我有一个像这样的ips列表;
ban = ['162.210.197.58', '36.72.31.198', '163.172.221.63', '134.35.42.49', '176.65.117.81', '46.8.28.110', '110.139.16.72', '31.29.61.218', '38.95.109.67', '31.155.204.143', '5.254.65.190', '46.101.127.145', '111.15.193.84', '187.142.198.151', '188.227.45.110', '125.236.168.242', '5.254.65.122', '5.254.65.28', '185.182.81.93', '188.210.133.199', '151.241.125.237', '207.148.111.126', '145.239.70.231', '2.94.113.65', '204.85.191.30', '2.229.128.135', '92.127.255.182', '46.133.77.143', '118.69.63.15', '46.39.55.162', '185.182.81.14', '188.244.132.49', '138.197.160.121', '176.15.222.56', '82.178.233.175', '94.41.43.252', '78.137.73.171', '5.142.90.22', '212.2.212.151', '207.244.77.174', '176.59.46.108', '179.7.106.194', '154.118.17.57', '5.254.65.119', '176.33.236.247', '41.218.215.25', '199.249.224.47', '207.244.83.97', '84.241.13.93', '197.210.54.218', '93.35.166.148', '218.107.49.9', '39.55.130.71', '78.168.207.252', '213.141.227.238', '36.69.70.20', '5.254.65.218', '103.10.197.12', 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'108.248.141.54', '130.34.246.189', '207.244.79.154', '41.66.255.247', '128.69.14.62', '87.107.208.172', '199.115.116.35', '46.191.213.221', '199.115.114.220', '172.56.44.234', '69.12.94.91', '5.254.65.99', '37.203.243.97', '185.182.81.29', '37.210.142.211', '207.244.78.9', '206.189.56.39', '193.104.27.86', '37.190.37.236', '112.197.34.56', '189.124.82.209', '99.66.132.171', '5.254.65.16', '46.201.114.83', '81.31.178.23', '94.47.97.98', '82.102.31.251', '103.10.197.203', '94.98.252.208', '14.139.160.236', '185.182.81.130', '184.43.6.218', '92.37.143.180', '5.254.65.12', '83.142.185.126', '5.254.65.178', '213.87.123.37', '36.67.214.132', '185.182.81.21', '205.164.32.216', '207.244.83.198', '5.254.65.11', '197.210.221.42', '207.244.83.206', '5.254.65.130', '176.14.156.125', '94.138.40.7', '182.75.59.110', '162.210.197.57', '41.35.98.90', '95.139.11.104', '103.10.197.93', '39.40.168.95', '213.87.127.74', '2.94.25.98', '216.218.222.14', '207.244.82.155', '138.197.154.118', 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'103.10.197.156', '5.254.65.9', '178.140.62.96', '207.244.77.16', '109.161.121.117', '37.78.31.88', '185.220.101.13', '185.182.81.87', '87.107.165.5', '185.135.233.14', '209.58.148.100', '83.110.13.200', '5.254.65.132', '93.80.234.243', '190.39.198.140', '95.221.183.242', '185.222.209.32', '154.160.16.167', '80.71.249.236', '185.182.81.39', '41.79.197.12', '91.76.89.93', '45.247.206.86', '185.182.81.88', '192.81.222.95', '207.244.86.236', '197.210.29.171', '213.61.95.74', '41.254.7.18', '31.9.55.66', '154.112.8.183', '5.254.65.180', '37.187.158.97', '195.149.108.45', '94.179.147.128', '94.130.206.211', '31.173.85.237', '103.10.197.221', '46.39.83.173', '5.254.65.170', '5.254.65.18', '95.167.31.202', '207.244.83.212', '138.197.174.132', '185.182.81.35', '192.96.205.135', '130.88.240.92', '185.182.81.94', '90.147.2.94', '209.126.90.97', '128.75.107.209', '2.94.139.161', '103.106.174.102', '186.4.212.26', '37.145.142.85', '207.244.86.194', '72.211.60.177', '95.30.45.134', '80.71.253.200', '5.254.65.109', '185.182.81.38', '5.254.65.214', '178.62.221.111', '81.92.200.204', '89.104.104.226', '95.73.236.188', '207.244.83.113', '185.182.81.24', '103.247.48.111', '176.59.43.149', '109.233.172.188', '207.244.70.35', '84.17.230.179', '83.123.148.16', '122.171.168.163', '213.87.121.217', '110.54.232.113', '206.189.56.10', '154.160.30.129', '207.244.93.227', '178.46.96.130', '87.116.196.230', '181.208.250.104', '43.252.233.33', '207.244.82.249', '154.68.5.60', '37.27.72.154', '178.68.165.3', '194.186.9.228', '207.244.79.134', '41.34.209.13', '192.119.160.242', '37.187.129.166', '41.254.7.152', '46.38.23.226', '185.182.81.52', '27.34.104.88', '31.29.253.114', '200.17.141.3', '86.62.75.82', '93.183.219.225', '94.143.40.157', '103.10.197.194', '188.166.212.116', '185.182.81.2', '212.98.135.186', '103.10.197.92', '207.244.83.195', '217.64.17.124', '46.242.10.244', '209.58.136.236', '156.203.226.215', '103.10.197.218', '199.115.114.218', '185.182.81.8', '207.244.82.231', '95.8.0.20', '207.244.82.133', '128.74.124.28', '111.95.14.210', '213.87.126.35', '5.254.65.134', '91.240.210.185', '185.182.81.132', '95.32.139.134', '213.55.110.157', '185.182.81.26', '176.47.67.182', '91.65.54.25', '217.10.34.243', '185.182.81.133', '182.1.191.230', '103.10.197.90', '213.87.225.153', '207.244.77.184', '185.182.81.81', '5.254.65.88', '123.176.6.58', '213.55.110.206', '93.157.169.12', '103.10.197.219', '109.252.81.16', '78.111.187.63', '82.196.1.179', '185.182.81.59', '148.0.193.199', '14.202.100.66', '5.250.37.110', '156.219.245.39', '31.9.112.197', '185.112.37.25', '128.70.176.120', '185.182.81.27', '188.226.226.40', '109.174.113.45', '5.246.33.162', '5.254.65.189', '46.151.246.57', '77.71.24.206', '178.62.36.218', '185.182.81.36', '196.188.112.153', '199.249.223.49', '80.252.153.74', '87.109.169.79', '207.244.83.200', '197.210.54.144', '95.57.231.156', '207.244.94.33', '103.16.25.2', '217.174.233.46', '178.184.98.116', '185.182.81.55', '107.77.207.197', '86.21.86.205', '5.254.65.192', '38.95.108.230', '94.13.131.173', '107.77.209.181', '176.59.54.71', '128.179.252.54', '31.215.58.51', '207.244.83.123', '85.106.69.110', '192.160.102.170', '37.146.34.208', '46.39.228.226', '87.225.75.186', '159.89.123.60', '176.59.68.249', '37.143.20.94', '105.112.29.37', '89.146.74.31', '90.147.2.86', '217.144.175.138', '212.252.57.203', '131.117.162.145', '109.63.245.141', '92.97.199.104', '176.123.121.221', '213.142.154.3', '180.160.55.195', '176.195.133.16', '172.241.112.3', '207.244.83.217', '125.167.120.44', '109.252.85.9', '46.39.53.115', '206.189.201.4', '31.173.83.78', '199.115.115.215', '178.62.153.200']
如何将上述ips列表转换为子网列表？
例如;
185.182.0.0/y, 207.244.0.0/x
修改
我从几个看起来像是在同一个子网中的ips获得了大量恶意流量，但是有几千个ips，我如何将这样的列表转换为子网，以便我可以阻止子网吗？
答案 0 :(得分：2)
请注意，IPv4子网可能有多种不同的大小，从单个IP地址的/32到整个互联网的/0。如果您拥有的是IP地址，那么您没有足够的信息来确定网络管理员如何划分网络子网。假设/24或/16通常是错误的。
也就是说，你可以使用whois来查找与包含特定IP地址的ASN相关联的网络范围。您可以通过像ipwhois这样的工具使用python中的whois来构建一个您认为“糟糕”的净范围列表，这取决于您在该ASN中有来自坏IP的联系。
from ipwhois import IPWhois
bad_ips = ["185.182.81.12",]
bad_asn_ranges = set()
for ip in bad_ips:
obj = IPWhois(ip)
ret = obj.lookup_whois()
print(ret)
bad_asn_ranges.add(ret['asn_cidr'])
print(bad_asn_ranges)
如果好人和坏人在同一个ASN上共存，这会产生意想不到的后果。
答案 1 :(得分：1)
我猜猜子网是000.000.XXX.XXX，其中X's可以是一个0？
假设你有：
ban = ['162.210.197.58/32', '36.72.31.198/34', ..., '134.35.42.49/20', '176.65.117.81/32']
使用set comprehension确保您只获得唯一元素：
subnets = {'.'.join(addr.split('.')[:2]) + '.0.0/' + addr.split('/')[-1] for addr in ban}
你得到：
>>> subnets
{'162.210.0.0/32', '36.72.0.0/34', ..., '134.35.0.0/20'}
答案 2 :(得分：1)
如果IP地址存储为列表并且是字符串类型，这里有一个非常简单的解决方案来重置所有子网，然后同时在另一个条件下留下重复项。也许是慢代码，但功能代码。
data = ['162.210.197.58', '36.72.121.146', '36.72.121.4', '162.210.108.4', '190.5.140.90']
tmp = []
for ip in data:
ip1, ip2, ip3, ip4 = ip.split('.')
if (ip1 + '.' + ip2 + '.0.0') not in tmp:
tmp.append(ip1 + '.' + ip2 + '.0.0')
data = tmp
print(data)
另一个例子：
data = ['162.210.197.58', '36.72.121.146', '36.72.121.4', '162.210.108.4', '190.5.140.90']
msk = 1 # range 1-3, how much bytes do you want set to zero, from right side (in IP address)
tmp = []
for ip in data:
s = '.'.join(ip.split('.')[:-msk]) + ('.0'*msk) # split the string by '.' delimiter, then combine all to back but without msk entries from the right side, then add string '.0' repeated msk times
if s not in tmp:
tmp.append(s)
data = tmp
print(data)
注意：
最好将IP地址保留为整数数据类型（因为Python不知道字节数据类型）。那么任何IP地址操作都将非常简单快捷。逻辑运算NOR，XOR，OR，AND等（根据需要），您可以使用掩码在计算机网络的专业领域中完成所需的一切。当然，这取决于可寻址IP地址字段的长度 - 正如上面提到的同事一样。如果最常用的标准长度是16位（2字节）或24位（3字节），那么我的代码就足够了。但是，如果位中的长度是非标准的（26位，12位，10位等），那么最好从字符串IP地址设置整数类型，并进一步处理已经为IPv4长度的IP地址估计，这是4字节操作XOR，AND，OR，...）。
答案 3 :(得分：0)
这将为您提供24位前缀和出现次数。 defaultdict用于在缺少密钥时自动在字典中插入0，使代码更简单。
data = ['162.210.197.58', '36.72.31.198'] #etc....
import collections
subnets = collections.defaultdict(int)
for ip in data:
subnets[".".join(ip.split('.')[0:3])] += 1
print(subnets)