一款实用综合扫描工具

一款实用综合扫描工具

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Vxscan是用python3写的综合扫描工具,主要用来敏感文件探测(目录扫描与js泄露),WAF/CDN识别,端口扫描,指纹/服务识别,操作系统识别,弱口令探测,POC扫描,SQL注入,绕过CDN,查询旁站等功能。

安装说明

要求Python版本大于3.6:

git clone https://github.com/al0ne/Vxscan cd Vxscan apt install libpq-dev nmap wget https://geolite.maxmind.com/download/geoip/database/GeoLite2-City.tar.gz

解压后将里面的GeoLite2-City.mmdb放到vxscan/db/GeoLite2-City.mmdb。

pip3 install -r requirements.txt

主要功能

使用多线程扫描目录;

使用笛卡尔乘积方式生成字典列表,支持自定义字典列表;

随机的UserAgent、XFF、X-Real-IP;

存活探测,对扫描目标先通过socket.gethostbyname判断解析在通过ping判断存活;

自定义404页面识别,访问随机页面然后通过difflib对比相似度,识别自定义302跳转;

扫描目录时先探测http端口,将一个主机多个http端口加入到扫描目标中;

过滤无效Content-Type,无效状态吗;

WAF/CDN探测,集成100 常见WAF与CDN指纹;

使用socket发包探测常见端口,发送不同payload探测端口服务指纹;

遇到全端口开放的主机(portspoof)自动跳过;

调用wappalyzer.json与WebEye判断网站指纹,集成1200 常见指纹;

检测到CDN或者WAF网站自动跳过;

调用nmap识别操作系统指纹;

根据端口开放调用弱口令探测脚本(FTP/SSH/TELNET/Mysql/MSSQL…);

根据指纹识别或者端口调用POC扫描,或将IP开放的WEB端口上打一遍;

分析js文件里面的敏感资产信息(域名、邮箱、apikey、password等);

抓取网站连接,测试SQL注入,LFI等;

调用一些在线接口获取信息,通过VT pdns判断真实IP,通过www.yougetsignal.com、api.hackertarget.co查询网站旁站。

使用方式

python3 Vxscan.py -h

optional arguments: -h, --help show this help message and exit -u URL, --url URL Start scanning this url -u xxx.com -i INET, --inet INET cidr eg. 1.1.1.1 or 1.1.1.0/24 -f FILE, --file FILE read the url from the file -t THREADS, --threads THREADS Set scan thread, default 150 -e EXT, --ext EXT Set scan suffix, -e php,asp -w WORD, --word WORD Read the dict from the file

1.扫描一个网站

python3 vxscan.py -u http://www.xxx.com/

2.从文件列表里扫描网站

python3 vxscan.py -f hosts.txt

3.扫描一个C段

python3 vxscan.py -i 127.0.0.0/24

4.设置线程100,组合只用php后缀,使用自定义字典

python3 vxscan.py -u http://www.xxx.com -e php -t 100 -w ../dict.txt

目录结构

/ ├─Vxscan.py 主文件 ├─db │ ├─apps.json Web指纹信息 │ ├─apps.txt Web指纹信息(WEBEYE) │ ├─password.txt 密码字典 ├─report 报告目录 ├─lib │ ├─common.py 判断CDN、端口扫描、POC扫描等 │ ├─color.py 终端颜色输出 │ ├─active.py 判断dns解析与ping ip存活 │ ├─save_html.py 生成html报表 │ ├─crack.py 测试弱密码 │ ├─waf.py waf规则 │ ├─osdetect.py 操作系统版本识别 │ ├─random_header.py 自定义header头 │ ├─scan_port.py 端口扫描脚本 │ ├─jsparse.py 抓取网站js连接,分析ip地址,链接,Email等 │ ├─settings.py 设置脚本 │ ├─pyh.py 生成html │ ├─wappalyzer.py 指纹识别脚本 │ ├─SQLi.py 抓取网站连接,测试SQL注入脚本 ├─script │ ├─Poc.py Poc脚本 │ ├─...... ├─requirements.txt ├─logo.jpg ├─error.log

配置文件

修改lib/settings.py

# 全局超时时间 TIMEOUT = 5 # 要排除的状态吗 BLOCK_CODE = [ 301, 403, 308, 404, 405, 406, 408, 411, 417, 429, 493, 502, 503, 504, 999 ] # 设置扫描线程 THREADS = 100 # 要排除的 内容类型 BLOCK_CONTYPE = [ 'image/jpeg', 'image/gif', 'image/png', 'application/javascript', 'application/x-javascript', 'text/css', 'application/x-shockwave-flash', 'text/javascript', 'image/x-icon' ] # 是否跳过目录扫描 SKIP = True # 保存的文件名 html_name = time.strftime("%Y%m%d%H%M%S", time.localtime()) # shodan shodan_api = '' # VT接口 virustotal_api = 'xxxxxxxxxxxxxxxxxxxxxxxxxx' # 添加Cookie COOKIE = {'Cookie': 'Vxscan 1.0'} # 设置密码 PASS = ['password']

