Skill

implementing-vulnerability-management-with-greenbone

Deploys and operates Greenbone/OpenVAS vulnerability scanning using python-gvm to create targets, run scans via GMP, and parse reports into JSON with CVSS severity breakdowns.

Python

security

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Tool Access

This skill uses the workspace's default tool permissions.

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Supporting Assets

LICENSEreferences/api-reference.mdscripts/agent.py

SKILL.md

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Last CommitApr 6, 2026

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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.

When to Use

When deploying or configuring implementing vulnerability management with greenbone capabilities in your environment
When establishing security controls aligned to compliance requirements
When building or improving security architecture for this domain
When conducting security assessments that require this implementation

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

Install python-gvm: pip install python-gvm
Establish a GMP connection via UnixSocketConnection or TLSConnection
Authenticate with gmp.authenticate(username, password)
Create a target with gmp.create_target(name, hosts=[...], port_list_id=...)
Create a scan task with gmp.create_task(name, config_id, target_id, scanner_id)
Start the scan with gmp.start_task(task_id)
Monitor scan progress with gmp.get_task(task_id)
Retrieve results with gmp.get_report(report_id, report_format_id=...)
Parse the XML report for vulnerabilities, CVSS scores, and affected hosts
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.