腾讯防水墙滑动验证码破解
- 使用OpenCV库
- 成功率大概90%左右：在实际应用中，登录后可判断当前页面是否有登录成功才会出现的信息：比如用户名等。循环
- 验证码地址：https://open.captcha.qq.com/online.html
- 破解 腾讯滑动验证码
- 腾讯防水墙
-
python + seleniuum + cv2
来吧 结果展示:
image
这里有一点很有意思
如果滑动过快或者滑动的又精确又快的话，有时会解锁不成功，所以这里使用了 模拟人滑动的方法：
加速度，多滑，划回来等 各种操作，各位也可以多试试。
def get_track(distance):
"""
模拟轨迹 假装是人在操作
:param distance:
:return:
"""
# 初速度
v = 0
# 单位时间为0.2s来统计轨迹，轨迹即0.2内的位移
t = 0.2
# 位移/轨迹列表，列表内的一个元素代表0.2s的位移
tracks = []
# 当前的位移
current = 0
# 到达mid值开始减速
mid = distance * 7 / 8
distance += 10 # 先滑过一点，最后再反着滑动回来
# a = random.randint(1,3)
while current < distance:
if current < mid:
# 加速度越小，单位时间的位移越小,模拟的轨迹就越多越详细
a = random.randint(2, 4) # 加速运动
else:
a = -random.randint(3, 5) # 减速运动
# 初速度
v0 = v
# 0.2秒时间内的位移
s = v0 * t + 0.5 * a * (t ** 2)
# 当前的位置
current += s
# 添加到轨迹列表
tracks.append(round(s))
# 速度已经达到v,该速度作为下次的初速度
v = v0 + a * t
# 反着滑动到大概准确位置
for i in range(4):
tracks.append(-random.randint(2, 3))
for i in range(4):
tracks.append(-random.randint(1, 3))
return tracks
代码在这里: github代码地址
show you the code!
#!/usr/bin/python
# -*- encoding: utf-8 -*-
'''
企鹅滑动验证模拟登录
python3 + seleniuum + cv2 + numpy
后续优化可使用 pillow 将图片进一步灰度化处理
'''
import ssl
import requests
__doc__ = '小额通登录功能'
__author__ = 'silva'
import os
import cv2
import time
import random
import numpy as np
from PIL import Image
from urllib.request import urlretrieve
# selenium-part
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions
# third-part
from packages import config, util
save_path = os.path.join(config.APP_ROOT, 'data', 'xiaoetong.cookies')
headers = {
# 'upgrade-insecure-requests': '1',
# 'sec-fetch-site': 'none',
# 'sec-fetch-mode': 'navigate',
# 'sec-fetch-user': '?1',
# 'dnt': '1',
'accept-language': 'zh-CN,zh;q=0.9,en;q=0.8',
'accept-encoding': 'gzip, deflate, br',
'if-modified-since': 'Thu, 26 Mar 2020 23:50:00 GMT',
'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3',
'cookie': 'pgv_pvi=2471064576; pgv_pvid=5782002132; RK=ONolY5oif/; ptcz=a47870ca7ab81fada934148d6f51e3b0f277d6392a83da1500c67160e342c143; fp3_id1=1100440A15DCB3607EBA9783B987E536B5B521433EED99ED52A9088B37DA960BFCE46BFDBAAF02D2619C6CC32454932FF3EE; pac_uid=0_5e72d24333325; XWINDEXGREY=0; pgv_info=ssid=s4198525417',
'cache-control': 'max-age=0',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.132 Safari/537.36'
}
class Login(object):
def __init__(self, **kwargs):
# 初始变量信息
self.__init_args__(**kwargs)
# 运行主功能
try:
self.run()
except Exception as e:
util.traceback_info(e)
# 退出浏览器
self.after_quit()
def __init_args__(self, **kwargs):
self.count = "phone_number"
self.pwd = "***"
# 登录链接
self.url = "https://admin.xiaoe-tech.com/login_page?xeuti=ituex#/acount"
@staticmethod
def show(name):
cv2.imshow('Show', name)
cv2.waitKey(0)
cv2.destroyAllWindows()
@staticmethod
def get_postion(chunk, canves):
"""
判断缺口位置
:param chunk: 缺口图片是原图
:param canves:
:return: 位置 x, y
"""
otemp = chunk
oblk = canves
target = cv2.imread(otemp, 0)
template = cv2.imread(oblk, 0)
# w, h = target.shape[::-1]
temp = 'temp.jpg'
