🚀 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]

Loading

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: yashabalam707@gmail.com
• Technical Issues: https://github.com/yashab-cyber/HackGPT/issues
• Feature Requests: https://github.com/yashab-cyber/HackGPT/discussions
• Security Issues: yashabalam707@gmail.com
• 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: yashabalam707@gmail.com
• Email: yashabalam707@gmail.com

📄 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.

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🔗 Connect with ZehraSec & Yashab Alam