技能 编程开发 使用Greenbone进行漏洞管理与扫描

使用Greenbone进行漏洞管理与扫描

v20260601
implementing-vulnerability-management-with-greenbone
本技能旨在利用python-gvm库,实现Greenbone/OpenVAS的自动化漏洞管理。用户可以编程创建扫描目标、执行漏洞扫描、监控扫描过程,并解析复杂的XML报告。最终输出结构化的JSON报告,用于安全评估和合规性检查,从而建立完整的安全检测流程。
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概览

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

  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.

信息
Category 编程开发
Name implementing-vulnerability-management-with-greenbone
版本 v20260601
大小 9.13KB
更新时间 2026-06-03
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