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name: implementing-vulnerability-management-with-greenbone description: Deploy and operate Greenbone/OpenVAS vulnerability management using the python-gvm library to create scan targets, execute vulnerability scans, and parse scan reports via GMP protocol. domain: cybersecurity subdomain: vulnerability-management tags: [openvas, greenbone, vulnerability-scanning, gmp, python-gvm, vulnerability-management, compliance] version: "1.0" author: mahipal license: Apache-2.0

Implementing Vulnerability Management with Greenbone

Overview

Greenbone Vulnerability Management (GVM) is the open-source framework behind OpenVAS, providing comprehensive vulnerability scanning with over 100,000 Network Vulnerability Tests (NVTs). The python-gvm library provides a Python API to interact with GVM through the Greenbone Management Protocol (GMP), enabling programmatic creation of scan targets, task management, scan execution, and report retrieval. This skill covers connecting to GVM via Unix socket or TLS, authenticating, creating scan configs and targets, launching scans, and parsing XML-based vulnerability reports to produce actionable findings.

Prerequisites

• Greenbone Community Edition or Greenbone Enterprise Appliance installed
• Python 3.9+ with python-gvm (pip install python-gvm)
• GMP access credentials (username/password)
• Network connectivity to GVM daemon (Unix socket or TCP/TLS)
• Understanding of CVSS scoring and vulnerability classification

Steps

1. Install python-gvm: pip install python-gvm
2. Establish a GMP connection via UnixSocketConnection or TLSConnection
3. Authenticate with gmp.authenticate(username, password)
4. Create a target with gmp.create_target(name, hosts=[...], port_list_id=...)
5. Create a scan task with gmp.create_task(name, config_id, target_id, scanner_id)
6. Start the scan with gmp.start_task(task_id)
7. Monitor scan progress with gmp.get_task(task_id)
8. Retrieve results with gmp.get_report(report_id, report_format_id=...)
9. Parse the XML report for vulnerabilities, CVSS scores, and affected hosts
10. Generate a JSON summary report with severity distribution and remediation priorities

Expected Output

A JSON report containing total vulnerabilities found, severity breakdown (critical/high/medium/low), per-host findings with CVE references and CVSS scores, and scan metadata including duration and NVT feed version.