当前位置：首页 > news >正文

CVE漏洞爬虫脚本

news 2025/7/7 13:39:57

前言：前阵子公司非要把CVE漏洞信息拉倒本地，说方便安全员们查看，其实在莫慌看来，大可不必，90%的CVE漏洞其实不具备现实利用的可能性的（不代表不能被利用），但是你说它没有意义也是不对的，比如将CVE漏洞和资产做好关联，当资产的版本信息刚好触发CVE是不是就能第一时间获得通知了！

废话不多说，说下CVE爬虫的逻辑，CVE漏洞库是存放在git上面的，它会定时打一个增量包和打一个全量包，我们如果需要历史漏洞信息，可以下载全量包（官网也可以下载全量包），下面给大家展示是我随手写的增量包的漏洞下载，和全量包手工导入数据库的代码（数据库字段代码未放出，相比对各位老哥来说自己写个mysql插入不难），大家随心取用。

# -*- coding: utf-8 -*-
# @File    : cve_spider.py
# 爬取cve数据源：先拼接当天的cve zip包链接，然后解压读取里面的json文件，解析并导入数据库import datetime
import shutil
import os,json
import requests
import zipfile
from logger import Logger #日志代码，可以去掉相关代码
from cve_pars import get_file_list,cve_details
def search_string_in_file(file_path, target_string):  with open(file_path, 'r') as f:  for line in f:  if target_string in line:  return True  return Falsedef main():flag =0 #0代表成功1代表失败# 计算昨天日期yesterday = datetime.date.today() - datetime.timedelta(days=1)# 获取当天的cve数据源url = 'https://github.com/CVEProject/cvelistV5/releases/download/cve_{}_at_end_of_day/{}_delta_CVEs_at_end_of_day.zip'.format(yesterday,yesterday)if search_string_in_file('cveflawsurls.txt', url):print(f"已经下载过,不再重复下载{url}");returntry:   r = requests.get(url, timeout=10)except:print('请求超时')Logger.error(f" error：CVE链接请求超时")if r.status_code == 200:with open(str(yesterday) + '.zip', 'wb') as f:f.write(r.content)# 解压zip包到data目录with zipfile.ZipFile(str(yesterday) + '.zip', 'r') as z:z.extractall()#z.close()#zip文件备份到data目录try:os.rename(str(yesterday) + '.zip', './data/' + str(yesterday) + '.zip')except Exception as e:print(e)Logger.error(f" error：{e}")#解析deltaCves中的json文件file_list = get_file_list(r'./deltaCves')for file in file_list:with open(file, 'rb') as f:data = json.load(f)cve_details(data)#删除deltaCves目录try:shutil.rmtree('./deltaCves')except Exception as e:print(e)Logger.error(f" error：{e}")else:print('下载链接失败')flag = 1if flag == 0:#如果没有其他错误将下载的链接用覆盖模式存储cveflawurls.txt里面吗，避免重复爬取with open('cveflawsurls.txt', 'w') as f:f.write(url)if __name__ == '__main__':os.chdir(os.path.split(os.path.realpath(__file__))[0])if not os.path.exists('cveflawsurls.txt'):with open('cveflawsurls.txt','w') as f:f.write('')main()

# -*- coding: utf-8 -*-
# @File    : cve_pars.py
import json,os
from filetomysql import sql #这里换成自己写的数据库插入函数
import time# 提取并打印关键信息
def cve_details(cve_data):cve_id = cve_data['cveMetadata']['cveId']cve_stat = cve_data['cveMetadata']['state']cve_date = ""  #更新日期product_name = "" #受影响产品refurls = "" #参考链接cve_desc = "" #漏洞描述problem_type="" #问题类型severity="" #严重程度cvss_score = "" #CVSS评分print("CVE ID:", cve_id)print("状态:", cve_stat)try:cve_date = cve_data['cveMetadata']['dateUpdated'][:10]# print("更新日期:", cve_date)except:passtry:product_name=cve_data['containers']['cna']['affected'][0]['product']# print("受影响产品:", product_name)except:passtry:cve_desc =cve_data['containers']['cna']['descriptions'][0]['value']# print("漏洞描述",cve_desc)except:passtry:for ref in cve_data['containers']['cna']['references']:refurls+=ref['url']+"\n"    # print("参考链接",refurls)except:passtry:problem_type=cve_data['containers']['cna']['problemTypes'][0]['descriptions'][0]['description']#print("问题类型:",problem_type)except:passtry:severity=cve_data['containers']['cna']['metrics'][0]['cvssV3_1']['baseSeverity']#print("严重程度:", severity)except:passtry:cvss_score=cve_data['containers']['cna']['metrics'][0]['cvssV3_1']['baseScore']#print("CVSS评分:", cvss_score)except:passsql =NewsSeclet()sql.cvevulDB(cve_id,cve_stat,severity,product_name,cve_desc,refurls,problem_type,cvss_score,cve_date)#获取指定目录下面的文件列表
def get_file_list(path):file_list = []for root, dirs, files in os.walk(path):for file in files:file_list.append(os.path.join(root, file))return file_listif  __name__ == "__main__":file_list = get_file_list(r'./deltaCves')for file in file_list:#time.sleep(1)with open(file, 'rb') as f:data = json.load(f)cve_details(data)

查看全文

http://www.lryc.cn/news/399924.html