利用python 实现模拟登陆网站，并破解滑块登陆

缘由

起因是一次需求。我想对某个视频网站模拟登陆！！！
本文使用senenium +python+相应的模块
可能你需要安装cv2,可以直接调用下面语句：

pip install opencv-python

模拟登陆的是头条：

代码如下

from selenium.webdriver import ActionChains
from selenium import webdriver
from selenium.webdriver.common.by import By
import time, requests
import cv2
from PIL import Image,ImageEnhance
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from io import BytesIO
import numpy as np
#首先定义一个破解滑块的类，这个是重点请仔细看
class Crackslide( ):
"""
通过浏览器截图，识别验证码中缺口位置，获取需要滑动距离，并模仿人类行为破解滑动验证码
"""
def __init__(self):
super(Crackslide,self).__init__()
self.url = 'https://sso.toutiao.com/login/?service=https://mp.toutiao.com/sso_confirm/?redirect_url=JTJGcHJvZmlsZV92MyUyRnhpZ3VhJTJGdXBsb2FkLXZpZGVv'#这就是你想登陆的网站，要自己输入
self.driver = webdriver.Chrome
self.wait = WebDriverWait(self.driver,20)
self.zoom=2

def open(self):
self.driver.get(self.url)
#定义一个获得目标图片和滑动模块的图片的获得
def get_pic(self):
time.sleep(2)
target = browser.find_element_by_id("validate-big")
template = browser.find_element_by_class_name("validate-block")
target_link = target.get_attribute('src')
template_link = template.get_attribute('src')
target_img = Image.open(BytesIO(requests.get(target_link).content))
template_img = Image.open(BytesIO(requests.get(template_link).content))
target_img.save('target.jpg')
template_img.save('template.png')
size_orign = target.size
local_img = Image.open('target.jpg')
size_loc = local_img.size
self.zoom=320 / int(size_loc[0])
#定义等下行走的路径，用于模拟人类拖动滑块的行为
def get_tracks(self,distance):
print(distance)
distance+=20
v=0
t=0.2
forward_tracks = []
current = 0
mid = distance *3/5
while current < distance:
if current<mid:
a = 2
else:
a = -3
s = v * t +0.5 * a *(t**2)
v = v + a * t
current+=s
forward_tracks.append(round(s))
back_track = [-3,-3,-2,-2,-2,-2,-2,-1,-1,-1]
return {'forward_tracks':forward_tracks,'back_tracks':back_track}
#把图片转化成矩阵，为上一个模拟路径提供相应的参数
def match(self, target, template):
img_rgb = cv2.imread(target)
img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
template = cv2.imread(template, 0)
run = 1
w, h = template.shape[::-1]
print(w, h)
res = cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED)

# 使用二分法查找阈值的精确值
L = 0
R = 1
while run < 20:
run += 1
threshold = (R + L) / 2
if threshold < 0:
print('Error')
return None
loc = np.where(res >= threshold)
# print(len(loc[1]))
if len(loc[1]) > 1:
L += (R - L) / 2
elif len(loc[1]) == 1:
print('目标区域起点x坐标为：%d' % loc[1][0])
break
elif len(loc[1]) < 1:
R -= (R - L) / 2

return loc[1][0]
#开始模拟匹配
def crack_slider(self, browser):
# self.open()
target = 'target.jpg'
template = 'template.png'
self.get_pic()
distance = self.match(target, template)
zoo = 1  # 缩放系数，需要自己调整大小
tracks = self.get_tracks((distance + 4) * zoo)  # 对位移的缩放计算
# print(tracks)
slider = browser.find_element_by_class_name("drag-button")
ActionChains(browser).click_and_hold(slider).perform()

for track in tracks['forward_tracks']:
ActionChains(browser).move_by_offset(xoffset=track, yoffset=0).perform()

time.sleep(0.5)
for back_tracks in tracks['back_tracks']:
ActionChains(browser).move_by_offset(xoffset=back_tracks, yoffset=0).perform()

ActionChains(browser).move_by_offset(xoffset=-3, yoffset=0).perform()
ActionChains(browser).move_by_offset(xoffset=3, yoffset=0).perform()
time.sleep(0.5)
ActionChains(browser).release().perform()
try:
failure = WebDriverWait(browser, 5).until(
EC.text_to_be_present_in_element((By.ID, 'validate-prompt'), '按住左边按钮拖动完成上方拼图'))
print(failure)
except:
print('验证成功')
return None

if failure:
self.crack_slider(browser)

browser = webdriver.Chrome()
#下面的url以及相应的id,class要从你选区的网站你自己去找！！
url='https://sso.toutiao.com/login/?service=https://mp.toutiao.com/sso_confirm/?redirect_url=JTJGcHJvZmlsZV92MyUyRnhpZ3VhJTJGdXBsb2FkLXZpZGVv'#你想要登陆的网址
browser.get(url)
browser.find_element_by_class_name('login-type-icon').click()
browser.find_element_by_id("user-name").send_keys("你的账号")
time.sleep(1)
browser.find_element_by_id("password").send_keys("你的密码")
browser.find_element_by_id("bytedance-login-submit").click()
c=Crackslide()
c.crack_slider(browser)

重点

要注意关于上方zoo的调解，才能到达想要的匹配结果