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公明
383 lines
8.1 KiB
Markdown
383 lines
8.1 KiB
Markdown
---
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name: security-automation
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description: 安全自动化的专业技能和方法论
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version: 1.0.0
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---
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# 安全自动化
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## 概述
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安全自动化是提高安全运营效率的重要手段。本技能提供安全自动化的方法、工具和最佳实践。
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## 自动化场景
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### 1. 漏洞扫描
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**自动化扫描：**
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- 定期扫描
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- CI/CD集成
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- 结果分析
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- 报告生成
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### 2. 安全测试
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**自动化测试：**
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- 单元测试
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- 集成测试
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- 安全测试
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- 回归测试
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### 3. 事件响应
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**自动化响应：**
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- 事件检测
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- 自动遏制
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- 通知告警
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- 证据收集
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### 4. 合规检查
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**自动化合规：**
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- 配置检查
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- 策略验证
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- 报告生成
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- 修复建议
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## 工具和框架
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### 漏洞扫描自动化
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**使用Nessus API：**
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```python
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import requests
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# 创建扫描
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def create_scan(target, scan_name):
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url = "https://nessus:8834/scans"
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headers = {"X-ApiKeys": "access_key:secret_key"}
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data = {
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"uuid": "template-uuid",
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"settings": {
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"name": scan_name,
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"text_targets": target
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}
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}
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response = requests.post(url, json=data, headers=headers)
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return response.json()
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# 启动扫描
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def launch_scan(scan_id):
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url = f"https://nessus:8834/scans/{scan_id}/launch"
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headers = {"X-ApiKeys": "access_key:secret_key"}
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response = requests.post(url, headers=headers)
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return response.json()
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```
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**使用OpenVAS API：**
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```python
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from gvm.connections import UnixSocketConnection
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from gvm.protocols.gmp import Gmp
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# 连接OpenVAS
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connection = UnixSocketConnection()
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gmp = Gmp(connection)
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gmp.authenticate('username', 'password')
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# 创建扫描任务
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target = gmp.create_target(name='target', hosts=['192.168.1.0/24'])
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config = gmp.get_configs()[0]
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scanner = gmp.get_scanners()[0]
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task = gmp.create_task(
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name='scan_task',
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config_id=config['id'],
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target_id=target['id'],
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scanner_id=scanner['id']
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)
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# 启动扫描
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gmp.start_task(task['id'])
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```
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### CI/CD集成
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**Jenkins Pipeline：**
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```groovy
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pipeline {
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agent any
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stages {
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stage('Security Scan') {
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steps {
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sh 'npm audit'
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sh 'snyk test'
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sh 'sonar-scanner'
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}
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}
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stage('Vulnerability Scan') {
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steps {
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sh 'nmap --script vuln target'
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}
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}
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}
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post {
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always {
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publishHTML([
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reportDir: 'reports',
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reportFiles: 'report.html',
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reportName: 'Security Report'
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])
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}
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}
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}
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```
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**GitHub Actions：**
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```yaml
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name: Security Scan
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on: [push, pull_request]
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jobs:
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security-scan:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- name: Run Snyk
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uses: snyk/actions/node@master
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env:
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SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
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- name: Run SonarQube
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uses: sonarsource/sonarqube-scan-action@master
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env:
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SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}
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```
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### 安全测试自动化
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**使用OWASP ZAP：**
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```python
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from zapv2 import ZAPv2
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# 启动ZAP
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zap = ZAPv2(proxies={'http': 'http://127.0.0.1:8080'})
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# 开始扫描
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zap.urlopen('http://target.com')
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zap.spider.scan('http://target.com')
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while int(zap.spider.status()) < 100:
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time.sleep(1)
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# 主动扫描
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zap.ascan.scan('http://target.com')
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while int(zap.ascan.status()) < 100:
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time.sleep(1)
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# 获取结果
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alerts = zap.core.alerts()
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```
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**使用Burp Suite：**
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```python
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from burp import IBurpExtender, IScannerCheck
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class BurpExtender(IBurpExtender, IScannerCheck):
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def registerExtenderCallbacks(self, callbacks):
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self._callbacks = callbacks
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self._helpers = callbacks.getHelpers()
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callbacks.setExtensionName("Security Automation")
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callbacks.registerScannerCheck(self)
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def doPassiveScan(self, baseRequestResponse):
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# 被动扫描逻辑
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return None
