sumproduct函数的功能是什么（SUMPRODUCT函数的使用方法）
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2022-05-30
Python 示例介绍
1.概述
1.1介绍
运用python +requests+beautifulsoup程序实现对shodan搜索引擎中的数据进行爬取，获取malware（恶意软件）IP的筛选，根据国家、服务、组织、产品进行搜索获取具体的IP信息。具体思路是通过requests构造Fromdata登录对后台发送数据请求，获取网页源码之后利用BeautifulSoup和正则对源码进行文本筛选，获取我们需要的相关信息。
2.原理介绍
2.1 shodan介绍
Shodan是一个搜索引擎，与谷歌不同的是，Shodan不是在网上搜索网址，而是直接进入互联网的背后通道。Shodan可以说是一款“黑暗”谷歌，一刻不停的在寻找着所有和互联网关联的服务器、摄像头、打印机、路由器等等。每个月Shodan都会在大约5亿个服务器上日夜不停地搜集信息。
Shodan所搜集到的信息是极其惊人的。凡是链接到互联网的红绿灯、安全摄像头、家庭自动化设备以及加热系统等等都会被轻易的搜索到。Shodan的使用者曾发现过一个水上公园的控制系统，一个加油站，甚至一个酒店的葡萄酒冷却器。而网站的研究者也曾使用Shodan定位到了核电站的指挥和控制系统及一个粒子回旋加速器。
Shodan真正值得注意的能力就是能找到几乎所有和互联网相关联的东西。而Shodan真正的可怕之处就是这些设备几乎都没有安装安全防御措施，其可以随意进入。
2.2 Requests介绍
requests是python的一个HTTP客户端库，跟urllib，urllib2类似，那为什么要用requests而不用urllib2呢？官方文档中是这样说明的：
python的标准库urllib2提供了大部分需要的HTTP功能，但是API太逆天了，一个简单的功能就需要一大堆代码。本着偷懒的想法，个人更倾向于requests这个第三方库的运用。
Requests的简单应用介绍：
#导入模块
Import requests
#发送GET请求
r = requests.get('http://www.zhidaow.com')
#获取网页源码
r．text()
#禁止跳转
r=requests.get('http://www.baidu.com/link?url=QeTRFOS7TuUQRppa0wlTJJr6FfIYI1DJprJukx4Qy0XnsDO_s9baoO8u1wvjxgqN', allow_redirects = False)
#获取网页状态码，用来判断请求是否成功
r.status_code
#获取响应头
r.headers
#发送POST,PUT,DELETE,HEAD,OPTIONS请求
#r = requests.post("http://httpbin.org/post")
#r = requests.put("http://httpbin.org/put")
#r = requests.delete("http://httpbin.org/delete")
#r = requests.head("http://httpbin.org/get")
#r = requests.options("http://httpbin.org/get")
更多的应用可以上http://www.zhidaow.com/post/python-requests-install-and-brief-introduction查询
2.3 BeautifulSoup介绍
BeautifulSoup是一个可以从HTML或XML文件中提取数据的Python库.它能够通过你喜欢的转换器实现惯用的文档导航,查找,修改文档的方式.Beautiful Soup会帮你节省数小时甚至数天的工作时间.
BeautifulSoup简单用法的介绍：
#首先设定一个html文本
html_doc = """
The Dormouse's story
Once upon a time there were three little sisters; and their names were
Lacie and
and they lived at the bottom of a well.
...
#导入BeautifulSoup模块
from bs4 import BeautifulSoup
soup = BeautifulSoup(html_doc)
#几个简单的浏览结构化数据的方法
soup.title #获取title的标签行
#
soup.title.name
# u'title'
soup.title.string #打印title标签中的文本
# u'The Dormouse's story
'
soup.title.parent.name #title标签的父节点
# u'head
'
soup.p #所有P标签行
#
The Dormouse's story
soup.p['class'] #打印P标签中的class属性值
# u'title
'
soup.a #打印a标签行
# Elsie
soup.find_all('a')#找到所有的a标签行
# [Elsie,
# Lacie,
# Tillie]
soup.find(id="link3")
# Tillie
从文档中找到所有标签的链接:
for link in soup.find_all('a'):
print(link.get('href'))
# http://example.com/elsie
# http://example.com/lacie
# http://example.com/tillie
从文档中获取所有文字内容:
print(soup.get_text())
