Zen-AI-Pentest
🛡️ Professional AI-Powered Penetration Testing Framework
- Guest Control: Execute tools inside isolated VMs
🚀 Modern API & Backend
- FastAPI: High-performance REST API
- PostgreSQL: Persistent data storage
- WebSocket: Real-time scan updates
- JWT Auth: Role-based access control (RBAC)
- Background Tasks: Async scan execution
📊 Reporting & Notifications
- PDF Reports: Professional findings reports
- HTML Dashboard: Interactive web interface
- Slack/Email: Instant notifications
- JSON/XML: Integration with other tools
🐳 Easy Deployment
- Docker Compose: One-command full stack deployment
- CI/CD: GitHub Actions pipeline
- Production Ready: Optimized for enterprise use
🎯 Real Data Execution - No Mocks!
Zen-AI-Pentest executes real security tools - no simulations, no mocks, only actual tool execution:
- ✅ Nmap - Real port scanning with XML output parsing
- ✅ Nuclei - Real vulnerability detection with JSON output
- ✅ SQLMap - Real SQL injection testing with safety controls
- ✅ FFuF - Blazing fast web fuzzer
- ✅ WhatWeb - Technology detection (900+ plugins)
- ✅ WAFW00F - WAF detection (50+ signatures)
- ✅ Subfinder - Subdomain enumeration
- ✅ HTTPX - Fast HTTP prober
- ✅ Nikto - Web vulnerability scanner
- ✅ Multi-Agent - Researcher & Analyst agents cooperate
- ✅ Docker Sandbox - Isolated tool execution for safety
📖 Enhanced Tools: README_ENHANCED_TOOLS.md
All tools run with safety controls:
- Private IP blocking (protects internal networks)
- Timeout management (prevents hanging)
- Resource limits (CPU/memory constraints)
- Read-only filesystems (Docker sandbox)
📖 Details: IMPLEMENTATION_SUMMARY.md
🚀 Quick Start
📚 Table of Contents
- Overview
- Features
- Quick Start
- Installation
- Usage
- Architecture
- API Reference
- Project Structure
- Configuration
- Testing
- Docker Deployment
- Safety First
- Documentation
- Contributing
- Community & Support
- License
🎯 Overview
Zen-AI-Pentest is an autonomous, AI-powered penetration testing framework that combines cutting-edge language models with professional security tools. Built for security professionals, bug bounty hunters, and enterprise security teams.
graph TB
subgraph "Client Interface"
WebUI[🌐 Web UI]
CLI[💻 CLI]
API_Client[🔌 REST API]
end
subgraph "API Gateway"
FastAPI[FastAPI + WebSocket]
Auth[🔐 JWT/RBAC]
AgentMgr[🤖 Agent Manager]
end
subgraph "Workflow Orchestrator"
Guardrails[🛡️ Guardrails]
TaskQueue[📊 Task Queue]
RiskLevels[⚠️ Risk Levels 0-3]
VPN[🔒 VPN Check]
State[📈 State Machine]
end
subgraph "Agent Pool"
Agent1[🤖 Agent #1]
Agent2[🤖 Agent #2]
AgentN[🤖 Agent #N]
end
subgraph "Security Toolkit"
Nmap[🔍 nmap]
Whois[📡 whois]
Dig[🌐 dig]
Nuclei[⚡ nuclei]
SQLMap[🎯 sqlmap]
end
subgraph "Data Layer"
Postgres[🐘 PostgreSQL]
Redis[⚡ Redis Cache]
Storage[📁 File Storage]
end
WebUI --> FastAPI
CLI --> FastAPI
API_Client --> FastAPI
FastAPI --> Auth
Auth --> AgentMgr
AgentMgr --> Guardrails
Guardrails --> TaskQueue
TaskQueue --> RiskLevels
RiskLevels --> VPN
VPN --> State
State --> Agent1
State --> Agent2
State --> AgentN
Agent1 --> Nmap
Agent1 --> Whois
Agent2 --> Dig
Agent2 --> Nuclei
AgentN --> SQLMap
Nmap --> Postgres
Whois --> Redis
SQLMap --> Storage
Key Highlights
- 🤖 AI-Powered: Leverages state-of-the-art LLMs for intelligent decision making
- 🔒 Security-First: Multiple safety controls and validation layers
- 🚀 Production-Ready: Enterprise-grade with CI/CD, monitoring, and support
- 📊 Comprehensive: 40+ integrated security tools
- 🔧 Extensible: Plugin system for custom tools and integrations
- ☁️ Cloud-Native: Deploy on AWS, Azure, or GCP
- 📱 Quick Access: Scan QR codes for instant mobile access
☝️ Click to view all QR codes or scan with your phone!
