信息收集-资产监控扩展

Title: wechat push CVE-2020

Date:

Exploit Author:

Version: 4.0

Tested on: Linux,windows

cd /root/sh/git/ && nohup python3 /root/sh/git/git.py &

coding:UTF-8

import requests
import json
import time
import os
import pandas as pd
time_sleep = 60 #每隔20秒爬取一次
while(True):
headers1 = {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.25 Safari/537.36 Core/1.70.3741.400 QQBrowser/10.5.3863.400"}
#判断文件是否存在
datas = []
response1=None
response2=None
if os.path.exists("olddata.csv"):
#如果文件存在则每次爬取10个
df = pd.read_csv("olddata.csv", header=None)
datas = df.where(df.notnull(),None).values.tolist()#将提取出来的数据中的nan转化为None
requests.packages.urllib3.disable_warnings()
response1 = requests.get(url="https://api.github.com/search/repositories?q=CVE-2020&sort=updated&per_page=10",headers=headers1,verify=False)
response2 = requests.get(url="https://api.github.com/search/repositories?q=RCE&ssort=updated&per_page=10",headers=headers1,verify=False)

else:
    #不存在爬取全部
    datas = []
    requests.packages.urllib3.disable_warnings()
    response1 = requests.get(url="https://api.github.com/search/repositories?q=CVE-2020&sort=updated&order=desc",headers=headers1,verify=False)
    response2 = requests.get(url="https://api.github.com/search/repositories?q=RCE&ssort=updated&order=desc",headers=headers1,verify=False)

data1 = json.loads(response1.text)
data2 = json.loads(response2.text)
for j in [data1["items"],data2["items"]]:
    for i in j:
        s = {"name":i['name'],"html":i['html_url'],"description":i['description']}
        s1 =[i['name'],i['html_url'],i['description']]
        if s1 not in datas:
            #print(s1)
            #print(datas)
            params = {
                "text":s["name"],
                "desp":" 链接:"+str(s["html"])+"\n简介"+str(s["description"])
            }
            print("当前推送为"+str(s)+"\n")
            #print(params)
            requests.packages.urllib3.disable_warnings()
            requests.get("https://sc.ftqq.com/skey信息.send",params=params,headers=headers1,timeout=10,verify=False)
            #time.sleep(1)#以防推送太猛
            print("推送完成!\n")
            datas.append(s1)
        else:
            pass
            print("数据已在!")
pd.DataFrame(datas).to_csv("olddata.csv",header=None,index=None)
time.sleep(time_sleep)

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