# The Dormouse's story
#
# The Dormouse's story
#
# Once upon a time there were three little sisters; and their names were
# Elsie,
# Lacie and
# Tillie;
# and they lived at the bottom of a well.
#
# ...
以上是beautifulsoup的基本用法，个人喜欢beautifulsoup和正则一起用，这样比较省时省力。
2.4环境搭建
1、搭建python环境
1) 安装python安装包
-：https://www.python.org/downloads/release/python-2711/
2) 在环境变量中添加相应的变量名与变量值
变量名：Path
变量值：C:\Python27 （即Python的安装路径）
3)测试Python是否配置完成
在cmd中输入python -V 提示以下信息表示配置完成
C:\Users\Administrator>python -V
Python 2.7.11
2、安装 pip
打开C:\Python27\Scripts查看安装python中是否有pip文件，将C:\Python27\Scripts加入系统环境变量即可，然后打开CMD窗口，执行pip命令，查看pip是否可用。
3.安装 requests和bs4
1）通过pip 安装
pip install requests
2）安装bs4
pip install bs4
2.5 程序代码：
#_*_coding:utf-8_*_
import requests
from bs4 import BeautifulSoup
import re
import time
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
url_infos=[]
ip_list=[]
searchfor_list=[]
addon_list=[]
information=[]
ports=[2280,1604,1177,16464,443]
organizations=['George+Mason+University','Enzu','Psychz+Networks','Turk+Telekom','HOPUS+SAS']
products=['Gh0st+RAT+trojan','DarkComet+trojan','njRAT+trojan','ZeroAccess+trojan','XtremeRAT+trojan']
page_nums=range(1,6)
countries=['AE','AF','AL','AM','AO','AR','AT','AU','AZ','BD','BE','BF','BG','BH','BI','BJ','BL','BN','BO','BR',
'BW','BY','CA','CF','CG','CH','CL','CM','CN','CO','CR','CS','CU','CY','DE','DK','DO','DZ','EC','EE','EG','ES',
'ET','FI','FJ','FR','GA','GB','GD','GE','GH','GN','GR','GT','HK','HN','HU','ID','IE','IL','IN','IQ','IR','IS',
'IT','JM','KG','KH','KP','KR','KT','KW','KZ','LA','LB','LC','LI','LK','LR','LT','LU','LV','LY','MA','MC','MD',
'MG','ML','MM','MN','MO','MT','MU','MW','MX','MY','MZ','NA','NE','NG','NI','NL','NO','NP','NZ','OM','PA','PE',
'PG','PH','PK','PL','PT','PY','QA','RO','RU','SA','SC','SD','SE','SG','SI','SK','SM','SN','SO','SY','SZ','TD',
'TG','TH','TJ','TM','TN','TR','TW','TZ','UA','UG','US','UY','UZ','VC','VE','VN','YE','YU','ZA','ZM','ZR','ZW']
class Get_IP():
def __init__(self,url,headers):
self.headers=headers
self.url=url
def get_info(self):
for data in datas:
req=requests.post(self.url,params=data,headers=self.headers)
html=req.text
pattern=re.compile(r'
pattern0=re.compile(r'value=\'(.*?)\'/')
soup=BeautifulSoup(html,'html.parser')
Add_on=soup.find_all(text=re.compile(r'Added\ on'))
for i in soup.select('input[id="search_input"]'):
text_b=re.search(pattern0,str(i)).group(1)
for i in Add_on:
addon_list.append(i)
for i in soup.find_all(href=re.compile(r'/host/')):
if 'Details' not in i.get_text():
ip_list.append(i.get_text())
searchfor_list.append(text_b)
return ip_list,searchfor_list,addon_list
class Get_Ip_Info():
def __init__(self,url,headers):
self.url=url
self.headers=headers
def get_ip_info(self):
for data in url_infos:
req_ip=requests.post(self.url,params=data,headers=self.headers)
html_ip=req_ip.text
soup=BeautifulSoup(html_ip,'html.parser')
tag_text=[]
tag_content=[]
for i in soup.find_all('th'):
tag_text.append(i.get_text())
for i in soup.find_all('td'):
tag_content.append(i.get_text())
for i in soup.select('meta[name="twitter:description"]'):
pattern=re.compile(r'content="Ports open:(.*?)"')