✨ Features
🤖 Autonomous AI Agent
- ReAct Pattern: Reason → Act → Observe → Reflect
- State Machine: IDLE → PLANNING → EXECUTING → OBSERVING → REFLECTING → COMPLETED
- Memory System: Short-term, long-term, and context window management
- Tool Orchestration: Automatic selection and execution of 20+ pentesting tools
- Self-Correction: Retry logic and adaptive planning
- Human-in-the-Loop: Optional pause for critical decisions
🎯 Risk Engine
- False Positive Reduction: Multi-factor validation with Bayesian filtering
- Business Impact: Financial, compliance, and reputation risk calculation
- CVSS/EPSS Scoring: Industry-standard vulnerability assessment
- Priority Ranking: Automated finding prioritization
- LLM Voting: Multi-model consensus for accuracy
🔒 Exploit Validation
- Sandboxed Execution: Docker-based isolated testing
- Safety Controls: 4-level safety system (Read-Only to Full)
- Evidence Collection: Screenshots, HTTP captures, PCAP
- Chain of Custody: Complete audit trail
- Remediation: Automatic fix recommendations
📊 Benchmarking
- Competitor Comparison: vs PentestGPT, AutoPentest, Manual
- Test Scenarios: HTB machines, OWASP WebGoat, DVWA
- Metrics: Time-to-find, coverage, false positive rate
- Visual Reports: Charts and statistical analysis
- CI Integration: Automated regression testing
🔗 CI/CD Integration
- GitHub Actions: Native action support
- GitLab CI: Pipeline integration
- Jenkins: Plugin and pipeline support
- Output Formats: JSON, JUnit XML, SARIF
- Notifications: Slack, JIRA, Email alerts
- Exit Codes: Pipeline-friendly status codes
🧠 AI Persona System
- 11 Specialized Personas: Recon, Exploit, Report, Audit, Social, Network, Mobile, Red Team, ICS, Cloud, Crypto
- CLI Tool: Interactive and one-shot modes (
k-recon,k-exploit, etc.) - REST API: Flask-based API with WebSocket support
- Web UI: Modern browser interface with screenshot analysis
- Context Preservation: Multi-turn conversations with memory
- Screenshot Analysis: Upload and analyze images with AI personas
🛡️ Security Guardrails
- IP Validation - Blocks private networks (10.x, 192.168.x, 172.16-31.x)
- Domain Filtering - Prevents localhost/internal domain scanning
- Risk Levels - 4 levels (SAFE → AGGRESSIVE) with tool restrictions
- Rate Limiting - Prevents accidental DoS
🤖 Multi-Agent System
- Workflow Orchestrator - Manages complex pentest workflows
- Task Distribution - Assigns tasks to available agents
- Real-time Updates - WebSocket communication
- Result Aggregation - Collects and analyzes findings
🔒 VPN Integration (Optional)
- ProtonVPN Support - Native CLI integration
- Generic Detection - Works with OpenVPN, WireGuard, etc.
