Wechat实现自动推送CVE内容，需关注wechat公众号方糖，获取API
获取最新CVE，也可以自我优化，进行提取关键字
import requests
import json
import time
import os
import pandas as pd
time_sleep = 20 #每隔20秒爬取一次
while(True):
headers = {
"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
response1 = requests.get(url="https://api.github.com/search/repositories?q=CVE-2021&sort=updated&per_page=10",
headers=headers)
response2 = requests.get(url="https://api.github.com/search/repositories?q=RCE&ssort=updated&per_page=10",
headers=headers)
else:
#不存在爬取全部
datas = []
response1 = requests.get(url="https://api.github.com/search/repositories?q=CVE-2021&sort=updated&order=desc",headers=headers)
response2 = requests.get(url="https://api.github.com/search/repositories?q=ctcms&ssort=updated&order=desc",headers=headers)
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)
# 此处填写个人wechat API，达到推送
requests.get("https://sc.ftqq.com/SCU138135T72db7d28e6a9744f15feab2e110a53d25fe29d8e8e54e.send",params=params,timeout=10)
#time.sleep(1)#以防推送太猛
print("推送完成!")
datas.append(s1)
else:
pass
#print("数据已处在!")
pd.DataFrame(datas).to_csv("olddata.csv",header=None,index=None)
time.sleep(time_sleep)
