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RedTeam Agent

RedTeam-Agent: AI-Powered Autonomous Red Team Framework via Model Context Protocol. AI红队与内网渗透自动化框架,支持 gogo, fscan, httpx, nuclei, impacket, playwright 等 15+ 渗透工具,让 LLM 直接化身安全审计黑客。

Install

$git clone https://github.com/ktol1/RedTeam-Agent

Install command taken from the project's README or registry entry. Always review code before running it.

RedTeam-Agent

AI-Powered Autonomous Red Team Framework

Let AI become your security audit hacker

English | 简体中文 | Documentation | Quick Start


Overview

RedTeam-Agent is an AI-powered red team framework using a skill-first terminal workflow. AI reads project skills, discovers tools, executes commands in terminal, and summarizes high-signal findings.

Core philosophy: no manual tool-by-tool operation. Let AI orchestrate the workflow end-to-end.

Key Features

  • Plug and play: 15+ tools with automated setup
  • AI-driven workflow: Skill + terminal execution
  • Token optimized: output filtering and file-first strategy
  • AD coverage: BloodHound + impacket + Responder chain
  • Multi-client support: Cursor, Claude Desktop, VS Code/Cline

Tool Matrix

Network

  • gogo: fast asset discovery
  • fscan: comprehensive host/service scan

Web

  • httpx: HTTP probing and fingerprinting
  • nuclei: template-based vulnerability validation
  • ffuf: directory and parameter fuzzing

Active Directory

  • SharpHound / bloodhound-python
  • impacket (GetNPUsers, GetUserSPNs, secretsdump, ntlmrelayx, etc.)
  • pywerview, ldapdomaindump

Lateral Movement

  • nxc (NetExec)
  • impacket-wmiexec
  • impacket-psexec

Quick Start

1. Requirements

Python 3.8+
Windows 10/11 or Linux/macOS
8GB+ RAM recommended

2. Installation

git clone https://github.com/ktol1/RedTeam-Agent.git
cd RedTeam-Agent

python -m venv venv
# Windows PowerShell
.\venv\Scripts\Activate.ps1
# Linux/macOS
source venv/bin/activate

# Windows
python scripts/install_tools.py

# Linux/macOS
python scripts/install_tools_linux.py

3. Enable Skills Terminal Mode

No extra server setup is required.

cd RedTeam-Agent
dir .\tools

AI will read the repository skill and .github/copilot-instructions.md, then execute terminal commands directly.

4. Example Prompts

First load the redteam skill, then scan 192.168.1.0/24 in terminal,
write output to scan.txt, and summarize high-value findings.

Use SharpHound to collect corp.local data and summarize attack paths.

Set up a chisel proxy and provide upload/run commands.

AD Attack Flow

  1. Recon: gogo / fscan / kerbrute / pywerview
  2. Collection: SharpHound or bloodhound-python
  3. Analysis: BloodHound GUI or scripts/bloodhound_analysis.py
  4. Attack: Kerberoast / AS-REP Roast / secretsdump / relay
  5. Lateral: nxc / wmiexec / psexec / getST

Terminal Commands (Skill-driven)

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