🛡️ CyberRecon AI

Enterprise Website Security Assessment Toolkit
Automated Reconnaissance • Vulnerability Intelligence • Risk Analysis • Professional Reporting

CyberRecon AI is an enterprise-inspired security assessment framework built in Python for authorized defensive security assessments.

It automates target reconnaissance, security intelligence collection, vulnerability correlation, security risk analysis and generates professional HTML, JSON and PDF security assessment reports.

📖 Table of Contents

Overview
Key Features
Architecture
Workflow
Installation
Usage
Reports
Project Structure
Modules
Technologies
Security Coverage
Roadmap
Contributing
Disclaimer
License
Author

🚀 Overview

CyberRecon AI is a modular Python framework designed to automate web security reconnaissance and security intelligence gathering.

The project combines multiple reconnaissance and security assessment techniques into a single enterprise-style workflow.

Unlike traditional scripts that only scan ports or retrieve WHOIS information, CyberRecon AI correlates collected information into meaningful security findings and generates professional assessment reports.

✨ Key Features

🌐 Target Intelligence

Target Validation
Domain Resolution
WHOIS Lookup
DNS Enumeration
Subdomain Enumeration

🔒 Security Assessment

SSL/TLS Certificate Analysis
HTTP Security Header Analysis
robots.txt Analysis
TCP Port Scanning
Service Detection
Technology Fingerprinting

🧠 Vulnerability Intelligence

NVD Integration
CPE Mapping
CVE Correlation
CVSS Extraction
Vulnerability Intelligence Engine

📊 Risk Analysis

Enterprise Risk Engine
Security Score Calculation
Risk Classification
Security Findings
Executive Summary

📄 Professional Reporting

CyberRecon AI automatically generates:

HTML Security Report
JSON Report
Enterprise PDF Report

Each report includes:

Scan Metadata
Scan ID
Scan Duration
Target Information
Findings
Risk Score
Recommendations

⚡ Enterprise Features

Modular Architecture
Enterprise Logging
Concurrent Processing
Intelligent Cache Manager
Rich Terminal Dashboard
Type Safety (mypy)
Clean Python Codebase
Production Ready Structure

🏗 Architecture

                    User

                      │

                      ▼

             Target Analysis

                      │

      ┌───────────────┼───────────────┐

      ▼               ▼               ▼

   WHOIS            DNS            SSL/TLS

      │               │               │

      └───────────────┼───────────────┘

                      ▼

         HTTP Header Analysis

                      ▼

        Technology Detection

                      ▼

       Vulnerability Intelligence

                      ▼

             Security Risk Engine

                      ▼

       HTML │ JSON │ PDF Reports

🔄 Assessment Workflow

Validate Target
      │
      ▼
WHOIS Lookup
      │
      ▼
DNS Enumeration
      │
      ▼
SSL/TLS Inspection
      │
      ▼
HTTP Header Analysis
      │
      ▼
Technology Detection
      │
      ▼
Port & Service Scan
      │
      ▼
robots.txt Analysis
      │
      ▼
Vulnerability Intelligence
      │
      ▼
Risk Engine
      │
      ▼
Professional Report Generation

📸 Project Preview

🖥️ Enterprise Terminal Dashboard

🛡️ Security Risk Assessment

📑 Professional Reports

🌟 Highlights

Enterprise-inspired architecture
Rich terminal interface
Professional reporting system
Concurrent execution engine
Modular Python design
Security intelligence correlation
Vulnerability analysis
Risk-based assessment
Clean code with type hints
100% mypy clean
Defensive security focused
Portfolio-ready cybersecurity project

⚙️ Requirements

CyberRecon AI has been tested on modern Windows and Linux environments.

Requirement	Version
Python	3.12+
Operating System	Windows / Linux
Internet Connection	Required
Git	Recommended

📦 Installation

1️⃣ Clone the Repository

git clone https://github.com/jayitape/CyberReconAI.git

cd CyberReconAI

2️⃣ Create a Virtual Environment

Windows

python -m venv venv

Activate:

venv\Scripts\activate

Linux

python3 -m venv venv

Activate:

source venv/bin/activate

3️⃣ Install Dependencies

pip install -r requirements.txt

4️⃣ Verify Installation

python main.py --help

If everything is installed correctly, CyberRecon AI will display the available command-line options.

