🚀 HackGPT Enterprise

AI-Powered Penetration Testing Platform

HackGPT Enterprise is a production-ready, cloud-native AI-powered penetration testing platform designed for enterprise security teams. It combines advanced AI, machine learning, microservices architecture, and comprehensive security frameworks to deliver professional-grade cybersecurity assessments.

Created by Yashab Alam, Founder & CEO of ZehraSec

💰 Support the Project: Donate to HackGPT Development | Help us build the future of AI-powered penetration testing!

🏢 Enterprise Features

🤖 Advanced AI Engine

Multi-Model Support: OpenAI GPT-4, Local LLM (Ollama), TensorFlow, PyTorch
Machine Learning: Pattern recognition, anomaly detection, behavioral analysis
Zero-Day Detection: ML-powered vulnerability discovery and correlation
Risk Intelligence: CVSS scoring, impact assessment, exploit prioritization
Automated Reporting: Executive summaries, technical details, compliance mapping

🛡️ Enterprise Security & Compliance

Authentication: RBAC + LDAP/Active Directory integration
Authorization: Role-based permissions (Admin, Lead, Senior, Pentester, Analyst)
Compliance: OWASP, NIST, ISO27001, SOC2, PCI-DSS frameworks
Audit Logging: Comprehensive activity tracking and forensics
Data Protection: AES-256-GCM encryption, JWT tokens, secure sessions

🏗️ Cloud-Native Architecture

Microservices: Docker containers with Kubernetes orchestration
Service Discovery: Consul-based service registry
Load Balancing: Nginx reverse proxy with auto-scaling
Multi-Cloud: AWS, Azure, GCP deployment support
High Availability: Circuit breakers, health checks, failover

⚡ Performance & Scalability

Parallel Processing: Celery-based distributed task execution
Multi-Layer Caching: Redis + memory caching with TTL management
Database: PostgreSQL with connection pooling and replication
Real-Time: WebSocket dashboards with live updates
Auto-Scaling: Worker pools adapt to workload demands

📊 Enterprise Reporting & Analytics

Dynamic Reports: HTML, PDF, JSON, XML, CSV export formats
Real-Time Dashboards: Prometheus + Grafana monitoring stack
Log Analytics: ELK stack (Elasticsearch + Kibana) integration
Executive Summaries: AI-generated business impact assessments
Compliance Reports: Framework-specific compliance documentation

🚀 Quick Start

Prerequisites

Operating System: Linux (Ubuntu/Debian/RHEL/CentOS), macOS, or Windows WSL2
Python: 3.8+ with pip and virtual environment support
Docker: For containerized deployment (recommended)
Resources: Minimum 4GB RAM, 20GB disk space

Enterprise Installation

# Clone the repository
git clone https://github.com/yashab-cyber/HackGPT.git
cd HackGPT

# Run enterprise installer (sets up all services)
chmod +x install.sh
./install.sh

# Configure environment
cp .env.example .env
# Edit .env with your API keys and settings
nano .env

# Verify installation
python3 test_installation.py

Deployment Options

1. Standalone Enterprise Mode

# Activate virtual environment
source venv/bin/activate

# Run enterprise application
python3 hackgpt_v2.py

2. API Server Mode

# Start REST API server
python3 hackgpt_v2.py --api

# API available at: http://localhost:8000
# Health check: http://localhost:8000/api/health

3. Web Dashboard Mode

# Start web dashboard
python3 hackgpt_v2.py --web

# Dashboard available at: http://localhost:8080

4. Full Enterprise Stack (Recommended)

# Deploy complete microservices stack
docker-compose up -d

# Services:
# - API Server: http://localhost:8000
# - Web Dashboard: http://localhost:8080  
# - Monitoring: http://localhost:9090 (Prometheus)
# - Analytics: http://localhost:3000 (Grafana)
# - Logs: http://localhost:5601 (Kibana)

5. Direct Assessment Mode

# Run immediate assessment
python3 hackgpt_v2.py \
  --target example.com \
  --scope "Web application and API" \
  --auth-key "ENTERPRISE-2025-AUTH" \
  --assessment-type black-box \
  --compliance OWASP

🏗️ Enterprise Architecture

Core Components

graph TD
    A[Load Balancer/Nginx] --> B[HackGPT API Gateway]
    B --> C[Authentication Service]
    B --> D[AI Engine Service] 
    B --> E[Exploitation Service]
    B --> F[Reporting Service]
    
    C --> G[LDAP/AD]
    D --> H[OpenAI API]
    D --> I[Local LLM]
    D --> J[ML Models]
    
    E --> K[Parallel Processor]
    F --> L[Report Generator]
    