targ = 'targ.jpg'
cv2.imwrite(temp, template)
cv2.imwrite(targ, target)
target = cv2.imread(targ)
target = cv2.cvtColor(target, cv2.COLOR_BGR2GRAY)
target = abs(255 - target)
cv2.imwrite(targ, target)
target = cv2.imread(targ)
template = cv2.imread(temp)
result = cv2.matchTemplate(target, template, cv2.TM_CCOEFF_NORMED)
x, y = np.unravel_index(result.argmax(), result.shape)
# print(result.argmax(), [x, y])
return x, y
# # 展示圈出来的区域
# cv2.rectangle(template, (y, x), (y + w, x + h), (7, 249, 151), 2)
# cv2.imwrite("yuantu.jpg", template)
# show(template)
@staticmethod
def get_track(distance):
"""
模拟轨迹 假装是人在操作
:param distance:
:return:
"""
# 初速度
v = 0
# 单位时间为0.2s来统计轨迹，轨迹即0.2内的位移
t = 0.2
# 位移/轨迹列表，列表内的一个元素代表0.2s的位移
tracks = []
# 当前的位移
current = 0
# 到达mid值开始减速
mid = distance * 7 / 8
distance += 10 # 先滑过一点，最后再反着滑动回来
# a = random.randint(1,3)
while current < distance:
if current < mid:
# 加速度越小，单位时间的位移越小,模拟的轨迹就越多越详细
a = random.randint(2, 4) # 加速运动
else:
a = -random.randint(3, 5) # 减速运动
# 初速度
v0 = v
# 0.2秒时间内的位移
s = v0 * t + 0.5 * a * (t ** 2)
# 当前的位置
current += s
# 添加到轨迹列表
tracks.append(round(s))
# 速度已经达到v,该速度作为下次的初速度
v = v0 + a * t
# 反着滑动到大概准确位置
for i in range(4):
tracks.append(-random.randint(2, 3))
for i in range(4):
tracks.append(-random.randint(1, 3))
return tracks
def after_quit(self):
"""
关闭浏览器
:return:
"""
self.driver.quit()
# driver.close()关闭当前窗口
# driver.quit()退出驱动关闭所有窗口
def put_msg(self):
try:
# 获取手机号码输入框
text_box = self.wait.until(
expected_conditions.presence_of_element_located((By.XPATH, '//div[@class="inputBox"]/input')))
text_pwd = self.wait.until(expected_conditions.presence_of_element_located(
(By.XPATH, '//div[@class="passwordWrapper"]/div/input[@type="password"]')))
# 获取发送验证按钮
send_btn = self.wait.until(
expected_conditions.presence_of_element_located((By.XPATH, '//div[@data-sensors="登录_登录页_点击登录"]')))
except Exception as e:
print(e)
raise RuntimeError("获取 手机号码输入框 或者 发送验证按钮 失败，程序结束")
text_box.send_keys(self.count)
text_pwd.send_keys(self.pwd)
try:
action = ActionChains(self.driver)
action.click(send_btn).perform()
except Exception as e:
print(util.traceback_info(e))
return False
def start_dirver(self):
chrome_options = Options()
chrome_options.add_argument('--headless')
chrome_options.add_argument('--no-sandbox')
chrome_options.add_argument('--disable-dev-shm-usage')
self.driver = webdriver.Chrome(chrome_options=chrome_options)
self.driver.maximize_window()
self.wait = WebDriverWait(self.driver, 10)
print('webdriver get: {0}'.format(self.url))
self.driver.get(self.url)
self.wait = WebDriverWait(self.driver, 10)
def save_img(self, file_name, img_url):
print('fetch img: {0}'.format(img_url))
try:
rs = requests.get(img_url, headers=headers, timeout=20)
except Exception as e:
print(e)
time.sleep(0.5)
rs = requests.get(img_url, headers=headers, timeout=20)
content = rs.content
save_path = os.path.join(config.APP_ROOT, 'data', file_name)
with open(save_path, 'wb') as fp:
fp.write(content)
print('保存图片成功')
def run(self):