POC编写

案例1 根据端口开放或者指纹识别结果来调用POC

在script目录下新建python文件,定义好check函数,传进来的参数主要是ip地址、端口列表、指纹识别列表,然后将结果return回去:

import pymongo from lib.verify import verify timeout = 2 vuln = ['27017', 'Mongodb'] def check(ip, ports, apps): # verify用来验证扫描列表中是否有Mongodb相关的结果,如果端口没有开启则不进行扫描 if verify(vuln, ports, apps): try: conn = pymongo.MongoClient(host=ip, port=27017, serverSelectionTimeoutMS=timeout) database_list = conn.list_database_names() if not database_list: conn.close() return conn.close() return '27017 MongoDB Unauthorized Access' except Exception as e: pass

案例2 在目标IP开放的每个HTTP端口上遍历一遍

根据传递过来的端口服务列表生成要扫描的url,然后在每个web端口中去访问一遍,下面脚本会获取ip每个http端口的标题:

from lib.verify import Probe from lib.random_header import HEADERS from lxml import etree import requests def get_title(url): try: r = requests.get(url, headers=HEADERS, timeout=3, verify=False) html = etree.HTML(r.text) title = html.xpath('//title/text()') return url ' | ' title[0] except: pass def check(ip, ports, apps): result = [] probe = Probe(ip, ports) for i in probe: out = get_title(i) if out: result.append(out) return result

案例3 根据端口开放调用弱口令探测:

from lib.verify import verify, GetHosts import concurrent.futures import pymysql vuln = ['mysql', '3306'] user = ['root'] result = '' def mysqlBruteforce(task): global result address, username, password = task.split('|') try: db = pymysql.connect(address, username, password, "mysql") result = 'Mysql User: ' username ' Pass: ' password except: pass def check(ip, ports, apps): global result if verify(vuln, ports, apps): # GetHosts会根据ip和用户名还有lib/settings.py里设置的密码生成一个要爆破的列表, hosts = GetHosts(ip, user) with concurrent.futures.ThreadPoolExecutor(max_workers=40) as executor: executor.map(mysqlBruteforce, hosts) return result

程序输出

[ { "testphp.vulnweb.com": { "WAF": "NoWAF", "Webinfo": { "apps": [ "PHP", "Nginx", "DreamWeaver", "php" ], "title": "Home of Acunetix Art", "server": "nginx/1.4.1" }, "Ports": [ "ftp:21", "http:80", "ssh:22", "http:8443" ], "Vuln": [ "MySQL SQLi:http://testphp.vulnweb.com/search.php?test=query", "MySQL SQLi:http://testphp.vulnweb.com/listproducts.php?cat=2", "MySQL SQLi:http://testphp.vulnweb.com/artists.php?artist=2" ], "URLS": [ { "rsp_code": 200, "rsp_len": 3864, "title": "search", "contype": "html", "url": "/search.php" }, { "rsp_code": 200, "rsp_len": 4671, "title": "login page", "contype": "html", "url": "/login.php" }, { "rsp_code": 200, "rsp_len": 143, "title": "None", "contype": "xml", "url": "/.idea/scopes/scope_settings.xml" }, { "rsp_code": 200, "rsp_len": 1, "title": "None", "contype": "plain", "url": "/CVS/Root" }, { "rsp_code": 200, "rsp_len": 224, "title": "None", "contype": "xml", "url": "/crossdomain.xml" }, { "rsp_code": 200, "rsp_len": 3265, "title": "Home of WASP Art", "contype": "zip", "url": "/index.zip" } ......

项目地址

https://github.com/al0ne/Vxscan

参考说明

参考了cnnetarmy Srchunter设计思路。

参考了brut3k1t的弱口令模块:

https://github.com/ex0dus-0x/brut3k1t

指纹识别主要调用Wappalyzer与WebEye:

https://github.com/b4ubles/python3-Wappalyzer

https://github.com/zerokeeper/WebEye

Poc参考了:

BBscan扫描器 https://github.com/lijiejie/BBScan

POC-T https://github.com/Xyntax/POC-T/tree/2.0/script

Perun https://github.com/WyAtu/Perun

参考了anthx的端口扫描、服务判断:

https://raw.githubusercontent.com/AnthraX1/InsightScan/master/scanner.py

注入爬虫参考了:

DSSS https://github.com/stamparm/DSSS

js敏感信息正则提取参考了:

https://github.com/nsonaniya2010/SubDomainizer

WAF判断使用的是waf00f与whatwaf的判断规则:

https://github.com/EnableSecurity/wafw00f

https://github.com/Ekultek/WhatWaf

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