Python+selenium破解拼圖驗證碼的腳本
實現(xiàn)思路
很多網(wǎng)站都有拼圖驗證碼
1.首先要了解拼圖驗證碼的生成原理
2.制定破解計劃,考慮其可能性和成功率。
3.編寫腳本
很多網(wǎng)站的拼圖驗證碼都是直接借助第三方插件,也就是一類一種解法。
筆者遇到的這種拼圖驗證碼實際上是多個小碎片經(jīng)過重新組合成的一張整體,首先要在網(wǎng)站上抓取這種小碎片圖片并下載到本地
我們先捋一捋大體思路:
獲取所有碎片圖片----找出他們的排列順序邏輯-----找出他們中含有顏色深的真正位置的那個小碎塊的序號-----根據(jù)每塊碎片的寬度和上下和這個深色小塊的序號算出距離----用selenium向右移動滑塊到這個距離
核心代碼
先導(dǎo)入必要的包:
# -*- coding:utf-8 -*- import colorsys import urllib,os,uuid,re,time from PIL import Image from selenium.webdriver.common.action_chains import ActionChains from selenium import webdriver
抓到并下載到本地
def create(locapath,fileName):
filePath=locapath+'/'+fileName
if not os.path.exists(filePath):
file=open(filePath,'a+')
file.close()
return filePath
def downloadImg():
list = openBrowser()
for i in range(2):
fileName = str(i) + '_test.jpg'
urllib.urlretrieve(list[i], create('/Users/zijiawang/Downloads/', fileName)) #下載到本地
time.sleep(3)
def openBrowser():
global wzj
wzj = webdriver.Firefox()
wzj.get('https://。。。。')
image1_url = wzj.find_elements_by_class_name('gt_cut_bg_slice')[0].get_attribute('style')
image1_url=image1_url[23:-38]
image2_url = wzj.find_elements_by_class_name('gt_cut_fullbg_slice')[0].get_attribute('style')
image2_url=image2_url[23:-38]
return [image1_url,image2_url]
分割并獲取rgb顏色
ef getcolor(image):
list = [[x,y] for x in range(26) for y in range(2)]
listt = []
colors = []
for i in range(len(list)):
l = list[i][0]*12+12
w = list[i][1]*58+58
listt.append([12*0.25+i/2*12, 58*0.25+((i+10)%2)*58])
listt.append([12*0.25+i/2*12, 58*0.75+((i+10)%2)*58])
listt.append([12*0.75+i/2*12, 58*0.25+((i+10)%2)*58])
listt.append([12*0.75+i/2*12, 58*0.75+((i+10)%2)*58])
for i in range(len(listt)):
colors.append(image[listt[i][0],listt[i][1]])
return colors找出不同的小碎片序號
def getDeferent():
deferent = []
for i in range(208):
if abs(color1[i][2] - color2[i][2]) >20:
print u'B差值: ',color1[i][2]-color2[i][2]
deferent.append(i)
# print ([i,abs(color1[i][0] - color2[i][0]),abs(color1[i][1] - color2[i][1]),abs(color1[i][2] - color2[i][2])])
return deferent
def getUPDOWN():
deferent = getDeferent()
xlist = []
ylist = []
for i in deferent:
if (i / 4) % 2 == 0:
xlist.append(i)
else:
ylist.append(i)
uplist = []
downlist = []
for i in xlist:
uplist.append(i / 4)
for i in ylist:
downlist.append(i / 4)
for i in range(len(uplist)):
uplist[i] /= 2
for i in range(len(downlist)):
downlist[i] /= 2
func = lambda x, y: x if y in x else x + [y]
up = reduce(func, [[], ] + uplist)
func = lambda x, y: x if y in x else x + [y]
down = reduce(func, [[], ] + downlist)
return up,down編寫好排列方法,會用的
def bubble(l):
for index in range(len(l) - 1, 0 , -1):
for two_index in range(index):
if l[two_index] > l[two_index + 1]:
l[two_index], l[two_index + 1] = l[two_index + 1], l[two_index]
return l最后的進(jìn)行解析,拼裝源碼
def end():
orders = getUPDOWN()
orderx = orders[0]
ordery = orders[1]
print 'x:',orderx
print 'y:',ordery
orderX = [145, 157, 277, 265, 169, 181, 253, 241, 97, 109, 301, 289, 73, 85, 37, 25, 1, 13, 133, 121, 49, 61, 229,
217, 193, 205]
orderY = [157, 145, 265, 277, 181, 169, 241, 253, 109, 97, 289, 301, 85, 73, 25, 37, 13, 1, 121, 133, 61, 49, 217,
229, 205, 193]
print u'X:',orderX
print u'Y:',orderY
for x in range(26):
orderX[x] -= 1
orderX[x] /= 12
for y in range(26):
orderY[y] -= 1
orderY[y] /= 12
endX = []
endY = []
for i in range(len(orderX)):
for j in range(len(orderx)):
if orderx[j] == orderX[i]:
endX.append(i)
break
for i in range(len(orderY)):
for j in range(len(ordery)):
if ordery[j] == orderY[i]:
endY.append(i)
break
print 'endx:',endX
print 'endy:',endY
os.remove('/Users/zijiawang/Downloads/0_test.jpg')
os.remove('/Users/zijiawang/Downloads/1_test.jpg')
all = []
all = endX+endY
# print 'all:',all
#系統(tǒng)最多可實驗5次
func = lambda x, y: x if y in x else x + [y]
all_old = reduce(func, [[], ] + all)
# print 'all_old:',all_old
all_end =bubble(all_old)
print 'all_end:',all_end
duandata = 1000
for i in range(1,len(all_end)):
if all_end[i]-1 in all_end:
pass
else:
duandata = all_end[i]
print u'斷點為:',duandata
guess =[]
if duandata != 1000:
if endX != [] and endY!=[]:
print u'斷點1'
guess = [duandata,all_end[0]]
elif endX ==[]:
print u'斷點2'
guess = [duandata, endY[0]]
elif endY == []:
print u'斷點3'
guess = [duandata, endX[0]]
else:
print u'無斷點'
guess = [ all_end[0]]
end_guess =[]
print u'猜測的點:',guess
for i in guess:
end_guess.append(i * 12 - 38)
end_guess.append(i * 12 - 28)
end_guess.append(i * 12 - 20)
end_guess.append(i * 12 - 17)
end_guess.append(i * 12 - 15)
print u'猜測的位移量: ',end_guess
return end_guess主函數(shù)
if __name__ == '__main__':
downloadImg()
color1 = getcolor(Image.open('/Users/zijiawang/Downloads/0_test.jpg').load())
color2 = getcolor(Image.open('/Users/zijiawang/Downloads/1_test.jpg').load())
guess = end()
for i in guess:
print i,wzj.title
try:
ele = wzj.find_element_by_xpath('//div[@class="gt_slider_knob gt_show"]')
except:
ele = wzj.find_element_by_xpath('//div[@class="gt_slider_knob gt_show moving"]')
ActionChains(wzj).click_and_hold(ele).perform()
ActionChains(wzj).move_to_element_with_offset(ele, 0,i).perform()因每個網(wǎng)站的都大同小異,這里不寫具體測試的網(wǎng)站了,以免對其造成壓力。此算法屬于高度定制的,應(yīng)用其他網(wǎng)站需要改些參數(shù),但是代碼注釋較小。需要注釋,不明白的地方請留言哈。

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