- Safety Warnings - Alerts when scanning without VPN
- Strict Mode - Can require VPN for scans
🐳 Docker Ready
- One-Command Deploy -
docker-compose up -d - Isolated Environment - All tools pre-installed
- Scalable - Run multiple agents
- Production Ready - Health checks & monitoring
🛠️ 40+ Integrated Tools
| Category | Tools |
|---|---|
| Network | Nmap, Masscan, Scapy, Tshark |
| Web | BurpSuite, SQLMap, Gobuster, OWASP ZAP |
| Exploitation | Metasploit Framework |
| Brute Force | Hydra, Hashcat |
| Reconnaissance | Amass, Nuclei, TheHarvester, Subdomain Scanner |
| Active Directory | BloodHound, CrackMapExec, Responder |
| Wireless | Aircrack-ng Suite |
🔍 Subdomain Scanner
- Multi-Technique Enumeration: DNS, Wordlist, Certificate Transparency
- Advanced Techniques: Zone Transfer (AXFR), Permutation/Mangling
- OSINT Integration: VirusTotal, AlienVault OTX, BufferOver
- IPv6 Support: AAAA record enumeration
- Technology Detection: Automatic fingerprinting of live hosts
- Export Formats: JSON, CSV, TXT
- REST API: Async and sync scanning endpoints
- CLI Tools: Standalone scanner with comprehensive options
🤖 For AI Agents
- AGENTS.md - Essential guide for AI development partners
- Real Tool Execution - No mocks, actual security tools
- Multi-Agent System - Researcher, Analyst, Exploit agents
- Safety Controls - 4-level sandbox system
- Architecture Guide - Complete system overview
🔔 Notifications & Integrations
- Telegram Bot: @Zenaipenbot - Instant CI/CD notifications
- Discord Integration: Automated channel updates & GitHub webhooks
- Slack/Email: Enterprise notification support
- GitHub Actions: Native workflow integration
- QR Code Gallery: Quick access to all resources
☁️ Multi-Cloud & Virtualization
- Local: VirtualBox VM Management
- Cloud: AWS EC2, Azure VMs, Google Cloud Compute
- Snapshots: Automated clean-state workflows
Option 1: Docker (Recommended)
# Clone repository
git clone https://github.com/SHAdd0WTAka/zen-ai-pentest.git
cd zen-ai-pentest
# Copy and configure environment
cp .env.example .env
# Edit .env with your settings
# Start full stack
docker-compose up -d
# Access:
# Dashboard: http://localhost:3000
# API Docs: http://localhost:8000/docs
# API: http://localhost:8000
Option 2: Local Installation
# Install dependencies
pip install -r requirements.txt
# Initialize database
python database/models.py
# Start API server
python api/main.py
# Run subdomain scan
python scan_target_subdomains.py
# Or use the advanced CLI
python tools/subdomain_enum.py example.com --advanced
Option 3: AI Personas Quick Start
# Start the AI Personas API & Web UI
bash api/QUICKSTART.sh
# Or manually:
bash api/manage.sh start
# Open http://127.0.0.1:5000
# CLI Usage
source tools/setup_aliases.sh
k-recon "Target: example.com"
k-exploit "Write SQLi scanner"
k-chat # Interactive mode
Option 4: VirtualBox VM Setup
# Automated Kali Linux setup
python scripts/setup_vms.py --kali
# Manual setup
# See docs/setup/VIRTUALBOX_SETUP.md
📖 Installation
For detailed installation instructions, see:
💻 Usage
Python API
from agents.react_agent import ReActAgent, ReActAgentConfig
# Configure agent
config = ReActAgentConfig(
max_iterations=10,
use_vm=True,
vm_name="kali-pentest"
)
# Create agent
agent = ReActAgent(config)
# Run autonomous scan
result = agent.run(
target="example.com",
objective="Comprehensive security assessment"
)
# Generate report
print(agent.generate_report(result))
REST API
# Authentication
curl -X POST http://localhost:8000/auth/login \
-H "Content-Type: application/json" \