    K --> M[Celery Workers]
    M --> N[Redis Queue]
    
    B --> O[PostgreSQL]
    B --> P[Redis Cache]
    
    Q[Prometheus] --> R[Grafana]
    S[Elasticsearch] --> T[Kibana]

Service Stack

Service	Purpose	Port	Technology
hackgpt-app	Main application	8000, 8080	Python/Flask
hackgpt-worker	Background tasks	-	Celery
hackgpt-database	Data persistence	5432	PostgreSQL 15
hackgpt-redis	Cache & queues	6379	Redis 7
prometheus	Metrics collection	9090	Prometheus
grafana	Monitoring dashboard	3000	Grafana
elasticsearch	Log aggregation	9200	Elasticsearch
kibana	Log visualization	5601	Kibana
consul	Service discovery	8500	Consul
nginx	Load balancer	80, 443	Nginx

🔧 Configuration

Enterprise Configuration (`config.ini`)

The configuration file supports 200+ options across multiple categories:

[app]
debug = false
environment = production
max_sessions = 100

[database]
url = postgresql://hackgpt:hackgpt123@localhost:5432/hackgpt
pool_size = 20
backup_enabled = true

[ai]
openai_api_key = your_key_here
openai_model = gpt-4
enable_local_fallback = true
confidence_threshold = 0.8

[security]
secret_key = your_secret_here
jwt_algorithm = HS256
rate_limit_enabled = true

[ldap]
server = ldaps://your-ldap-server.com:636
bind_dn = cn=admin,dc=example,dc=com

[compliance]
frameworks = OWASP,NIST,ISO27001,SOC2,PCI-DSS
auto_compliance_check = true

[cloud]
docker_host = unix:///var/run/docker.sock
service_registry_backend = consul

Environment Variables (`.env`)

Over 100 environment variables for enterprise deployment:

# Core Services
DATABASE_URL=postgresql://hackgpt:hackgpt123@localhost:5432/hackgpt
REDIS_URL=redis://localhost:6379/0
OPENAI_API_KEY=your_openai_api_key

# Security
SECRET_KEY=your_secret_key
JWT_SECRET_KEY=your_jwt_secret
LDAP_SERVER=ldaps://your-ldap.com:636

# Cloud Providers
AWS_ACCESS_KEY_ID=your_aws_key
AZURE_SUBSCRIPTION_ID=your_azure_id
GCP_PROJECT_ID=your_gcp_project

# Monitoring
PROMETHEUS_ENDPOINT=http://localhost:9090
GRAFANA_API_KEY=your_grafana_key
ELASTICSEARCH_ENDPOINT=http://localhost:9200

🎯 Enterprise Penetration Testing

Enhanced 6-Phase Methodology

Phase 1: Intelligence Gathering & Reconnaissance

Enterprise Features:

AI-powered OSINT automation
Multi-source data aggregation
Threat intelligence correlation
Cloud asset discovery (AWS, Azure, GCP)
Tools: theHarvester, Amass, Subfinder, Shodan API

Phase 2: Advanced Scanning & Enumeration

Enterprise Features:

Parallel distributed scanning
Service fingerprinting with ML classification
Vulnerability correlation across assets
Zero-day pattern detection
Tools: Nmap, Masscan, Nuclei, HTTPx, Naabu

Phase 3: Vulnerability Assessment

Enterprise Features:

CVSS v3.1 automated scoring
Business impact analysis
Exploit availability assessment
Compliance framework mapping
Tools: OpenVAS, Nexpose integration, custom scanners

Phase 4: Exploitation & Post-Exploitation

Enterprise Features:

Safe-mode exploitation with approval workflows
Privilege escalation enumeration
Lateral movement mapping
Data exfiltration simulation
Tools: Metasploit, CrackMapExec, BloodHound, custom exploits

Phase 5: Enterprise Reporting & Analytics

Enterprise Features:

Executive dashboard with KPIs
Technical vulnerability details
Compliance gap analysis
Risk prioritization matrix
Outputs: HTML, PDF, JSON, XML, compliance reports

Phase 6: Verification & Retesting

Enterprise Features:

Automated remediation verification
Regression testing for fixes
Continuous security monitoring
Trend analysis and metrics
Features: Scheduled retests, delta reporting

📊 Enterprise Interfaces

1. Command Line Interface (CLI)

# Interactive enterprise mode
python3 hackgpt_v2.py

# Available options:
# 1. Full Enterprise Pentest (All 6 Phases)
# 2. Run Specific Phase
# 3. Custom Assessment Workflow
# 4. View Reports & Analytics
# 5. Real-time Dashboard
# 6. User & Permission Management
# 7. System Configuration
# 8. Compliance Management
# 9. Cloud & Container Management
# 10. AI Engine Configuration

