Python_day08
作者：互联网
破解极验验证：
''''''
'''
破解极验滑动验证
博客园登录url:
https://account.cnblogs.com/signin?returnUrl=https%3A%2F%2Fwww.cnblogs.com%2F
1、输入用户名与密码，并点击登录
2、弹出滑动验证，获取有缺口与完整的图片
3、通过像素点进行比对，获取滑动位移距离
4、模拟人的行为轨迹
5、开始滑动
'''
from selenium import webdriver # 用来驱动浏览器的
from selenium.webdriver import ActionChains # 破解滑动验证码的时候用的 可以拖动图片
import time
from PIL import Image # pip3 install pillow
import random
option = webdriver.ChromeOptions()
option.add_argument('disable-infobars')
driver = webdriver.Chrome(chrome_options=option)
def get_snap(driver):
# selenium自带的截图网页全屏图片
driver.save_screenshot('snap.png')
img = driver.find_element_by_class_name('geetest_canvas_img')
left = img.location['x']
upper = img.location['y']
right = left + img.size['width']
lower = upper + img.size['height']
# print(left, upper, right, lower)
img_obj = Image.open('snap.png')
# 对屏幕进行截取,获取滑动验证图片
image = img_obj.crop((left, upper, right, lower))
return image
def get_image1(driver):
time.sleep(0.2)
js_code = '''
var x = document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="block";
console.log(x)
'''
time.sleep(1)
driver.execute_script(js_code)
# 截取图片
img_obj = get_snap(driver)
return img_obj
def get_image2(driver):
time.sleep(0.2)
js_code = '''
var x = document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="none";
console.log(x)
'''
driver.execute_script(js_code)
time.sleep(1)
# 截取图片
img_obj = get_snap(driver)
return img_obj
def get_distance(image1, image2):
# 初始值
start = 60
# 滑块色差
color_num = 60
for x in range(start, image1.size[0]):
for y in range(image1.size[1]):
rgb1 = image1.load()[x, y]
rgb2 = image2.load()[x, y]
r = abs(rgb1[0] - rgb2[0])
g = abs(rgb1[1] - rgb2[1])
b = abs(rgb1[2] - rgb2[2])
if not (r < color_num and g < color_num and b < color_num):
return x - 7
def get_stacks(distance):
distance += 20
'''
匀加速\减速运行
v = v0 + a * t
位移:
s = v * t + 0.5 * a * (t**2)
'''
# 初速度
v0 = 0
# 加减速度列表
a_list = [3, 4, 5]
# 时间
t = 0.2
# 初始位置
s = 0
# 向前滑动轨迹
forward_stacks = []
mid = distance * 3 / 5
while s < distance:
if s < mid:
a = a_list[random.randint(0, 2)]
else:
a = -a_list[random.randint(0, 2)]
v = v0
stack = v * t + 0.5 * a * (t ** 2)
# 每次拿到的位移
stack = round(stack)
s += stack
v0 = v + a * t
forward_stacks.append(stack)
back_stacks = [-1, -1, -2, -3, -2, -3, -2, -2, -3, -1]
return {'forward_stacks': forward_stacks, 'back_stacks': back_stacks}
def main():
try:
driver.get('https://passport.cnblogs.com/user/signin')
driver.implicitly_wait(5)
# 1.输入用户名与密码,点击登录
username = driver.find_element_by_id('LoginName')
password = driver.find_element_by_id('Password')
login_button = driver.find_element_by_class_name('ladda-label')
time.sleep(1)
username.send_keys('123123')
time.sleep(1)
password.send_keys('123123.110')
# 这里需要等待账号密码输入完毕后再点击登录按钮，否则的不弹框
time.sleep(1)
login_button.click()
# time.sleep(3)
# 2.点击滑动验证按钮,获取图片
geetest_button = driver.find_element_by_class_name('geetest_slider_button')
geetest_button.click()
time.sleep(0.2)
# 3.针对完整的图片进行截取
image1 = get_image1(driver)
# 4.针对有缺口的图片进行截取
image2 = get_image2(driver)
# 5.对比两张图片,获取滑动距离
distance = get_distance(image1, image2)
# 6.模拟人为滑动轨迹
stacks = get_stacks(distance)
# 7.根据滑动轨迹进行滑动
forward_stacks = stacks['forward_stacks']
back_stacks = stacks['back_stacks']
slider_button = driver.find_element_by_class_name('geetest_slider_button')
time.sleep(0.2)
ActionChains(driver).click_and_hold(slider_button).perform()
time.sleep(0.2)
for forward_stack in forward_stacks:
ActionChains(driver).move_by_offset(xoffset=forward_stack, yoffset=0).perform()
time.sleep(0.1)
for back_stack in back_stacks:
ActionChains(driver).move_by_offset(xoffset=back_stack, yoffset=0).perform()
time.sleep(0.1)
time.sleep(0.2)
ActionChains(driver).move_by_offset(xoffset=5, yoffset=0).perform()
ActionChains(driver).move_by_offset(xoffset=-5, yoffset=0).perform()
ActionChains(driver).release().perform()
time.sleep(50)
finally:
driver.close()
if __name__ == '__main__':
main()
''''''
'''
破解极验滑动验证
博客园登录url:
