python批量处理多DNS多域名的nslookup解析实现

砸漏

发布于 2020-10-21 14:46:31

5K0

发布于 2020-10-21 14:46:31

文章被收录于专栏：恩蓝脚本

利用EXCLE生成CSV文档，批量处理nslookup解析。并保存为CSV文档，方便进行查看：

输入文档格式：

data\domain.csv

最终输出文档情况：

data\nlookup.csv

代码：

# coding=gbk
import subprocess
import csv
 
 
def get_nslookup(domain, dns):
  res = subprocess.Popen("nslookup {0} {1}".format(domain, dns), stdin=subprocess.PIPE,
              stdout=subprocess.PIPE).communicate()[0]
  response = res.decode("gbk")
  res_list = response.split("s:")
  row_nslookup = [domain, dns]
  row_ip = res_list[2].split()[:-1]
  row_nslookup.extend(row_ip)
  return row_nslookup
 
 
if __name__ == "__main__":
  file_domain = r'data\domain.csv'    # 输入文件
  file_nslookup = r'data\nslookup.csv'  # 输出文件
  with open(file_domain, 'r', newline='', encoding='gbk') as rf:
    domain_csv = csv.DictReader(rf, dialect=csv.excel)
    domain_list = [row['domain'] for row in domain_csv]
 
  with open(file_domain, 'r', newline='', encoding='gbk') as rf:
    domain_csv = csv.DictReader(rf, dialect=csv.excel)
    dns_list = []
    for row in domain_csv:
      print(row['DNS'])
      if row['DNS'] != '':    # 通常DNS数量少于需要监测的域名数量，做去空处理
        dns_list.append(row['DNS'])
 
  with open(file_nslookup, 'w+', newline='', encoding='gbk') as wf:
    nslookup_csv = csv.writer(wf, dialect=csv.excel)
    header = ['domain', 'DNS', 'nslookup_res...']
    nslookup_csv.writerow(header)
    for domain in domain_list:
      for dns in dns_list:
        print('解析中：域名：{0}___DNS：{1}'.format(domain, dns))
        row_nslookup = get_nslookup(domain, dns)
        nslookup_csv.writerow(row_nslookup)
 
print('执行完毕')

到此这篇关于python批量处理多DNS多域名的nslookup解析实现的文章就介绍到这了,更多相关python 批量多域名nslookup内容请搜索ZaLou.Cn

本文参与腾讯云自媒体同步曝光计划，分享自作者个人站点/博客。

原始发表：2020-09-11 ，如有侵权请联系 cloudcommunity@tencent.com 删除

python