from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from PIL import Image
import time
def get_snap(driver):
driver.save_screenshot('full_snap.png')
page_snap_obj=Image.open('full_snap.png')
return page_snap_obj
def get_image(driver):
img=driver.find_element_by_class_name('geetest_canvas_img')
time.sleep(2)
location=img.location
size=img.size
left=location['x']
top=location['y']
right=left+size['width']
bottom=top+size['height']
page_snap_obj=get_snap(driver)
image_obj=page_snap_obj.crop((left,top,right,bottom))
# image_obj.show()
return image_obj
def get_distance(image1,image2):
start=57
threhold=60
for i in range(start,image1.size[0]):
for j in range(image1.size[1]):
rgb1=image1.load()[i,j]
rgb2=image2.load()[i,j]
res1=abs(rgb1[0]-rgb2[0])
res2=abs(rgb1[1]-rgb2[1])
res3=abs(rgb1[2]-rgb2[2])
# print(res1,res2,res3)
if not (res1 < threhold and res2 < threhold and res3 < threhold):
return i-7
return i-7
def get_tracks(distance):
distance+=20 #先滑过一点,最后再反着滑动回来
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))
#反着滑动到准确位置
back_tracks=[-3,-3,-2,-2,-2,-2,-2,-1,-1,-1] #总共等于-20
return {'forward_tracks':forward_tracks,'back_tracks':back_tracks}
def crack(driver): #破解滑动认证
# 1、点击按钮,得到没有缺口的图片
button = driver.find_element_by_class_name('geetest_radar_tip')
button.click()
# 2、获取没有缺口的图片
image1 = get_image(driver)
# 3、点击滑动按钮,得到有缺口的图片
button = driver.find_element_by_class_name('geetest_slider_button')
button.click()
# 4、获取有缺口的图片
image2 = get_image(driver)
# 5、对比两种图片的像素点,找出位移
distance = get_distance(image1, image2)
# 6、模拟人的行为习惯,根据总位移得到行为轨迹
tracks = get_tracks(distance)
print(tracks)
# 7、按照行动轨迹先正向滑动,后反滑动
button = driver.find_element_by_class_name('geetest_slider_button')
ActionChains(driver).click_and_hold(button).perform()
for track in tracks['forward_tracks']:
ActionChains(driver).move_by_offset(xoffset=track, yoffset=0).perform()
time.sleep(0.5)
for back_track in tracks['back_tracks']:
ActionChains(driver).move_by_offset(xoffset=back_track, yoffset=0).perform()
# 小范围震荡一下,进一步迷惑极验后台,这一步可以极大地提高成功率
ActionChains(driver).move_by_offset(xoffset=-3, yoffset=0).perform()
ActionChains(driver).move_by_offset(xoffset=3, yoffset=0).perform()
time.sleep(0.5)
ActionChains(driver).release().perform()
def login_cnblogs(username,password):
driver = webdriver.Chrome()
try:
# 1、输入账号密码回车
driver.implicitly_wait(3)
driver.get('https://passport.cnblogs.com/user/signin')
input_username = driver.find_element_by_id('input1')
input_pwd = driver.find_element_by_id('input2')
signin = driver.find_element_by_id('signin')
input_username.send_keys(username)
input_pwd.send_keys(password)
signin.click()
# 2、破解滑动认证
crack(driver)
time.sleep(10) # 睡时间长一点,确定登录成功
finally:
driver.close()
if __name__ == '__main__':
login_cnblogs(username='xxx',password='xxxx')