🚀 Usage

Basic Scan

python main.py --url google.com

Scan Any Website

python main.py --url example.com

Example

python main.py --url openai.com

🖥 Example Terminal Output

CyberRecon AI Enterprise Edition

✓ Target Validation
✓ WHOIS Lookup
✓ DNS Enumeration
✓ SSL/TLS Analysis
✓ HTTP Security Headers
✓ Technology Detection
✓ Port Scan
✓ Vulnerability Intelligence
✓ Risk Assessment

Security Score : 91/100
Risk Level     : LOW

Reports Generated Successfully

📄 Generated Reports

CyberRecon AI automatically generates professional reports after every successful assessment.

🌐 HTML Report

The HTML report provides an interactive security assessment suitable for browsers.

Includes:

Executive Summary
Target Information
WHOIS Information
DNS Records
SSL/TLS Analysis
HTTP Security Headers
Technology Detection
Port Scan Results
Service Detection
Vulnerability Intelligence
Risk Assessment
Security Recommendations

📑 JSON Report

The JSON report is intended for automation and integrations.

Includes:

Scan Metadata
Scan ID
Timestamp
Target Information
Security Findings
Risk Score
Vulnerability Intelligence
Scan Duration

📕 PDF Report

Professional assessment document generated automatically.

Contains:

Executive Summary
Security Score
Risk Level
Technical Findings
Recommendations
Assessment Details

📊 Report Features

Report	Supported
HTML Report	✅
JSON Report	✅
PDF Report	✅
Executive Summary	✅
Scan Metadata	✅
Security Findings	✅
Risk Score	✅
Recommendations	✅

📂 Project Structure

CyberReconAI/
│
├── cache/
│   └── nvd_cache.json
│
├── config/
│   └── config.yaml
│
├── modules/
│   ├── banner.py
│   ├── cache_manager.py
│   ├── cli.py
│   ├── concurrent.py
│   ├── concurrent_scanner.py
│   ├── cpe_mapper.py
│   ├── cve_parser.py
│   ├── dns_lookup.py
│   ├── http_headers.py
│   ├── json_report.py
│   ├── logger.py
│   ├── nvd_client.py
│   ├── pdf_generator.py
│   ├── port_scanner.py
│   ├── report_generator.py
│   ├── risk_engine.py
│   ├── robots_analyzer.py
│   ├── scan_id.py
│   ├── scan_timer.py
│   ├── service_detector.py
│   ├── ssl_checker.py
│   ├── subdomain_enum.py
│   ├── target.py
│   ├── technology_detector.py
│   ├── ui.py
│   ├── version.py
│   ├── vulnerability_intel.py
│   ├── vulnerability_intelligence.py
│   └── whois_lookup.py
│
├── reports/
├── tests/
├── output/
├── assets/
│
├── main.py
├── requirements.txt
├── README.md
├── LICENSE
└── CHANGELOG.md

📁 Output Directory

After every scan, CyberRecon AI stores generated reports inside the reports/ directory.

Example:

reports/

google_com_report.html

google_com_report.json

google_com_report.pdf

📌 Scan Metadata

Each assessment includes:

Scan ID
Timestamp
Target
Scan Duration
Risk Score
Risk Level
Findings
Report Generation Status

🧩 Modules Overview

Module	Purpose
`banner.py`	Startup banner
`cli.py`	Command-line argument handling
`target.py`	Target validation
`whois_lookup.py`	WHOIS intelligence
`dns_lookup.py`	DNS enumeration
`ssl_checker.py`	SSL/TLS certificate analysis
`http_headers.py`	HTTP security header analysis
`technology_detector.py`	Technology fingerprinting
`subdomain_enum.py`	Subdomain discovery
`port_scanner.py`	TCP port scanning
`service_detector.py`	Service detection
`robots_analyzer.py`	robots.txt analysis
`nvd_client.py`	National Vulnerability Database integration
`vulnerability_intelligence.py`	Vulnerability intelligence engine
`risk_engine.py`	Security risk scoring
`report_generator.py`	HTML report generation
`json_report.py`	JSON report generation
`pdf_generator.py`	PDF report generation
`cache_manager.py`	Cache management
`logger.py`	Logging framework
`ui.py`	Rich terminal interface
`version.py`	Version information