2. REST API Server

# Start API server
python3 hackgpt_v2.py --api

# Available endpoints:
# GET  /api/health - Health check
# POST /api/pentest/start - Start assessment
# GET  /api/sessions - List sessions
# GET  /api/reports/{id} - Get report
# POST /api/users - User management
# GET  /api/compliance - Compliance status

3. Web Dashboard

# Start web dashboard
python3 hackgpt_v2.py --web

# Features:
# - Real-time assessment monitoring
# - Interactive vulnerability management
# - Executive summary dashboard
# - User and role management
# - System configuration
# - Compliance reporting

4. Voice Commands (Enterprise)

# Voice command mode
python3 hackgpt_v2.py --voice

# Supported commands:
# "Start enterprise assessment of example.com"
# "Show compliance dashboard"
# "Generate executive report"
# "Scale worker pool to 10"

🔐 Enterprise Security

Authentication & Authorization

Multi-Factor Authentication: LDAP/AD + JWT tokens
Role-Based Access Control: Granular permissions matrix
Session Management: Secure session handling with timeout
API Security: Rate limiting, CORS, input validation

Data Protection

Encryption: AES-256-GCM for data at rest
Transport Security: TLS 1.3 for data in transit
Key Management: Automated key rotation
Audit Logging: Comprehensive activity tracking

Compliance Frameworks

Framework	Coverage	Reports	Automation
OWASP Top 10	✅ Full	✅ Yes	✅ Automated
NIST Cybersecurity Framework	✅ Full	✅ Yes	✅ Automated
ISO 27001	✅ Partial	✅ Yes	✅ Semi-automated
SOC 2	✅ Partial	✅ Yes	✅ Semi-automated
PCI DSS	✅ Partial	✅ Yes	✅ Manual

📈 Monitoring & Analytics

Real-Time Monitoring

System Metrics: CPU, memory, disk, network utilization
Application Metrics: Request rates, response times, error rates
Security Metrics: Vulnerability counts, risk scores, remediation rates
Business Metrics: Assessment coverage, compliance scores

Alerting

Email Alerts: Critical vulnerabilities, system issues
Slack Integration: Real-time notifications to security teams
Webhook Support: Custom integrations with SIEM systems
Dashboard Alerts: Visual indicators and notifications

Analytics Dashboard

# Access Grafana dashboard
http://localhost:3000
# Login: admin / hackgpt123

# Pre-configured dashboards:
# - HackGPT System Overview
# - Assessment Performance Metrics  
# - Vulnerability Trend Analysis
# - User Activity Dashboard
# - Compliance Status Overview

🛠️ Advanced Usage

Custom AI Models

# Configure custom AI endpoints
config['ai']['custom_model_endpoint'] = 'http://your-llm:8000'
config['ai']['model_type'] = 'custom'

Custom Compliance Frameworks

# Add custom compliance framework
from security.compliance import ComplianceFrameworkMapper

mapper = ComplianceFrameworkMapper()
mapper.add_framework('CUSTOM', {
    'sql_injection': 'SEC-01',
    'xss': 'SEC-02',
    # ... custom mappings
})