ports=re.search(pattern,str(i)).group(1)
info=dict(zip(tag_content,tag_text))
info['Ports']=ports
info['Ip']=data['continue'].strip('https://www.shodan.io/host/')
information.append(info)
if __name__=="__main__":
headers={'User-Agent':"Mozilla/5.0 (Windows NT 6.1; WOW64; rv:25.0) ""Gecko/20100101 Firefox/25.0"}
url='https://account.shodan.io/login'
file_path=r'C:\Users\Administrator\Downloads\shoudan%s.txt'%time.strftime('%Y-%m-%d',time.localtime(time.time()))
file_w=open(file_path,'wb')
all_url=[]
datas=[]
for country in countries:
for page_num in page_nums:
home_url='https://www.shodan.io/search?query=category%3A%22malware%22+country%3A%22'+'%s'%country+'%22&'+'page=%d'%page_num
all_url.append(home_url)
for port in ports:
for page_num in page_nums:
home_url='https://www.shodan.io/search?query=category%3A%22malware%22+port%3A%22'+'%d'%port+'%22&'+'page=%d'%page_num
all_url.append(home_url)
for org in organizations:
for page_num in page_nums:
home_url='https://www.shodan.io/search?query=category%3A%22malware%22+org%3A%22'+'%s'%org+'%22&'+'page=%d'%page_num
all_url.append(home_url)
for product in products:
for page_num in page_nums:
home_url='https://www.shodan.io/search?query=category%3A%22malware%22+product%3A%22'+'%s'%product+'%22&'+'page=%d'%page_num
all_url.append(home_url)
for continue_url in all_url:
info={
'username':'xxxxxxxxxx',#Shodan账户名
'password':'xxxxxxxxxx',#Shodan密码
'grant_type':'password',
'continue':continue_url,
'login_submit':'Log in'
}
datas.append(info)
app=Get_IP(url,headers)
app.get_info()
for ip in ip_list:
url_ip='https://www.shodan.io/host/'+'%s'%ip
url_info={
'username':'xxxxxxxxxx',#Shodan账户名
'password':'xxxxxxxxxx',#Shodan密码
'grant_type':'password',
'continue':url_ip,
'login_submit':'Log in'
}
url_infos.append(url_info)
app=Get_Ip_Info(url,headers)
app.get_ip_info()
total_info=zip(searchfor_list,information,addon_list)
for i in range(len(total_info)):
search_for=total_info[i][0]
add_on=total_info[i][2]
ip_info=total_info[i][1]['Ip']
try:
city_info=str(total_info[i][1]['City'])
except KeyError:
city_info='NULL'
try:
ports_info=str(total_info[i][1]['Ports'])
except KeyError:
ports_info='NULL'
try:
country_info=str(total_info[i][1]['Country'])
except KeyError:
country_info='NULL'
try:
hostnames_info=str(total_info[i][1]['Hostnames'])
except KeyError:
hostnames_info='NULL'
word=search_for+' ||' +country_info+' '+city_info+' ||'+hostnames_info+' ||'+ip_info+'||'+ports_info+' ||'+add_on
file_w.write(word+'\r\n')
file_w.close()
2.6 功能介绍：
根据搜索条件，对Shodan搜索到的信息进行收集，并每天产生信息日志。初始的一个搜索条件是category:"malware"对恶意软件的一个搜索，然后再根据国家、服务、组织、产品细化搜索，获取所有涉及到的IP地址，最后继续根据IP地址，进入details页面，返回IP涉及到的详细数据（Ports、Ip、Hostname、Country、City）
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