implementing-vulnerability-management-with-greenbone
About implementing-vulnerability-management-with-greenbone
A procedural skill for using python-gvm to manage Greenbone Vulnerability Management scans. It guides security practitioners through connection, scan execution, and XML report analysis.
Key features
- 01Connect to GVM over Unix socket or TLS
- 02Create targets and scan tasks
- 03Launch and monitor scans
- 04Retrieve and parse XML reports
- 05Summarize findings by severity and host
Use cases
- 01Automate vulnerability scans with python-gvm
- 02Review host findings and CVSS scores
- 03Prepare remediation priorities from scan reports
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ mukul975/ anthropic-cybersecurity-skills --skill implementing-vulnerability-management-with-greenboneAfter installing, type/implementing-vulnerability-management-with-greenbonein Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
LICENSEreferences/api-reference.mdscripts/agent.pyDetails
From the project READMEImplementing 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
UnixSocketConnectionorTLSConnection - 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.