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def doActiveScan(self, baseRequestResponse, insertionPoint):
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# 主动扫描逻辑
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return None
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```
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### 事件响应自动化
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**使用Splunk：**
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```python
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import splunklib.client as client
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# 连接Splunk
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service = client.connect(
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host='splunk.example.com',
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port=8089,
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username='admin',
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password='password'
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)
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# 搜索安全事件
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search_query = 'index=security event_type="malware"'
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kwargs = {"earliest_time": "-1h", "latest_time": "now"}
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search = service.jobs.create(search_query, **kwargs)
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# 处理结果
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for result in search:
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if result['severity'] == 'high':
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# 自动响应
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send_alert(result)
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isolate_system(result['host'])
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```
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**使用ELK Stack：**
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```python
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from elasticsearch import Elasticsearch
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# 连接Elasticsearch
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es = Elasticsearch(['localhost:9200'])
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# 搜索安全事件
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query = {
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"query": {
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"match": {
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"event_type": "intrusion"
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}
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}
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}
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results = es.search(index="security", body=query)
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# 自动响应
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for hit in results['hits']['hits']:
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if hit['_source']['severity'] == 'critical':
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# 自动遏制
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block_ip(hit['_source']['src_ip'])
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send_alert(hit['_source'])
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```
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## 自动化脚本
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### 漏洞扫描脚本
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```python
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#!/usr/bin/env python3
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import subprocess
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import json
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import smtplib
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from email.mime.text import MIMEText
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def run_nmap_scan(target):
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"""运行Nmap扫描"""
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result = subprocess.run(
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['nmap', '--script', 'vuln', '-oJ', '-', target],
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capture_output=True,
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text=True
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)
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return json.loads(result.stdout)
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def analyze_results(results):
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"""分析扫描结果"""
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vulnerabilities = []
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for host in results.get('hosts', []):
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for port in host.get('ports', []):
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for script in port.get('scripts', []):
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if script.get('id') == 'vuln':
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vulnerabilities.append({
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'host': host['address'],
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'port': port['portid'],
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'vuln': script.get('output', '')
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})
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return vulnerabilities
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def send_report(vulnerabilities):
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"""发送报告"""
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if vulnerabilities:
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msg = MIMEText(f"发现 {len(vulnerabilities)} 个漏洞")
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msg['Subject'] = '漏洞扫描报告'
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msg['From'] = 'security@example.com'
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msg['To'] = 'admin@example.com'
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server = smtplib.SMTP('smtp.example.com')
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server.send_message(msg)
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server.quit()
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if __name__ == '__main__':
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target = '192.168.1.0/24'
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results = run_nmap_scan(target)
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vulnerabilities = analyze_results(results)
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send_report(vulnerabilities)
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```
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### 配置检查脚本
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```python
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#!/usr/bin/env python3
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import boto3
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import json
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def check_s3_buckets():
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"""检查S3存储桶安全配置"""
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s3 = boto3.client('s3')
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buckets = s3.list_buckets()
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issues = []
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for bucket in buckets['Buckets']:
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# 检查公开访问
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try:
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acl = s3.get_bucket_acl(Bucket=bucket['Name'])
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for grant in acl.get('Grants', []):
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if grant.get('Grantee', {}).get('URI') == 'http://acs.amazonaws.com/groups/global/AllUsers':
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issues.append({
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'bucket': bucket['Name'],
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'issue': 'Public access enabled'
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})
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except:
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pass
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# 检查加密
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try:
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encryption = s3.get_bucket_encryption(Bucket=bucket['Name'])
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except:
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issues.append({
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'bucket': bucket['Name'],
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'issue': 'Encryption not enabled'
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})
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return issues
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if __name__ == '__main__':
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issues = check_s3_buckets()
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print(json.dumps(issues, indent=2))
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```
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## 最佳实践
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### 1. 自动化策略
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- 识别可自动化场景
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- 制定自动化计划
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- 逐步实施
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- 持续改进
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### 2. 工具选择
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- 评估工具功能
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- 考虑集成性
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- 考虑成本
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- 测试验证
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### 3. 流程设计
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- 明确流程步骤
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- 定义触发条件
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- 设置异常处理
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- 记录操作日志
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### 4. 监控和维护
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- 监控自动化任务
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- 定期检查结果
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- 更新规则和脚本
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- 优化性能
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## 注意事项
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- 确保自动化准确性
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- 设置适当的权限
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- 保护自动化凭证
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- 定期审查自动化规则 |