52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
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'''
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DNSv6工具包，注意tomorrow3无法在arm架构处理器上使用（m1）
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'''
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import dns.resolver
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import pandas as pd
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import random as rd
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import tomorrow3 as tm
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from tqdm import tqdm
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alphabet = "abcdefghijklmnopqrstuvwxyz1234567890"
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result = pd.DataFrame(columns=["rdns", "result"])
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dot_ressult = pd.DataFrame(columns=["dot", "result"])
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# val负责定位，dataframe指定数据来源
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@tm.threads(200)
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def dnsresolver(val,dataframe):
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characters = "".join(rd.sample(alphabet, 10)) # 生成子域名
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test = dataframe.loc[val, "rdns"]
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reso = dns.resolver.Resolver()
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reso.nameservers = [test]
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reso.timeout = 10
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try:
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AAAA = reso.resolve(characters + ".v4.testv4-v6.live", "AAAA").response
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# result = result.append([[test, AAAA.rcode()]], ignore_index=True)
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return [test,AAAA.rcode()]
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except:
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# result=result.append([[test, 1]], ignore_index=True)
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return [test,1]
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# if __name__=="__main__":
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# mode="main"
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# rdns = pd.read_csv("./res_data/rdns-shandong.csv", names=["rdns"])
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# dot = pd.read_csv("./res_data/853-shandong.csv", names=["dot"])
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# ch_rdns = pd.read_excel("./res_data/全国-递归DNS测量结果.xlsx", names=["rdns", "loc", "company"])
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#
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# for i in tqdm(range(ch_rdns.shape[0])):
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# dnsresolver(i,ch_rdns,result)
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#
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# if (mode == "rdns"):
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# result.to_csv("./result/"+str(2)+"-ch_rdns.csv")
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# else:
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# dot_ressult.to_csv("./result/dot.csv")
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