-d '{"username":"admin","password":"admin"}'
# Create scan
curl -X POST http://localhost:8000/scans \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{"name":"Network Scan","target":"192.168.1.0/24","scan_type":"network","config":{"ports":"top-1000"}}'
# Execute tool
curl -X POST http://localhost:8000/tools/execute \
-H "Authorization: Bearer $TOKEN" \
-d '{"tool_name":"nmap_scan","target":"scanme.nmap.org","parameters":{"ports":"22,80,443"}}'
# Generate report
curl -X POST http://localhost:8000/reports \
-H "Authorization: Bearer $TOKEN" \
-d '{"scan_id":1,"format":"pdf","template":"default"}'
WebSocket (Real-Time)
const ws = new WebSocket("ws://localhost:8000/ws/scans/1");
ws.onmessage = (event) => {
const data = JSON.parse(event.data);
console.log("Scan update:", data);
};
🏗️ System Architecture
┌─────────────────────────────────────────────────────────────────────┐
│ CLIENT INTERFACE │
├─────────────────────────────────────────────────────────────────────┤
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ 🌐 Web UI │ │ 💻 CLI │ │ 🔌 API │ │
│ │ (React) │ │ (Python) │ │ (REST) │ │
│ └──────┬───────┘ └──────┬───────┘ └──────┬───────┘ │
└─────────┼─────────────────┼─────────────────┼───────────────────────┘
│ │ │
└─────────────────┼─────────────────┘
│ HTTPS / JWT
▼
┌─────────────────────────────────────────────────────────────────────┐
│ API GATEWAY │
│ FastAPI + WebSocket │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ 🔐 Auth │ │ 📋 Work- │ │ 🤖 Agent │ │
│ │ (JWT/RBAC) │ │ flow API │ │ Manager │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
└─────────────────────────┬───────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────┐
│ WORKFLOW ORCHESTRATOR │
├─────────────────────────────────────────────────────────────────────┤
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ 🛡️ │ │ 📊 Task │ │ ⚠️ Risk │ │
│ │ Guardrails │ │ Queue │ │ Levels │ │
│ │ (IP/Domain │ │ │ │ (0-3) │ │
│ │ Filter) │ │ │ │ │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ 🔒 VPN │ │ 📈 State │ │ 📝 Report │ │
│ │ Check │ │ Machine │ │ Generator │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
└─────────────────────────┬───────────────────────────────────────────┘
│ WebSocket + Task Distribution
▼
┌─────────────────────────────────────────────────────────────────────┐
│ AGENT POOL │
├─────────────────────────────────────────────────────────────────────┤
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ 🤖 Agent │ │ 🤖 Agent │ │ 🤖 Agent │ │
│ │ #1 │ │ #2 │ │ #N │ │
│ │ (Docker) │ │ (Docker) │ │ (Docker) │ │
│ └──────┬───────┘ └──────┬───────┘ └──────┬───────┘ │
└─────────┼─────────────────┼─────────────────┼───────────────────────┘
│ │ │
▼ ▼ ▼
┌─────────────────────────────────────────────────────────────────────┐
│ SECURITY TOOLKIT │
├─────────────────────────────────────────────────────────────────────┤
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ 🔍 │ │ 📡 │ │ 🌐 │ │ ⚡ │ │ 🎯 │ │
│ │ nmap │ │ whois │ │ dig │ │ nuclei │ │ sqlmap │ │
│ │ │ │ │ │ │ │ │ │ │ │
│ └──────────┘ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
└─────────────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────────────┐
│ DATA LAYER │
├─────────────────────────────────────────────────────────────────────┤
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ 🐘 Postgre │ │ ⚡ Redis │ │ 📁 File │ │
│ │ SQL │ │ Cache │ │ Storage │ │
│ │ (State) │ │ (Queue) │ │ (Reports) │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────────────┘
For detailed architecture documentation, see docs/ARCHITECTURE.md.
