AI目录扫描分析工具开发教学文档<\/h1>

1. 工具概述<\/h2>
本教学文档基于奇安信攻防社区分享的AI目录扫描分析工具开发经验，该工具结合了传统目录扫描工具dirsearch与AI分析能力，实现了更智能化的Web目录扫描功能。<\/p>

2. 开发环境准备<\/h2>

2.1 基础环境<\/h3>

操作系统<\/strong>: Linux\/Windows\/MacOS均可<\/li>
Python环境<\/strong>: Python 3.6+<\/li>
Go语言环境<\/strong>: Go 1.16+<\/li>

dirsearch工具<\/strong>: 需要预先下载并配置<\/li> <\/ul>
2.2 依赖安装<\/h3>
# Python依赖<\/span> <\/span><\/span>pip install requests numpy pandas <\/span><\/span> <\/span><\/span># Go依赖<\/span> <\/span><\/span>go get github.com\/spf13\/cobra <\/span><\/span>go get github.com\/common-nighthawk\/go-figure <\/span><\/span><\/code><\/pre>3. 核心功能实现<\/h2> 3.1 目录扫描模块<\/h3> \/\/ 构建扫描命令 <\/span><\/span><\/span><\/span>baseCmd<\/span> :=<\/span> []string<\/span>{ <\/span><\/span> "python3"<\/span>, \/\/ 注意这里使用python3而非python <\/span><\/span><\/span><\/span> ".\/dirsearch\/dirsearch.py"<\/span>, <\/span><\/span> "-u"<\/span>, target<\/span>, <\/span><\/span> "-e"<\/span>, extensions<\/span>, <\/span><\/span> "-w"<\/span>, wordlist<\/span>, <\/span><\/span> "-t"<\/span>, strconv<\/span>.Itoa<\/span>(threads<\/span>), <\/span><\/span> "--random-agent"<\/span>, <\/span><\/span> "--full-url"<\/span>, <\/span><\/span> "-o"<\/span>, outputFile<\/span>, <\/span><\/span>} <\/span><\/span><\/code><\/pre>关键点<\/strong>:<\/p> 必须使用python3<\/code>而非python<\/code>命令<\/li> 参数说明: -u<\/code>: 目标URL<\/li> -e<\/code>: 文件扩展名(如php,asp等)<\/li> -w<\/code>: 字典文件路径<\/li> -t<\/code>: 线程数<\/li> --random-agent<\/code>: 使用随机User-Agent<\/li> --full-url<\/code>: 输出完整URL<\/li> -o<\/code>: 输出文件路径<\/li> <\/ul> <\/li> <\/ul> 3.2 AI分析模块<\/h3> def<\/span> analyze_scan_results<\/span>(results): <\/span><\/span> """ <\/span><\/span><\/span> 分析扫描结果并给出风险评估 <\/span><\/span><\/span> """<\/span> <\/span><\/span> # 1. 结果预处理<\/span> <\/span><\/span> df =<\/span> preprocess_results(results) <\/span><\/span> <\/span><\/span> # 2. 特征提取<\/span> <\/span><\/span> features =<\/span> extract_features(df) <\/span><\/span> <\/span><\/span> # 3. 风险评估<\/span> <\/span><\/span> risk_scores =<\/span> calculate_risk(features) <\/span><\/span> <\/span><\/span> # 4. 生成报告<\/span> <\/span><\/span> generate_report(df, risk_scores) <\/span><\/span><\/code><\/pre>4. 工具架构设计<\/h2> 4.1 整体架构<\/h3> ├── main.go # 主入口 ├── cmd\/ # 命令行模块 │ ├── scan.go # 扫描命令 │ └── analyze.go # 分析命令 ├── pkg\/ │ ├── scanner\/ # 扫描器封装 │ └── analyzer\/ # 分析器封装 └── dirsearch\/ # dirsearch目录 <\/code><\/pre> 4.2 关键组件交互<\/h3> 用户通过CLI发起扫描请求<\/li> 主程序调用dirsearch进行扫描<\/li> 扫描结果传递给AI分析模块<\/li> AI模块生成风险评估报告<\/li> 结果返回给用户<\/li> <\/ol> 5. 开发注意事项<\/h2> 5.1 常见问题解决<\/h3> Python版本问题<\/strong>:<\/p> 确保使用python3<\/code>命令<\/li> 检查系统PATH配置<\/li> <\/ul> <\/li> dirsearch路径问题<\/strong>:<\/p> 确保dirsearch目录位于正确位置<\/li> 检查文件权限<\/li> <\/ul> <\/li> 并发控制<\/strong>:<\/p> 合理设置线程数<\/li> 添加延迟防止被封禁<\/li> <\/ul> <\/li> <\/ol> 5.2 性能优化建议<\/h3> 使用缓存机制存储历史扫描结果<\/li> 实现断点续扫功能<\/li> 对大型字典文件进行分块处理<\/li> <\/ul> 6. 扩展功能开发<\/h2> 6.1 自定义字典生成<\/h3> def<\/span> generate_custom_wordlist<\/span>(domain): <\/span><\/span> """ <\/span><\/span><\/span> 基于目标域名生成定制化字典 <\/span><\/span><\/span> """<\/span> <\/span><\/span> # 1. 