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167 changes: 167 additions & 0 deletions README.md
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# EHole(棱洞)3.0 重构版（二开新增hunter接口）

![Author](https://img.shields.io/badge/Author-shihuang-green) ![language](https://img.shields.io/badge/language-Golang-green) ![version](https://img.shields.io/badge/version-2.0-brightgreen)

### [# 00x01] 简介：

```
______ __ ______
/ ____/___/ /___ ____/_ __/__ ____ _____ ___
/ __/ / __ / __ `/ _ \/ / / _ \/ __ `/ __ `__ \
/ /___/ /_/ / /_/ / __/ / / __/ /_/ / / / / / /
/_____/\__,_/\__, /\___/_/ \___/\__,_/_/ /_/ /_/
/____/ https://forum.ywhack.com By:shihuang
```

EHole是一款对资产中重点系统指纹识别的工具，在红队作战中，信息收集是必不可少的环节，如何才能从大量的资产中提取有用的系统(如OA、VPN、Weblogic...)。EHole旨在帮助红队人员在信息收集期间能够快速从C段、大量杂乱的资产中精准定位到易被攻击的系统，从而实施进一步攻击。

**20210823 Ehole 开源版，本次优化内容如下：**



* 1.支持xlsx导出结果
* 2.支持自定义语法导出fofa结果
* 2.支持自适应favicon的路径

感谢 Ehole 开源作者 @shihuang

**20210623 EHole(棱洞)3.0版本，更新内容如下：**

* 1.多个CMS指纹识别(如一个URL同时匹配多个CMS指纹则会同时显示);
* 2.颜色高亮(新增颜色高亮，识别到的系统会以红色进行显示，更易于区分);
* 3.新增FOFA批量端口提取(如拿到一万甚至十万IP的情况，则可以使用-fall批量从FOFA中提取端口信息);
* 4.优化多个识别规则，更易于识别重点系统;
* 5.新增多条指纹,目前能识别大部分常见的系统;
* 6.优化文件读取,更快速准确的识别内容;
* 7.FOFA语法搜索优化,使用-fofa参数快速从fofa提取资产进行识别。

**20230511 EHole(棱洞)3.0版本，更新内容如下：**

* 新增hunter接口。

### [# 00x02] 使用：

配合[红队中易被攻击的一些重点系统漏洞整理]食用效果更佳：https://forum.ywhack.com/bountytips.php?Vulnerability

```bash

______ __ ______
/ ____/___/ /___ ____/_ __/__ ____ _____ ___
/ __/ / __ / __ `/ _ \/ / / _ \/ __ `/ __ `__ \
/ /___/ /_/ / /_/ / __/ / / __/ /_/ / / / / / /
/_____/\__,_/\__, /\___/_/ \___/\__,_/_/ /_/ /_/
/____/ https://forum.ywhack.com By:shihuang
EHole是一款对资产中重点系统指纹识别的工具，在红队作战中，信息收集
是必不可少的环节，如何才能从大量的资产中提取有用的系统(如OA、VPN、Web
logic...)。EHole旨在帮助红队人员在信息收集期间能够快速从C段、大量杂乱
的资产中精准定位到易被攻击的系统，从而实施进一步攻击。
Usage:
ehole [command]
Available Commands:
finger ehole的指纹识别模块
fofaext ehole的fofa提取模块
help Help about any command
Flags:
--config string config file (default is $HOME/.ehole.yaml)
-h, --help help for ehole
-t, --toggle Help message for toggle
Use "ehole [command] --help" for more information about a command.
```

```
$ ehole.exe finger -h
从fofa或者本地文件获取资产进行指纹识别，支持单条url识别。

Usage:
ehole finger [flags]

Flags:
-f, --fip string 从fofa提取资产，进行指纹识别，仅仅支持ip或者ip段，例如：192.168.1.1 | 192.168.1.0/24
-s, --fofa string 从fofa提取资产，进行指纹识别，支持fofa所有语法
-h, --help help for finger
-a, --hip string 从hunter提取资产，进行指纹识别，仅仅支持ip或者ip段，例如：192.168.1.1 | 192.168.1.0/24
-b, --hunter string 从hunter提取资产，进行指纹识别，支持hunter所有语法
-l, --local string 从本地文件读取资产，进行指纹识别，支持无协议，列如：192.168.1.1:9090 | http://192.168.1.1:9090
-o, --output string 输出所有结果，当前仅支持json和xlsx后缀的文件。
-p, --proxy string 指定访问目标时的代理，支持http代理和socks5，例如：http://127.0.0.1:8080、socks5://127.0.0.1:8080
-t, --thread int 指纹识别线程大小。 (default 100)
-u, --url string 识别单个目标。

Global Flags:
--config string config file (default is $HOME/.ehole.yaml)
```
EHole(棱洞)2.0提供了**两种**指纹识别方式，可从本地读取识别，也可以从FOFA进行批量调用API识别(需要FOFA密钥)，同时支持结果JSON格式输出。
**1.本地识别：**
```bash
EHole -l url.txt //URL地址需带上协议,每行一个
```

**2.FOFA识别:**

注意：从FOFA识别需要配置FOFA 密钥以及邮箱，在config.ini内配置好密钥以及邮箱即可使用。

```bash
EHole -f 192.168.1.1/24 //支持单IP或IP段
```

**3.结果输出：**

```bash
EHole -l url.txt -json export.json //结果输出至export.json文件
```

### [# 00x03] 指纹编写：

EHole(棱洞)2.0改变了原有的指纹识别规则，2.0版指纹从外部文件读入，识别方式：

**指纹格式：**

```json
关键字匹配：
{
"cms": "seeyon",
"method": "keyword",
"location": "body",
"keyword": ["/seeyon/USER-DATA/IMAGES/LOGIN/login.gif"]
}
```

```json
faviconhash匹配：
{
"cms": "CapRover",
"method": "faviconhash",
"location": "body",
"keyword": ["988422585"]
}
```

1. cms：系统名称
2. method：识别方式 (支持三种识别方式，分别为：keyword、faviconhash、regula)
3. location：位置（指纹识别位置，提供两个位置，一个为body，一个为header）
4. keyword：关键字（favicon图标hash、正则表达式、关键字）

⚠️注意：keyword支持多关键字匹配，需要所有关键字匹配上才能识别。如：

```json
"keyword": ["sys/ui/extend/theme/default/style/icon.css", "sys/ui/extend/theme/default/style/profile.css"]
```

### [# 00x04] 使用效果：

**fofa识别：**

![-w912](images/16106897804249.jpg)

**输出效果：**

![-w1325](images/16106898229421.jpg)
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