Zen AI Pentest
Version updated for https://github.com/SHAdd0WTAka/Zen-Ai-Pentest to version v3.0.0.
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Action Type
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Action Summary
Zen-AI-Pentest is an AI-powered penetration testing framework that automates real-world security assessments by executing actual security tools within isolated environments. It provides capabilities such as vulnerability scanning, technology detection, and real-time reporting via APIs, dashboards, and notifications, streamlining the penetration testing process for enterprises. Key features include automated scans with safety controls, professional reporting formats, and seamless deployment with Docker, making it a robust solution for secure and efficient testing workflows.
Release notes
Zen-AI-Pentest v3.0.0 - Release Notes
Release Date: February 19, 2026
Status: Production Ready
Codename: “Kimi Agent 100 Integration”
🎉 Major Release v3.0.0
Dieses Release integriert die komplette Kimi Agent 100 Analysis und bringt Zen-AI-Pentest auf Enterprise-Level.
✨ New Features
🤖 Multi-Agent System (ACP v1.1)
- Agent Coordinator - Autonome Agenten-Koordination
- ACP Protocol - Agent Communication Protocol v1.1
- Message Broker - Event-gesteuerte Kommunikation
- Agent Capabilities - Dynamische Fähigkeits-Erkennung
🔌 Plugin System
- Modular Architecture - Erweiterbares Plugin-Framework
- Safe Execution - Sandbox-basierte Plugin-Ausführung
- Dynamic Loading - Runtime Plugin-Management
📊 Workflow Engine
- State Machine - Hierarchische Zustandsverwaltung
- Workflow Orchestration - Komplexe Pentest-Workflows
- Queue Management - Prioritäts-Queues mit DLQ
- Event-Driven - Event-basierte Prozesssteuerung
🔒 Security Scanner Suite
- API Scanner - REST/GraphQL API Security Testing
- Cloud Scanner - AWS, Azure, GCP Security Checks
- OSINT Modules - Passives Information Gathering
- Certificate Transparency
- DNS Enumeration
- Email Harvesting
- Metadata Extraction
- Web Scraping
- WHOIS Lookup
💥 Exploit Modules
- Auth Bypass - Authentication Bypass Tests
- Command Injection - Command Injection Detection
- Deserialization - Deserialization Vulnerability Scanner
- Path Traversal - Path Traversal Tests
- SQL Injection - Advanced SQLi Detection
- SSRF - Server-Side Request Forgery
- XSS - Cross-Site Scripting Scanner
- XXE - XML External Entity Injection
📈 Monitoring Stack
- Prometheus - Metrics Collection
- Grafana - Visualization Dashboards
- Infrastructure Overview
- Security Metrics
- System Performance
- Alertmanager - Alert Management
- Loki - Log Aggregation
- Tempo - Distributed Tracing
☸️ Kubernetes Support
- K8s Manifests - Production-Ready Kubernetes Deployment
- Helm Charts - Package Management
- RBAC - Role-Based Access Control
- Secrets Management - Secure Secret Handling
🏗️ Infrastructure as Code
- Terraform - AWS/Azure/GCP Infrastructure
- Docker Compose - Multi-Environment Support
- Development
- Production
- Monitoring
📋 Compliance & Documentation
- ISO 27001 - 90.3% Compliance Score
- ISMS Documentation - Information Security Management
- Audit Logging - Complete Audit Trail
- Bug Bounty - Responsible Disclosure Process
🔧 Improvements
Performance
- Async Operations - Asynchronous Task Processing
- Caching System - Redis-based Caching
- Database Optimizations - Query Performance
- Connection Pooling - Efficient DB Connections
Security
- RBAC v2 - Enhanced Role-Based Access Control
- ABAC - Attribute-Based Access Control
- Encryption Layer - End-to-End Encryption
- Audit Trail - Complete Activity Logging
Developer Experience
- TypeScript - Full TypeScript Support
- API Documentation - OpenAPI/Swagger
- Testing Suite - Unit, Integration, Security Tests
- CI/CD - GitHub Actions Workflows
📦 Installation
Docker (Recommended)
docker-compose up -d
Kubernetes
kubectl apply -k kubernetes/
Terraform
cd terraform
terraform init
terraform apply
Python Package
pip install zen-ai-pentest==3.0.0
🚀 Quick Start
# Clone repository
git clone https://github.com/SHAdd0WTAka/Zen-Ai-Pentest.git
cd Zen-Ai-Pentest
# Start services
docker-compose up -d
# Access UI
open http://localhost:8080
# API Docs
open http://localhost:8080/docs
📊 Statistics
| Metric | Value |
|---|---|
| Total Files | 500+ |
| Code Lines | 300,000+ |
| Documentation | 50,000+ words |
| Modules | 50+ |
| Tests | 100+ |
| Contributors | 10+ |
🙏 Credits
- Kimi Agent 100 Analysis - Architecture & Module Design
- Community - Feedback & Contributions
- Security Researchers - Vulnerability Reports
📄 License
MIT License - See LICENSE for details
🔗 Links
- Repository: https://github.com/SHAdd0WTAka/Zen-Ai-Pentest
- Documentation: https://github.com/SHAdd0WTAka/Zen-Ai-Pentest/tree/main/docs
- Docker Hub: https://hub.docker.com/r/shadd0wtaka/zen-ai-pentest
- PyPI: https://pypi.org/project/zen-ai-pentest/
Released with ❤️ by the Zen-AI-Pentest Team