提取域名特征<\/span> <\/span><\/span> keywords =<\/span> extract_domain_keywords(domain) <\/span><\/span> <\/span><\/span> # 2. 组合常见路径<\/span> <\/span><\/span> common_paths =<\/span> load_common_paths() <\/span><\/span> <\/span><\/span> # 3. 生成变体<\/span> <\/span><\/span> variants =<\/span> generate_variants(keywords) <\/span><\/span> <\/span><\/span> # 4. 保存字典<\/span> <\/span><\/span> save_wordlist(common_paths +<\/span> variants) <\/span><\/span><\/code><\/pre>6.2 智能结果过滤<\/h3> func<\/span> filterResults<\/span>(results<\/span> []ScanResult<\/span>) []ScanResult<\/span> { <\/span><\/span> \/\/ 1. 去除重复结果 <\/span><\/span><\/span><\/span> \/\/ 2. 过滤低风险条目 <\/span><\/span><\/span><\/span> \/\/ 3. 按风险等级排序 <\/span><\/span><\/span><\/span> \/\/ 4. 返回过滤后结果 <\/span><\/span><\/span><\/span>} <\/span><\/span><\/code><\/pre>7. 安全注意事项<\/h2> 法律合规<\/strong>:<\/p> 仅对授权目标进行扫描<\/li> 获取书面授权证明<\/li> <\/ul> <\/li> 扫描防护<\/strong>:<\/p> 添加速率限制<\/li> 实现自动封禁检测<\/li> 支持代理配置<\/li> <\/ul> <\/li> 数据安全<\/strong>:<\/p> 加密存储敏感扫描结果<\/li> 实现结果访问控制<\/li> <\/ul> <\/li> <\/ol> 8. 完整示例代码<\/h2> 8.1 Go主程序片段<\/h3> package<\/span> main<\/span> <\/span><\/span> <\/span><\/span>import<\/span> ( <\/span><\/span> "fmt"<\/span> <\/span><\/span> "os\/exec"<\/span> <\/span><\/span>) <\/span><\/span> <\/span><\/span>func<\/span> main<\/span>() { <\/span><\/span> target<\/span> :=<\/span> "http:\/\/example.com"<\/span> <\/span><\/span> cmd<\/span> :=<\/span> exec<\/span>.Command<\/span>("python3"<\/span>, ".\/dirsearch\/dirsearch.py"<\/span>, "-u"<\/span>, target<\/span>) <\/span><\/span> output<\/span>, err<\/span> :=<\/span> cmd<\/span>.CombinedOutput<\/span>() <\/span><\/span> if<\/span> err<\/span> !=<\/span> nil<\/span> { <\/span><\/span> fmt<\/span>.Printf<\/span>("扫描失败: %v\n"<\/span>, err<\/span>) <\/span><\/span> return<\/span> <\/span><\/span> } <\/span><\/span> fmt<\/span>.Println<\/span>(string(output<\/span>)) <\/span><\/span>} <\/span><\/span><\/code><\/pre>8.2 Python分析模块片段<\/h3> import<\/span> pandas as<\/span> pd <\/span><\/span> <\/span><\/span>def<\/span> analyze_response_codes<\/span>(df): <\/span><\/span> """ <\/span><\/span><\/span> 分析HTTP状态码分布 <\/span><\/span><\/span> """<\/span> <\/span><\/span> code_dist =<\/span> df['status_code'<\/span>].<\/span>value_counts() <\/span><\/span> risk_codes =<\/span> [403<\/span>, 401<\/span>, 500<\/span>] <\/span><\/span> <\/span><\/span> for<\/span> code in<\/span> risk_codes: <\/span><\/span> if<\/span> code in<\/span> code_dist: <\/span><\/span> print(f<\/span>"发现风险状态码 <\/span>{<\/span>code}<\/span>: <\/span>{<\/span>code_dist[code]}<\/span> 次"<\/span>) <\/span><\/span><\/code><\/pre>9. 总结<\/h2> 本教学文档详细介绍了基于MCP开发AI目录扫描分析工具的关键技术点，包括：<\/p> dirsearch工具的正确调用方式<\/li> Go与Python的混合编程技巧<\/li> 扫描结果AI分析方法<\/li> 工具架构设计思路<\/li> 常见问题解决方案<\/li> <\/ol> 通过本工具，安全研究人员可以更高效地进行Web目录扫描和风险评估，提升安全检测的智能化水平。<\/p>

AI目录扫描分析工具开发教学文档<\/h1>

1. 工具概述<\/h2> 本教学文档基于奇安信攻防社区分享的AI目录扫描分析工具开发经验，该工具结合了传统目录扫描工具dirsearch与AI分析能力，实现了更智能化的Web目录扫描功能。<\/p>

2. 开发环境准备<\/h2>

3. 核心功能实现<\/h2>

4. 工具架构设计<\/h2>

5. 开发注意事项<\/h2>

6. 扩展功能开发<\/h2>

8. 完整示例代码<\/h2>

1. 工具概述<\/h2>
本教学文档基于奇安信攻防社区分享的AI目录扫描分析工具开发经验，该工具结合了传统目录扫描工具dirsearch与AI分析能力，实现了更智能化的Web目录扫描功能。<\/p>