基于python批量擷取Url

當我們想批量找注入的時候，這是就會想到某些批量Url擷取的軟體，但是可能存在後門，有時又因為玄學問題不運作，這不扯嗎，于是，就幹脆自己寫一個腳本，批量擷取百度的url

腳本如下

# -*- coding: utf-8 -*
from lxml import etree
import requests
import time
import re
import urllib.request
DOMAIN = "https://www.baidu.com/s?wd="
a = input('請輸入url:')
b = int(input('請輸入爬取的頁數:'))
c = int((b-1)*10+1)
for i in range(0,c,10):
    d = str(i)
    url = str((DOMAIN)+ (a)+'&pn='+(d))
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.61 Safari/537.36",
        "Cookie": "PSTM=1553559153; BIDUPSID=C6D409FA9EC7D5299885BCD64A2D7581; BD_UPN=12314753; BAIDUID=3DB37483066A48E00B7DB85820E62534:FG=1; BDUSS=RWSVVnU1FmdnN5RjZlU3dVdVp3WUtKVmxveGxyeXgweC1VN2NFNFdPU29odDFlRVFBQUFBJCQAAAAAAAAAAAEAAABvm2ZAwb2~6TQxAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKj5tV6o-bVeST; BDORZ=B490B5EBF6F3CD402E515D22BCDA1598; H_WISE_SIDS=146309_146484_142019_145945_145118_141744_144117_145332_147279_146537_145931_145838_131247_144681_146574_140259_147346_127969_146551_145971_146749_145418_146653_146732_138425_144375_131423_146802_128699_132550_145318_107311_147136_147231_139910_146824_144966_145607_147046_144535_141911_146056_145397_146796_139914_110085; MSA_WH=1024_639; COOKIE_SESSION=2446_0_8_3_1_49_1_2_8_8_11_11_0_0_0_0_1589534076_0_1590034835%7C9%230_0_1590034835%7C1; BD_HOME=1; H_PS_PSSID=31359_1444_21111_31110_31253_31591_30839_31464_31322_30823_22158; sugstore=1; BDRCVFR[feWj1Vr5u3D]=I67x6TjHwwYf0; delPer=0; BD_CK_SAM=1; PSINO=6; H_PS_645EC=0edc9kEnFUkFUhLzvM7RE4AvR6VriK84EcmjtfgOwssoMhlABFbMhuHJn0bytdJFWB%2FU; BDSVRTM=94",
        "Accept": "*/*",
        "Host": "www.baidu.com",
        "Connection": "close",
        "X-Requested-With": "XMLHttpRequest",
        "is_referer": "https://www.baidu.com/s?ie=utf-8&f=8&rsv_bp=1&rsv_idx=2&tn=baiduhome_pg&wd=inurl%3Aphp%3Fid%3D1&rsv_spt=1&oq=inurl%3Aphp%3Fid%3D1&rsv_pq=ae8be70a0002622b&rsv_t=9a86svqwaticxesYXy%2B5d3RCUlYzYIfZ%2B2xiZqTH2RkAC%2FdzD5mngmpoHpNa5RY%2FKUhR&rqlang=cn",
        "Sec-Fetch-Site": "same-origin",
        "Sec-Fetch-Mode": "cors",
        "Sec-Fetch-Dest": "empty",
        "Referer": "https://www.baidu.com/s?wd=inurl%3Aphp%3Fid%3D1&pn=10&oq=inurl%3Aphp%3Fid%3D1&tn=baiduhome_pg&ie=utf-8&rsv_idx=2&rsv_pq=ae8be70a0002622b&rsv_t=f00dAsDUJz%2FE02JeQPtVp1pyeG9fQGf8BcM7zyKs%2BwK4d%2FTHapk8u04s5YNB4TQtMeoW",
        "Accept-Encoding": "gzip, deflate",
        "Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
    }
    resp = requests.get(url, headers=headers)
    text = resp.text
    html = etree.HTML(text)
    urllinks = html.xpath("//div[@class='f13  se_st_footer']//a/@href")
    for yuanshu in urllinks:
        if yuanshu.startswith('http://www.baidu.com/'):
            r = requests.get(yuanshu)
            fliter1 = '?'
            fliter2 = '404'
            fliter3 = 'shtml'
            fliter4 = 'html'
            answear1 = fliter1 in (r.url)
            answear2 = fliter2 not in (r.url)
            answear3 = fliter3 not in (r.url)
            answear4 = fliter4 not in (r.url)
            time.sleep(0.1)
            if bool(answear1) == True:
                if bool(answear2) == True:
                    if bool(answear3) == True:
                        if bool(answear4) == True:
                            print(r.url)
                            f1 = open("url.txt", "a+", encoding='utf-8')
                            f1.write((r.url)+'\n')
                            f1.close()      

這是運作的結果

然後我們就可以批量放入sqlmap裡頭了

這是sqlmap的效果，雖然一個都沒有跑出來，但是隻是為了測試，大家也可以加點其他參數