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Jose E. Rodriguez 47f9a67676 Update 'README.md' 1 mēnesi atpakaļ
README.md Update 'README.md' 1 mēnesi atpakaļ

README.md

Network_Scanner_Low_cost

This project automates network discovery, port scanning, target creation, task management, and report generation using OpenVAS and Python scripts. It also includes a web application for visualizing reports and provides instructions for accessing OpenVAS via the web interface and API.


Prerequisites

1. Install Dependencies

Required Software

  • Nmap: A network discovery and scanning tool. bash sudo apt install nmap # For Ubuntu/Debian brew install nmap # For MacOS
  • Docker: Used to run OpenVAS as a containerized service.
    • Install Docker: Docker Installation Guide
    • Install Docker Compose: bash sudo apt install docker-compose # Ubuntu/Debian brew install docker-compose # MacOS

Python Libraries

Install the required Python libraries:

pip install pandas dash plotly gvm-tools psutil nmap

Project Setup

1. Setup OpenVAS with Docker

  1. Navigate to the docker directory: bash cd docker
  2. Build the OpenVAS Docker container: bash docker compose build
  3. Start the OpenVAS container: bash docker compose up -d
  4. Wait 30 minutes for OpenVAS to complete its database setup and updates.

Accessing OpenVAS

Web Interface

  1. Open a browser and go to https://localhost:9392 (or replace localhost with your server’s IP address).
  2. Log in using the default credentials:
    • Username: admin
    • Password: admin (or the password you set during installation).

Using the OpenVAS API

  1. The OpenVAS API listens on port 9390 (default).
  2. Use tools like gvm-cli or Python’s gvm-tools library to interact with the API.

Scripts Workflow

Run the scripts in the following order:

Step 1: Network Discovery

Run networkdiscovery.py to identify active hosts on the network:

sudo python networkdiscovery.py

This script:

  • Uses Nmap to discover active hosts in your local network.
  • Generates a CSV file named active_hosts.csv containing the discovered hosts.

Step 2: Port Scanning

Run portscanner.py to scan open ports on the discovered hosts:

sudo python portscanner.py

This script:

  • Reads the active_hosts.csv file.
  • Scans the specified ports for each host.
  • Outputs results in ports.csv.

Step 3: Create Targets in OpenVAS

Run createtargets.py to create OpenVAS targets for each active host:

python createtargets.py

This script:

  • Reads the active_hosts.csv file.
  • Creates targets in OpenVAS for each discovered host.
  • Outputs target IDs in target_id.csv.

Step 4: Create Tasks in OpenVAS

Run taskmaker.py to create OpenVAS tasks for each target:

python taskmaker.py

This script:

  • Reads target_id.csv.
  • Creates OpenVAS tasks using the “Full and Fast” scan configuration.
  • Outputs task IDs in task_id.csv.

Step 5: Start Tasks in OpenVAS

Run starttask.py to start all the created OpenVAS tasks:

python starttask.py

This script:

  • Reads task_id.csv.
  • Starts each task in OpenVAS.

Step 6: Generate Reports

Run getreports.py to check task statuses and generate reports:

python getreports.py

This script:

  • Checks the status of each task in task_id.csv.
  • If a task is completed, generates a CSV report for the task.
  • Combines all reports into a single consolidated file: consolidated_reports.csv.

Step 7: Launch the Web Application

Run webapp.py to launch the web interface for visualizing reports:

python webapp.py

This script:

  • Starts a Dash web application.
  • Access the web application at http://127.0.0.1:8050 or replace 127.0.0.1 with your server’s IP address.
  • Visualize, filter, and analyze vulnerability data interactively.

File Outputs

Generated Files

  1. active_hosts.csv:

    • Hosts discovered by networkdiscovery.py.
    • Format: csv IP,Discovery Timestamp 192.168.0.1,2024-11-20 15:16:09
  2. ports.csv:

    • Open ports discovered by portscanner.py.
    • Format: csv IP,Port,Service 192.168.0.1,80,HTTP
  3. target_id.csv:

    • Target IDs created by createtargets.py.
    • Format: csv IP,Target ID 192.168.0.1,abc123
  4. task_id.csv:

    • Task IDs created by taskmaker.py.
    • Format: csv Target ID,Task ID abc123,task001
  5. task_reports.csv:

    • Reports generated by getreports.py.
    • Format: csv Task ID,Report File task001,report_task001.csv
  6. consolidated_reports.csv:

    • Combined report generated by getreports.py.
    • Format: csv Task ID,Host,Port,Vulnerability,Severity task001,192.168.0.1,80,Example Vulnerability,High

Usage Notes

  • The OpenVAS database setup might take up to 30 minutes after starting the Docker container.
  • Ensure task_id.csv exists before running starttask.py.
  • The getreports.py script might take time to execute, depending on the number of tasks and their completion status.

Troubleshooting

Docker Issues

  • If OpenVAS doesn’t start correctly, check Docker logs: bash docker logs <container_name>

OpenVAS Login Issues

  • Ensure OpenVAS is running and accessible on port 9392.

Network Discovery Errors

  • Ensure you have the necessary permissions to run Nmap with sudo.