📈 Current Project Status

Component	Status
Target Analysis	✅ Complete
WHOIS Lookup	✅ Complete
DNS Enumeration	✅ Complete
SSL/TLS Analysis	✅ Complete
HTTP Header Analysis	✅ Complete
Technology Detection	✅ Complete
Subdomain Enumeration	✅ Complete
Port Scanner	✅ Complete
Service Detection	✅ Complete
robots.txt Analyzer	✅ Complete
Vulnerability Intelligence	✅ Complete
NVD Integration	✅ Complete
Risk Engine	✅ Complete
HTML Report Generator	✅ Complete
JSON Report Generator	✅ Complete
PDF Report Generator	✅ Complete
Enterprise Rich Dashboard	✅ Complete
Concurrent Processing	✅ Complete
Intelligent Cache Manager	✅ Complete
100% mypy Clean	✅ Complete

🚀 Roadmap

✅ Version 1.1.0 (Current)

Enterprise Rich Terminal Dashboard
Concurrent Scan Framework
Risk Engine
Professional HTML Reports
JSON Reports
PDF Reports
Vulnerability Intelligence
NVD Integration
Intelligent Cache Manager
Enterprise Logging
Type Hardening
100% mypy Clean

🔜 Version 1.2.0

Planned improvements:

EPSS Integration
CISA KEV Integration
ExploitDB Intelligence
AI Risk Correlation
Better Technology Fingerprinting
Improved Service Detection
Smarter Vulnerability Prioritization
Additional Security Checks

⚡ Performance

CyberRecon AI is optimized using:

⚡ Concurrent execution
⚡ Intelligent caching
⚡ Modular architecture
⚡ Reduced external API requests
⚡ Clean error handling
⚡ Enterprise logging
⚡ Type-safe Python development

🤝 Contributing

Contributions are welcome.

Please ensure that:

Code follows the existing project architecture.
Type hints are included.
mypy passes successfully.
Documentation is updated.
New modules follow enterprise coding standards.

📜 License

This project is licensed under the MIT License.

See the LICENSE file for more information.

👨‍💻 Author

Jay Itape

Electronics & Telecommunication Engineering Student

Cybersecurity Enthusiast

CEH Candidate

Connect with me

GitHub: https://github.com/jayitape

⚠️ Legal Disclaimer

CyberRecon AI is developed solely for:

Authorized Defensive Security Assessments
Security Research
Educational Purposes

Unauthorized scanning of systems without explicit permission may violate applicable laws.

The author assumes no responsibility for misuse of this software.

🛡️ CyberRecon AI

Enterprise Website Security Assessment Toolkit

Version 1.1.0

Developed with ❤️ using Python

Name		Name	Last commit message	Last commit date
Latest commit History 27 Commits
assets		assets
config		config
modules		modules
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
main.py		main.py
main_backup_v1.0.10.py		main_backup_v1.0.10.py
mypy.ini		mypy.ini
requirements-dev.txt		requirements-dev.txt
requirements.txt		requirements.txt
test_cache_manager.py		test_cache_manager.py
test_concurrent.py		test_concurrent.py
test_cpe.py		test_cpe.py
test_cve_parser.py		test_cve_parser.py
test_nvd.py		test_nvd.py
test_pdf.py		test_pdf.py
test_product_details.py		test_product_details.py
test_vulnerability_intel.py		test_vulnerability_intel.py

Folders and files

Latest commit

History

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🛡️ CyberRecon AI

📖 Table of Contents

🚀 Overview

✨ Key Features

🌐 Target Intelligence

🔒 Security Assessment

🧠 Vulnerability Intelligence

📊 Risk Analysis

📄 Professional Reporting

⚡ Enterprise Features

🏗 Architecture

🔄 Assessment Workflow

📸 Project Preview

🖥️ Enterprise Terminal Dashboard

🛡️ Security Risk Assessment

📑 Professional Reports

🌟 Highlights

⚙️ Requirements

📦 Installation

1️⃣ Clone the Repository

2️⃣ Create a Virtual Environment

Windows

Linux

3️⃣ Install Dependencies

4️⃣ Verify Installation

🚀 Usage

Basic Scan

Scan Any Website

Example

🖥 Example Terminal Output

📄 Generated Reports

🌐 HTML Report

📑 JSON Report

📕 PDF Report

📊 Report Features

📂 Project Structure

📁 Output Directory

📌 Scan Metadata

🧩 Modules Overview

📈 Current Project Status

🚀 Roadmap

✅ Version 1.1.0 (Current)

🔜 Version 1.2.0

⚡ Performance

🤝 Contributing

📜 License

👨‍💻 Author

Jay Itape

Connect with me

⚠️ Legal Disclaimer

🛡️ CyberRecon AI

Enterprise Website Security Assessment Toolkit

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