Reconborne

Reconborne is an advanced, AI-driven reconnaissance tool designed for cybersecurity professionals. It leverages the power of the Gemini API to perform comprehensive reconnaissance tasks, including technology stack detection, SSL/TLS certificate analysis, subdomain enumeration, and vulnerability correlation. With a focus on usability, performance, and detailed reporting, Reconborne streamlines security assessments and penetration testing workflows.

Table of Contents

• Demo
• Features
• Installation
  • Option 1: Docker
  • Option 2: Local Installation
• Usage
• Configuration
• Dependencies
• Output
• Contributing
• License
• Contact

Demo

Below are screenshots showcasing Reconborne in action. These demonstrate the tool's user interface, scan progress, and sample output reports.

• Video Demo:

0812.2.mp4

• Initiation: Starting a scan with the command-line interface.
• Progress Output: Real-time progress tracking with the rich console interface.
• Sample Report: Example markdown report generated after a scan.

Features

• Technology Stack Detection: Identifies CMS, frameworks, servers, programming languages, databases, and security tools using Wappalyzer, BuiltWith, and custom fingerprinting.
• SSL/TLS Certificate Analysis: Evaluates certificate details, security posture, vulnerabilities, and trust levels.
• Subdomain Enumeration: Discovers subdomains using DNS resolution techniques.
• Port Scanning: Performs enhanced Nmap scans to identify open ports, services, and operating systems.
• Passive Network Analysis: Conducts passive traffic analysis with tools like Tshark (optional).
• Vulnerability Correlation: Maps detected technologies and open ports to known vulnerabilities.
• AI-Powered Reporting: Generates detailed markdown reports using the Gemini API, with fallback reporting for non-AI environments.
• Customizable Configuration: Supports YAML-based configuration for timeouts, threads, and API keys.
• Rich Console Interface: Provides a modern, user-friendly interface with progress tracking and colored output.

Installation

🚀 Install & Use Reconborne – From Zero to Report

Reconborne can be installed using one of two methods: Docker for a quick, containerized setup, or a local installation for full control over the environment.

Option 1: Docker

This option allows you to run Reconborne without installing dependencies locally, using a pre-built Docker image.

1. Ensure Docker is Installed

   • Install Docker on your system: Docker Installation Guide.

2. Run Reconborne with Docker

   docker run --rm -it \
     -e GEMINI_API_KEY=YOUR_REAL_KEY_HERE \
     ghcr.io/vylarion/reconborne:latest \
     example.com

   • Replace YOUR_REAL_KEY_HERE with your Gemini API key.
   • Optionally, add Shodan and VirusTotal API keys via environment variables:

     -e SHODAN_API_KEY=YOUR_SHODAN_KEY \
     -e VIRUSTOTAL_API_KEY=YOUR_VT_KEY

3. View the Report The report will be generated in the container and saved as <target>-report.md. To access it, mount a local directory:

   docker run --rm -it \
     -e GEMINI_API_KEY=YOUR_REAL_KEY_HERE \
     -v $(pwd)/reports:/app/reports \
     ghcr.io/vylarion/reconborne:latest \
     example.com -o /app/reports/report.md

   Then open the report:

   code reports/report.md   # VS Code
   # or
   open reports/report.md   # macOS

Option 2: Local Installation

This option provides full control over the environment and is ideal for advanced users or those integrating Reconborne into existing workflows.

1. Clone the Repository

   git clone https://github.com/vylarion/reconborne.git
   cd reconborne

2. Install System Dependencies

   OS	Command
   Ubuntu / Debian / Kali	sudo apt update && sudo apt install -y nmap tshark recon-ng
   macOS (Homebrew)	brew install nmap wireshark-cli recon-ng
   Windows (choco)	choco install nmap wireshark-cli

3. Install Python Packages

   python3 -m venv venv
   source venv/bin/activate  # Windows: venv\Scripts\activate
   pip install -r requirements.txt

4. Set Your API Key Create a .env file in the project folder:

   echo "GEMINI_API_KEY=YOUR_REAL_KEY_HERE" > .env

   Optionally, add Shodan and VirusTotal API keys:

   echo "SHODAN_API_KEY=YOUR_SHODAN_KEY" >> .env
   echo "VIRUSTOTAL_API_KEY=YOUR_VT_KEY" >> .env

5. Verify Installation Run the tool with the help command to ensure it’s set up correctly:

   python3 reconborne.py --help

Usage

Reconborne is a command-line tool with flexible options for scanning and reporting. Below are some example commands:

Goal	Command
Quick scan	python3 reconborne.py example.com --quick
Deep scan	python3 reconborne.py example.com
Custom output	python3 reconborne.py 192.168.1.1 -o report.md

Options

• -o, --output <file>: Specify output file for the report (default: <target>-report.md).
• -t, --timeout <seconds>: Set scan timeout.
• --threads <number>: Set number of concurrent threads.
• --no-passive: Skip passive network analysis.
• -q, --quick: Run in quick scan mode (faster but less thorough).
• -v, --verbose: Enable verbose output.
• -h, --help: Show help message.

View the Report

After running a scan, open the generated markdown file:

code example.com-report.md   # VS Code
# or
open example.com-report.md   # macOS

Configuration

Reconborne uses a reconborne_config.yaml file for customization. If not present, a default configuration is created automatically. Key configuration options include:

• Timeouts: HTTP requests, SSL connections, subprocesses, DNS lookups.
• Scan Options: Thread count, Nmap timing, passive scan settings.
• API Keys: Gemini, Shodan, and VirusTotal API keys.
• Output Settings: Enable/disable raw data saving, PDF generation, and screenshots.

Example reconborne_config.yaml:

timeouts:
  http_request: 10
  ssl_connection: 10
  subprocess: 60
  dns_lookup: 5
scan_options:
  max_threads: 10
  nmap_timing: T4
  enable_passive_scan: true
  passive_duration: 30
api_keys:
  gemini_api_key: null
  shodan_api_key: null
  virustotal_api_key: null
output:
  save_raw_data: true
  generate_pdf: false
  include_screenshots: false

Dependencies

Required Python packages (listed in requirements.txt):

• click
• requests
• pyyaml
• rich
• pyfiglet
• colorama
• google-generativeai
• pandas
• dnspython (optional, for subdomain enumeration)
• builtwith (optional, for tech stack detection)
• Wappalyzer (optional, for advanced tech stack detection)

System dependencies:

• nmap: For port scanning.
• tshark (or wireshark-cli): For passive network analysis.
• recon-ng: For enhanced reconnaissance capabilities.

Output

Reconborne generates a detailed markdown report summarizing findings, including:

• Open ports and services.
• Detected technologies and JavaScript libraries.
• SSL/TLS certificate details and vulnerabilities.
• Subdomains and passive network analysis results.
• Correlated vulnerabilities with severity levels.

Reports are saved to the specified output file or <target>-report.md by default.

Contributing

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create a feature branch (git checkout -b feature/your-feature).
3. Commit your changes (git commit -m "Add your feature").
4. Push to the branch (git push origin feature/your-feature).
5. Open a pull request.

Please ensure your code follows PEP 8 and includes appropriate tests.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

• Author: Vylarion
• GitHub: vylarion
• Issues: Report bugs or suggest features via GitHub Issues