https://account.cnblogs.com/signin?returnUrl=https%3A%2F%2Fwww.cnblogs.com%2F
1、输入用户名与密码，并点击登录
2、弹出滑动验证，获取有缺口与完整的图片
3、通过像素点进行比对，获取滑动位移距离
4、模拟人的行为轨迹
5、开始滑动
'''
from selenium import webdriver # 用来驱动浏览器的
from selenium.webdriver import ActionChains # 破解滑动验证码的时候用的 可以拖动图片
import time
from PIL import Image # pip3 install pillow
import random
option = webdriver.ChromeOptions()
option.add_argument('disable-infobars')
driver = webdriver.Chrome(chrome_options=option)
def get_snap(driver):
# selenium自带的截图网页全屏图片
driver.save_screenshot('snap.png')
img = driver.find_element_by_class_name('geetest_canvas_img')
left = img.location['x']
upper = img.location['y']
right = left + img.size['width']
lower = upper + img.size['height']
# print(left, upper, right, lower)
img_obj = Image.open('snap.png')
# 对屏幕进行截取,获取滑动验证图片
image = img_obj.crop((left, upper, right, lower))
return image
def get_image1(driver):
time.sleep(0.2)
js_code = '''
var x = document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="block";
console.log(x)
'''
time.sleep(1)
driver.execute_script(js_code)
# 截取图片
img_obj = get_snap(driver)
return img_obj
def get_image2(driver):
time.sleep(0.2)
js_code = '''
var x = document.getElementsByClassName('geetest_canvas_fullbg')[0].style.display="none";
console.log(x)
'''
driver.execute_script(js_code)
time.sleep(1)
# 截取图片
img_obj = get_snap(driver)
return img_obj
def get_distance(image1, image2):
# 初始值
start = 60
# 滑块色差
color_num = 60
for x in range(start, image1.size[0]):
for y in range(image1.size[1]):
rgb1 = image1.load()[x, y]
rgb2 = image2.load()[x, y]
r = abs(rgb1[0] - rgb2[0])
g = abs(rgb1[1] - rgb2[1])
b = abs(rgb1[2] - rgb2[2])
if not (r < color_num and g < color_num and b < color_num):
return x - 7
def get_stacks(distance):
distance += 20
'''
匀加速\减速运行
v = v0 + a * t
位移:
s = v * t + 0.5 * a * (t**2)
'''
# 初速度
v0 = 0
# 加减速度列表
a_list = [3, 4, 5]
# 时间
t = 0.2
# 初始位置
s = 0
# 向前滑动轨迹
forward_stacks = []
mid = distance * 3 / 5
while s < distance:
if s < mid:
a = a_list[random.randint(0, 2)]
else:
a = -a_list[random.randint(0, 2)]
v = v0
stack = v * t + 0.5 * a * (t ** 2)
# 每次拿到的位移
stack = round(stack)
s += stack
v0 = v + a * t
forward_stacks.append(stack)
back_stacks = [-1, -1, -2, -3, -2, -3, -2, -2, -3, -1]
return {'forward_stacks': forward_stacks, 'back_stacks': back_stacks}
def main():
try:
driver.get('https://passport.cnblogs.com/user/signin')
driver.implicitly_wait(5)
# 1.输入用户名与密码,点击登录
username = driver.find_element_by_id('LoginName')
password = driver.find_element_by_id('Password')
login_button = driver.find_element_by_class_name('ladda-label')
time.sleep(1)
username.send_keys('TuLie')
time.sleep(1)
password.send_keys('xymhxxqw.110')
# 这里需要等待账号密码输入完毕后再点击登录按钮，否则的不弹框
time.sleep(1)
login_button.click()
# time.sleep(3)
# 2.点击滑动验证按钮,获取图片
geetest_button = driver.find_element_by_class_name('geetest_slider_button')
geetest_button.click()
time.sleep(0.2)
# 3.针对完整的图片进行截取
image1 = get_image1(driver)
# 4.针对有缺口的图片进行截取
image2 = get_image2(driver)
# 5.对比两张图片,获取滑动距离
distance = get_distance(image1, image2)
# 6.模拟人为滑动轨迹
stacks = get_stacks(distance)
# 7.根据滑动轨迹进行滑动
forward_stacks = stacks['forward_stacks']
back_stacks = stacks['back_stacks']
slider_button = driver.find_element_by_class_name('geetest_slider_button')
time.sleep(0.2)
ActionChains(driver).click_and_hold(slider_button).perform()
time.sleep(0.2)
for forward_stack in forward_stacks:
ActionChains(driver).move_by_offset(xoffset=forward_stack, yoffset=0).perform()
time.sleep(0.1)
for back_stack in back_stacks:
ActionChains(driver).move_by_offset(xoffset=back_stack, yoffset=0).perform()
time.sleep(0.1)
time.sleep(0.2)
ActionChains(driver).move_by_offset(xoffset=5, yoffset=0).perform()
ActionChains(driver).move_by_offset(xoffset=-5, yoffset=0).perform()
ActionChains(driver).release().perform()
time.sleep(50)
finally:
driver.close()
if __name__ == '__main__':
main()
标签：day08,img,get,Python,driver,sleep,time,stacks 来源： https://www.cnblogs.com/TuLie-cs/p/11060100.html