Kubernetes Deployment

# Deploy to Kubernetes cluster
kubectl apply -f k8s/

Multi-Cloud Deployment

# Deploy to AWS
python3 hackgpt_v2.py --deploy aws

# Deploy to Azure  
python3 hackgpt_v2.py --deploy azure

# Deploy to GCP
python3 hackgpt_v2.py --deploy gcp

🧪 Testing & Development

Running Tests

# Unit tests
pytest tests/unit/

# Integration tests  
pytest tests/integration/

# End-to-end tests
pytest tests/e2e/

# Security tests
bandit -r .
safety check

Development Setup

# Install development dependencies
pip install -r requirements-dev.txt

# Pre-commit hooks
pre-commit install

# Code formatting
black .
flake8 .
mypy .

📦 Enterprise Deployment

Docker Swarm

# Initialize swarm
docker swarm init

# Deploy stack
docker stack deploy -c docker-compose.yml hackgpt

Kubernetes

# Create namespace
kubectl create namespace hackgpt

# Deploy applications
kubectl apply -f k8s/

# Scale workers
kubectl scale deployment hackgpt-worker --replicas=10

Cloud Platforms

AWS Deployment

# ECS deployment
aws ecs create-cluster --cluster-name hackgpt
aws ecs create-service --service-name hackgpt-api

Azure Deployment

# ACI deployment
az container create --resource-group hackgpt --name hackgpt-api

GCP Deployment

# GKE deployment
gcloud container clusters create hackgpt-cluster
kubectl apply -f k8s/

🔧 Troubleshooting

Common Enterprise Issues

Database Connection Issues

# Check PostgreSQL status
systemctl status postgresql
docker logs hackgpt-database

# Test connection
python3 -c "from database import get_db_manager; print(get_db_manager().test_connection())"

Redis Cache Issues

# Check Redis status
redis-cli ping
docker logs hackgpt-redis

# Clear cache
redis-cli FLUSHALL

AI Engine Issues

# Test OpenAI connectivity
python3 -c "import openai; print(openai.Model.list())"

# Check local LLM
ollama list
ollama run llama2:7b

Worker Pool Issues

# Check Celery workers
celery -A performance.parallel_processor inspect active

# Restart workers
docker-compose restart hackgpt-worker

Performance Optimization

# Database optimization
python3 -c "from database import optimize_database; optimize_database()"

# Cache warming
python3 -c "from performance.cache_manager import warm_cache; warm_cache()"

# Worker scaling
docker-compose up --scale hackgpt-worker=10

📄 Enterprise License

This project is licensed under the MIT License with additional enterprise terms:

Commercial Use: Permitted with attribution
Enterprise Support: Available through support channels
Compliance: Tool usage must comply with applicable laws
Liability: Limited liability for enterprise deployments

🆘 Enterprise Support

Support Channels

Enterprise Support: [email protected]
Technical Issues: https://github.com/yashab-cyber/HackGPT/issues
Feature Requests: https://github.com/yashab-cyber/HackGPT/discussions
Security Issues: [email protected]
WhatsApp Business: Join Channel

Professional Services

Implementation: Custom deployment and configuration
Training: Security team training and certification
Custom Development: Feature development and integration
24/7 Support: Enterprise support packages available

Connect with the Team

Yashab Alam: GitHub | Instagram | LinkedIn
ZehraSec: Website | Instagram | LinkedIn

📊 Project Statistics

Metric	Value
Total Lines of Code	15,000+
Enterprise Dependencies	90+
Configuration Options	200+
Environment Variables	100+
Docker Services	12
Supported Compliance Frameworks	5
Penetration Testing Tools	50+
API Endpoints	25+
Deployment Platforms	6+

🗺️ Roadmap

Version 2.1 (Q3 2025)

Advanced threat hunting capabilities
ML-based false positive reduction
Integration with popular SIEM systems
Mobile application for executives

Version 2.2 (Q4 2025)

Automated penetration testing workflows
Advanced cloud security assessments
Integration with CI/CD pipelines
Enhanced compliance reporting

Version 3.0 (Q1 2026)

Fully autonomous security assessments
Advanced AI attack simulation
Quantum-safe cryptography
Next-generation threat detection

🙏 Contributors

Core Development Team

Lead Developer & Founder: Yashab Alam - @yashab.alam | LinkedIn
Company: ZehraSec - Cybersecurity Solutions & Research
AI/ML Engineer: Enterprise AI Team
Security Engineer: Enterprise Security Team
DevOps Engineer: Enterprise Infrastructure Team

ZehraSec Social Media

🌐 Website: www.zehrasec.com
📸 Instagram: @_zehrasec
📘 Facebook: ZehraSec Official
🐦 X (Twitter): @zehrasec
💼 LinkedIn: ZehraSec Company
💬 WhatsApp: Business Channel

Acknowledgments

OpenAI for GPT-4 API access
Ollama team for local LLM support
Docker & Kubernetes communities
Security research community
Open source tool developers

💰 Support HackGPT Development

Your donations help accelerate development and support the growing cybersecurity community:

Cryptocurrency Donations (Recommended):

Solana (SOL): 5pEwP9JN8tRCXL5Vc9gQrxRyHHyn7J6P2DCC8cSQKDKT
Bitcoin (BTC): bc1qmkptg6wqn9sjlx6wf7dk0px0yq4ynr4ukj2x8c

Traditional Payment:

PayPal: [email protected]
Email: [email protected]

📄 Full Donation Information: DONATE.md - Support tiers, funding goals, and recognition programs

⚖️ Legal & Compliance

⚠️ IMPORTANT LEGAL NOTICE

HackGPT Enterprise is designed for authorized security testing only:

✅ Authorized Use: Only use against systems you own or have explicit written permission
✅ Compliance: Follow all applicable laws, regulations, and industry standards
✅ Responsible Disclosure: Report vulnerabilities through proper channels
✅ Documentation: Maintain audit trails and documentation
❌ Unauthorized Use: Never use against systems without permission
❌ Malicious Activity: Not for criminal or malicious purposes

The developers and contributors are not liable for misuse of this platform.