to prevent unnecessary costs (maps to tf destroy).

🎼 Redc Compose Orchestration

Introduced redc-compose.yaml for defining complex, dependency-driven hybrid cloud scenarios:

• Multi-Template Orchestration: Define service dependencies using depends_on.
• Hybrid Cloud Scheduling: Manage resources from different providers (Aliyun, AWS, Tencent Cloud, etc.) within a single configuration file.
• Lifecycle Hooks: Support for setup tasks to execute cross-instance logic (e.g., registering a proxy node to a C2 server) after infrastructure provisioning.
• Profiles: Switch between different deployment modes (e.g., prod, dev, attack) using the --profile flag.

📦 Ecosystem & Distribution

• Redc Registry: Launched the official scenario registry at redc.wgpsec.org to explore community-driven templates.
• One-Click Pull: Added the redc pull [vendor]/[template] command to download scenarios remotely, similar to pulling Docker images.

🛡️ Optimizations & Improvements

• Cost Control:
  • Full support for Spot/Preemptible Instances to significantly reduce costs for disposable infrastructure like proxy pools and scanning nodes.
  • Integrated Cloudflare R2 object storage to minimize traffic fees for static resources.
• New Scenarios:
  • Self-hosted Proxy Pools: Automatically generate Clash-compatible configurations.
  • Distributed Scanning: Architecture support for scalable active/passive scanning clusters.

🛠️ Installation

Homebrew

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

Redc v2.0.0

Redc 2.0 是一次重大升级，我们引入了 AI 驱动的基础设施管理、全新的 Docker-like 操作范式以及强大的多模版编排能力，旨在解决 v1.0 版本面临的兼容性与易用性问题。

🚀 核心特性更新

🤖 LLM 智能化支持 (AI-Native)

• MCP & Skill 接入：集成 Model Context Protocol，支持通过自然语言指令调用红队基础设施（如：“帮我开启一台火山引擎 ECS”）。
• 状态管理与交互：支持通过对话查询云资源状态、执行命令（如：redc mcp sse）。
• AI 模版生成：支持通过自然语言描述需求，由 AI 自动参考现有逻辑生成 Terraform 场景模版与配置文件。

🐳 Docker-like 操作范式

重构了核心命令行交互，降低上手门槛，将 Terraform 生命周期映射为类 Docker 的四种状态：

• redc init：初始化环境（对应 tf init）
• redc plan：生成执行计划（对应 tf plan）
• redc start <case_id>：启动服务并展示变更（对应 tf apply）
• redc stop <case_id>：销毁资源与环境（对应 tf destroy）

🎼 Redc Compose 编排

新增 redc-compose.yaml 支持，适用于复杂、多依赖的混合云场景构建：

• 多模版编排：支持定义服务间的依赖关系（depends_on）。
• 混合云调度：支持在同一配置文件中同时管理阿里云、腾讯云、AWS 等不同厂商资源。
• 生命周期 Hooks：支持 setup 后置任务，在设施启动后自动执行跨机器注册、C2 上线等逻辑。
• Profile 环境隔离：支持 --profile 参数切换不同部署模式（如 prod/dev）。

📦 生态与分发

• Redc Registry：上线官方场景仓库 redc.wgpsec.org，提供经过验证的高质量模版。
• 一键拉取：新增 redc pull [vendor]/[template] 命令，支持像拉取镜像一样获取场景。

🛡️ 优化与改进

• 成本控制：
  • 全面支持 Spot/抢占式实例，大幅降低代理池与扫描节点成本。
  • 集成 Cloudflare R2 对象存储，实现静态资源流量费用最小化。
• 新场景支持：
  • 新增自建代理池场景（自动生成 Clash 配置）。
  • 新增分布式扫描与被动扫描平台架构支持。

🛠️ 安装与升级

Homebrew

brew install wgpsec/tap/redc

Full Changelog: v2.0.0-beta.6...v2.0.0