📡 API Reference
- API Documentation - Complete REST API reference
- WebSocket API - Real-time updates
- Authentication - Security and auth
📁 Project Structure
zen-ai-pentest/
├── api/ # FastAPI Backend (main.py, auth.py, websocket.py)
├── agents/ # AI Agents (react_agent.py, react_agent_vm.py)
├── autonomous/ # ReAct Loop (agent_loop.py, exploit_validator.py, memory.py)
├── tools/ # 40+ Security Tools
│ ├── Network: nmap, masscan, scapy, tshark
│ ├── Web: nuclei, sqlmap, nikto, zap, burpsuite, ffuf, gobuster
│ ├── Recon: subfinder, amass, httpx, whatweb, wafw00f, subdomain_scan, unified_recon
│ ├── AD: bloodhound, crackmapexec, responder
│ ├── OSINT: sherlock, scout, ignorant
│ ├── Secrets: trufflehog, trivy
│ ├── Wireless: aircrack
│ ├── Code: semgrep
│ ├── AI/Kimi: kimi_cli, kimi_helper, update_personas
│ └── Core: tool_caller, tool_registry
├── risk_engine/ # Risk Analysis (cvss.py, epss.py, false_positive_engine.py)
├── benchmarks/ # Performance Testing
├── integrations/ # CI/CD (github, gitlab, slack, jira, jenkins)
├── database/ # PostgreSQL Models
├── gui/ # React Dashboard
├── reports/ # PDF/HTML/JSON Generator
├── notifications/ # Alerts (slack, email)
├── docker/ # Deployment configs
├── docs/ # Documentation (ARCHITECTURE.md, INSTALLATION.md, API.md, setup/)
├── tests/ # Test Suite
└── scripts/ # Setup Scripts
🔧 Configuration
Environment Variables
# Database
DATABASE_URL=postgresql://postgres:password@localhost:5432/zen_pentest
# Security
SECRET_KEY=your-secret-key-here
JWT_EXPIRATION=3600
# AI Providers (Kimi AI recommended)
KIMI_API_KEY=your-kimi-api-key
DEFAULT_BACKEND=kimi
DEFAULT_MODEL=kimi-k2.5
# Alternative Backends (optional)
# OPENAI_API_KEY=sk-...
# ANTHROPIC_API_KEY=sk-ant-...
# OPENROUTER_API_KEY=...
# Notifications
SLACK_WEBHOOK_URL=https://hooks.slack.com/...
SMTP_HOST=smtp.gmail.com
# Cloud Providers
AWS_ACCESS_KEY_ID=AKIA...
AZURE_SUBSCRIPTION_ID=...
See .env.example for all options.
🧪 Testing
# Run all tests
pytest
# With coverage
pytest --cov=. --cov-report=html
# Specific test file
pytest tests/test_react_agent.py -v
# Integration tests
pytest tests/integration/ -v
🐳 Docker Deployment
Quick Setup (WSL2 + Docker)
Wir empfehlen Docker in WSL2 (Ubuntu) für die beste Performance:
Option 1: Automatisches Setup
# Windows: Setup-Launcher starten
scripts\docker-setup.bat
# Oder direkt in Ubuntu WSL:
./scripts/setup_docker_wsl2.sh
Option 2: Docker Desktop (Windows)
# PowerShell als Administrator:
powershell -ExecutionPolicy Bypass -File scripts/setup_docker_windows.ps1
📖 Komplette Docker + WSL2 Anleitung - Detaillierte Schritte für beide Optionen
Full Stack Starten
# Nach Docker-Installation:
docker-compose up -d
# Check status
docker-compose ps
# View logs
docker-compose logs -f api
# Scale agents
docker-compose up -d --scale agent=3
Services
| Service | Port | Description |
|---|---|---|
| API | 8000 | FastAPI server |
| PostgreSQL | 5432 | Database |
| Redis | 6379 | Cache |
| Agent | - | Pentest agent |
🛡️ Safety First
Default Protections
- ✅ Private IP Blocking - Prevents scanning 10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16
- ✅ Loopback Protection - Blocks 127.x.x.x and ::1
- ✅ Local Domain Filter - Prevents .local, .internal, localhost
- ✅ Risk Level Control - Restricts tools by safety level
- ✅ Rate Limiting - Prevents abuse
Risk Levels
| Level | Tools | Description |
|---|---|---|
| SAFE (0) | whois, dns, subdomain | Reconnaissance only |
| NORMAL (1) | + nmap, nuclei | Standard scanning |
| ELEVATED (2) | + sqlmap, exploit | Light exploitation |
| AGGRESSIVE (3) | + pivot, lateral | Full exploitation |
⚠️ Always ensure you have authorization before scanning!
