很多网站都有拼图验证码1。首先要了解拼图验证码的生成原理

2。制定破解计划，考虑其可能性和成功率。

3。编写脚本

很多网站的拼图验证码都是直接借助第三方插件，也就是一类一种解法。

笔者遇到的这种拼图验证码实际上是多个小碎片经过重新组合成的一张整体，首先要在网站上抓取这种小碎片图片并下载到本地

我们先捋一捋大体思路：

获取所有碎片图片----找出他们的排列顺序逻辑-----找出他们中含有颜色深的真正位置的那个小碎块的序号-----根据每块碎片的宽度和上下和这个深色小块的序号算出距离----用selenium向右移动滑块到这个距离

直接上代码

先导入必要的包：

# -*- coding:utf-8 -*-import colorsysimport urllib,os,uuid,re,timefrom PIL import Imagefrom selenium.webdriver.common.action_chains import ActionChainsfrom selenium import webdriver

抓到并下载到本地

def create(locapath,fileName): filePath=locapath+'/'+fileName if not os.path.exists(filePath): file=open(filePath,'a+') file.close() return filePathdef downloadImg(): list = openBrowser() for i in range(2): fileName = str(i) + '_test.jpg' urllib.urlretrieve(list[i], create('/Users/zijiawang/Downloads/', fileName)) #下载到本地 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]

分割并获取rgb颜色

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号

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 deferentdef 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

编写好排列方法，会用的

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

最后的进行解析，拼装源码

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 #系统最多可实验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'断点为:',duandata guess =[] if duandata != 1000: if endX != [] and endY!=[]: print u'断点1' guess = [duandata,all_end[0]] elif endX ==[]: print u'断点2' guess = [duandata, endY[0]] elif endY == []: print u'断点3' guess = [duandata, endX[0]] else: print u'无断点' guess = [ all_end[0]] end_guess =[] print u'猜测的点:',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'猜测的位移量: ',end_guess return end_guess

主函数

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()

因每个网站的都大同小异，这里不写具体测试的网站了，以免对其造成压力。此算法属于高度定制的，应用其他网站需要改些参数，但是代码注释较小。需要注释，不明白的地方请留言哈。