ssl._create_default_https_context = ssl._create_unverified_context
requests.packages.urllib3.disable_warnings()
self.start_dirver()
# 填写用户信息并点击
self.put_msg()
time.sleep(3)
# 判断是否需要进行验证
if 'muti_index' in self.driver.current_url:
return self.click_into_shop()
else:
self.driver.switch_to.frame(1) # 切换到iframe模块
time.sleep(3)
# 等待图片加载完成
slideBg = self.wait.until(
expected_conditions.presence_of_element_located((By.XPATH, '//div/img[@id="slideBg"]')))
# 判断图片是否加载完成
bk_block = slideBg.get_attribute('src') # 大图 url
if not bk_block:
print('等待图片加载中 ... ')
time.sleep(2)
# 获取背景图
bk_block = self.driver.find_element_by_xpath('//img[@id="slideBg"]') # 大图
web_image_width = bk_block.size['width']
bk_block_x = bk_block.location['x']
# 获取缺口图
slide_block = self.driver.find_element_by_xpath('//img[@id="slideBlock"]') # 小滑块
slide_block_x = slide_block.location['x']
# 保存图片至本地
slide_block_img = slide_block.get_attribute('src')
bk_block_img = bk_block.get_attribute('src')
# 保存图片
img_bg_path = os.path.join(config.APP_ROOT, 'data', 'img_bg.png')
img_slider_path = os.path.join(config.APP_ROOT, 'data', 'img_slider.png')
self.save_img('img_slider.png', slide_block_img)
self.save_img('img_bg.png', bk_block_img)
# 获取web图与示例图的比例
img_bkblock = Image.open(img_bg_path)
real_width = img_bkblock.size[0]
width_scale = float(real_width) / float(web_image_width)
# 计算缺口位置
position = self.get_postion(img_bg_path, img_slider_path)
real_position = position[1] / width_scale
# 减去滑块起始位置的距离
real_position = real_position - (slide_block_x - bk_block_x)
# 获取滑动距轨迹列表
track_list = self.get_track(real_position)
print('滑动轨迹:', int(real_position), track_list)
# print('第一步,获取滑动按钮')
button = self.wait.until(
expected_conditions.presence_of_element_located((By.XPATH, '//div[@class="tc-drag-thumb"]')))
ActionChains(self.driver).click_and_hold(on_element=button).perform() # 点击鼠标左键，按住不放
time.sleep(0.2)
# print('第二步,拖动元素')
for track in track_list:
ActionChains(self.driver).move_by_offset(xoffset=track, yoffset=0).perform() # 鼠标移动到距离当前位置（x,y）
time.sleep(0.002)
# ActionChains(driver).move_by_offset(xoffset=-random.randint(0, 1), yoffset=0).perform() # 微调，根据实际情况微调
time.sleep(0.5)
# print('第三步,释放鼠标')
ActionChains(self.driver).release(on_element=button).perform()
time.sleep(3)
# 进入店铺激活usr_token 保存cookie
return self.click_into_shop()
def click_into_shop(self):
'''进入店铺激活user_token'''
try:
shop = self.wait.until(expected_conditions.presence_of_element_located((By.XPATH, '//a[@class="shop-list-item shop-list-item__active"]')))
ActionChains(self.driver).click(shop).perform()
except Exception as e:
print(util.traceback_info(e))
return False
print('等待3秒 ...')
time.sleep(3)
if '/index' in self.driver.current_url:
return self.catch_cookies()
return False
def catch_cookies(self):
'''
成功缓存当前cookeis
不成功 退出
'''
cookies = self.driver.get_cookies()
_cookie_dict = {}
for vo in cookies:
_cookie_dict[vo['name']] = vo['value']
# 保存cookie
util.file(save_path, _cookie_dict)
print('更新cookies成功')
return True
if __name__ == '__main__':
login = Login().run()