📚 Documentation
| Document | Description |
|---|---|
| DOCKER.md | Docker deployment guide |
| GUARDRAILS.md | Security guardrails documentation |
| GUARDRAILS_INTEGRATION.md | Guardrails integration guide |
| VPN_INTEGRATION.md | VPN setup and usage |
| DEMO_E2E.md | End-to-end demo documentation |
| AGENTS.md | Agent development guide |
🤝 Contributing
We welcome contributions! Please see:
- CONTRIBUTING.md - Contribution guidelines
- CODE_OF_CONDUCT.md - Community standards
- CONTRIBUTORS.md - Our amazing contributors
Quick start:
- Fork the repository
- Create feature branch (
git checkout -b feature/amazing-feature) - Commit changes (
git commit -m 'Add amazing feature') - Push to branch (
git push origin feature/amazing-feature) - Open Pull Request
🌐 Community & Support
Join our growing community!
Quick Links
| Platform | Link | QR Code |
|---|---|---|
| 🎮 Discord | discord.gg/zJZUJwK9AC | 📱 Scan |
| 💬 GitHub Discussions | SHAdd0WTAka/zen-ai-pentest/discussions | 📱 Scan |
| 📦 PyPI Package | pypi.org/project/zen-ai-pentest | 📱 Scan |
📱 All QR Codes
View our complete QR code gallery: docs/qr_codes/index.html
💬 Discord Server "Zen-Ai"
Fully configured with 11 channels:
- 📢 #announcements
- 📜 #rules
- 💬 #general
- 👋 #introductions
- 📚 #knowledge-base
- 🤖 #tools-automation
- 🔒 #security-research
- 🧠 #ai-ml-discussion
- 🐛 #bug-reports
- 💡 #feature-requests
- 🆘 #support
📧 Support
- 📖 Documentation - Comprehensive guides
- 🐛 Issue Tracker - Bug reports
- 📧 Email - Direct contact
See SUPPORT.md for detailed support options.
⚠️ Disclaimer
IMPORTANT: This tool is for authorized security testing only. Always obtain proper permission before testing any system you do not own. Unauthorized access to computer systems is illegal.
- Use only on systems you have explicit permission to test
- Respect privacy and data protection laws
- The authors assume no liability for misuse or damage
📄 License
This project is licensed under the MIT License - see LICENSE file for details.
🙏 Acknowledgments
- LangGraph - Agent framework
- FastAPI - Web framework
- Kali Linux - Penetration testing distribution
- All open-source security tool creators
👥 Authors & Team
Core Development Team
|
@SHAdd0WTAka Project Founder & Lead Developer Security Architect |
Kimi AI AI Development Partner Architecture & Design |
AI Contributors
- Kimi AI (Moonshot AI) - Primary AI development partner
- Led architecture design for autonomous agent loop
- Implemented Risk Engine with false-positive reduction
- Created CI/CD integration templates
- Developed benchmarking framework
- Co-authored documentation and roadmaps
Special Thanks
- Grok (xAI) - Strategic analysis and competitive research
- GitHub Copilot - Code assistance and suggestions
- Security Community - Feedback, bug reports, and feature requests
🎨 Project Artwork
Hemisphere Sync
🧠 GEHIRN
╱ ╲
╱ LINKS ╲ ╱ RECHTS ╲
╱ (Kimi) ╲ ╱(Observer^^)╲
╱ Logik ╲╱ Kreativität ╲
Analytisch ╳ Ganzheitlich
Struktur ╳ Vision
╲ ╱╲ ╱
╲ ╱ ╲ ╱
╲ ╱ ╲╱
╲╱ ╱
╲ ╱
╲ ╱
❤️
HEMISPHERE_SYNC
"Zwei Hälften - Ein Herz - Ein Team"
A fusion of human vision and AI capability
Left Brain (Kimi - Logik) + Right Brain (Observer^^ - Kreativität) = Hemisphere_Sync
| Hemisphere | Zuständig für | Team |
|---|---|---|
| Left Brain | Logik, Struktur, Code, Analytik | Kimi 🤖 |
| Right Brain | Kreativität, Vision, Design, Emotion | Observer^^ 🎨 |
Custom artwork by SHAdd0WTAka representing the fusion of human vision and AI capability.
Made with ❤️ for the security community
© 2026 Zen-AI-Pentest. All rights reserved.
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|---|---|---|---|---|
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Total release size: 3.0 MB
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