An某客点选加滑块验证Selenium版本

HGG001

新手入门，水平一般，巨佬们多多指教！

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import os import cv2 import time import random import requests import numpy as np from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.chrome.service import Service from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.common.action_chains import ActionChains from selenium.webdriver.support import expected_conditions as EC   ImgLocation = 'img_location'  # 图片存放的位置     def requests_ip():     """     请求代理     :return:Ip:Port     """[/align][align=left] # 这里是获取代理IP的API     res = requests.get('')[/align][align=left]     print(res.text)     return res.text     def save_yzm(driver):     """保存验证码"""     if not os.path.exists(ImgLocation):         os.mkdir(ImgLocation)     bg_img = driver.find_element(By.XPATH, '//*[@id="ISDCaptcha"]/div/div[1]/div[4]/div[1]/div[2]/div/div/div[1]/div[2]').get_attribute('style')       puzzle_img = driver.find_element(By.XPATH, '//*[@id="ISDCaptcha"]/div/div[1]/div[4]/div[1]/div[2]/div/div/div[1]/div[1]/div[1]').get_attribute('style')       img_url = bg_img.split('"')[1]     puzzle_url = puzzle_img.split('"')[1]       # print("验证码背景链接获取成功！", img_url)     # print("验证码缺口链接获取成功！", puzzle_url)     proxy = {         "http": "",         "https": ""     }     content = requests.get(img_url, proxies=proxy).content     with open(f'./{ImgLocation}/bgImgUrl.png', 'wb') as f:         f.write(content)       content1 = requests.get(puzzle_url, proxies=proxy).content     with open(f'./{ImgLocation}/puzzleImgUrl.png', 'wb') as f:         f.write(content1)     def find_puzzle(bg_img_path=f'./{ImgLocation}/bgImgUrl.png', puzzle_img_path=f'./{ImgLocation}/puzzleImgUrl.png'):     """     计算缺口位置     :param bg_img_path: 背景图片     :param puzzle_img_path: 缺口图片     :return: 需要移动的距离     """     img = cv2.imdecode(np.fromfile(bg_img_path, dtype=np.uint8), cv2.IMREAD_COLOR)     tpl = cv2.imdecode(np.fromfile(puzzle_img_path, dtype=np.uint8), cv2.IMREAD_COLOR)       img_gry = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)     _, img_bw = cv2.threshold(img_gry, 127, 255, cv2.THRESH_BINARY)       tpl = cv2.cvtColor(tpl, cv2.COLOR_BGR2GRAY)     for row in range(tpl.shape[0]):         for col in range(tpl.shape[1]):             if tpl[row, col] == 0:                 tpl[row, col] = 96     lower = np.array([96])     upper = np.array([96])     mask = cv2.inRange(tpl, lower, upper)     tpl[mask == 0] = 0     tpl[mask != 0] = 255       result = cv2.matchTemplate(img_bw, tpl, cv2.TM_CCOEFF_NORMED)     _, _, _, max_loc = cv2.minMaxLoc(result)     # 0.8245这个比例是网页上的数据和实际图片大小的比例     distance = int(max_loc[0] * 0.8245) + random.randint(1, 3)     return distance     def generate_track(distance):     """     滑动轨迹拟合     :param distance: 界面上的实际滑动的距离     :return: x轴和y轴的轨迹     """     ratio = distance / 126     # print(ratio)     new_track = []     base_track = ['29,11,0', '29,11,11', '29,11,26', '33,11,56', '34,11,66', '36,11,67', '39,11,76', '41,11,83',                   '43,11,86', '46,11,92', '49,11,98', '50,11,102', '52,11,106', '53,11,111', '55,11,116',                   '57,11,118', '59,11,123', '60,11,126', '62,11,132', '64,12,134', '65,12,138', '66,12,142',                   '68,12,148', '69,12,151', '70,13,155', '71,13,158', '72,13,164', '74,13,166', '75,13,170',                   '76,14,174', '77,14,180', '79,14,182', '81,14,186', '82,14,196', '84,14,198', '86,14,207',                   '87,15,212', '89,15,219', '90,15,223', '92,15,230', '93,15,234', '94,15,239', '95,15,243',                   '98,15,246', '100,15,250', '102,15,260', '105,15,262', '106,15,266', '108,15,270', '109,16,276',                   '111,16,278', '113,16,283', '115,16,286', '117,16,291', '118,16,294', '119,16,298', '121,16,302',                   '123,16,309', '124,16,311', '125,16,315', '126,16,319', '129,16,324', '130,16,327', '131,16,331',                   '132,16,334', '132,16,388', '132,16,522', '133,16,566', '134,16,574', '135,16,575', '136,16,594',                   '137,16,620', '138,16,625', '139,16,652', '140,16,657', '141,17,676', '141,18,680', '142,18,684',                   '143,18,688', '144,18,716', '145,18,724', '146,18,796', '147,19,828', '148,19,860', '149,19,888',                   '149,19,890', '150,19,916', '151,20,932', '152,20,936', '152,20,1021', '153,20,1150', '154,20,1152',                   '155,20,1236', '155,20,1388', '155,20,1522', '155,20,1717']     for track in base_track:         t = track.split(",")         new_track.append((str(int(int(t[0]) * ratio)), str(t[1]), str(int(int(t[2]) * ratio))))     # print("轨迹：", new_track)     # 返回结果为元组     tracks = [(int(x), int(y), int(z)) for x, y, z in new_track]     # 从元组中分离x轴和y轴     anjuke_x = [x[0] for x in tracks]     anjuke_y = [x[1] for x in tracks]     # 计算x轴轨迹偏移量     x_list = [0] + [anjuke_x[i] - anjuke_x[i - 1] for i in range(1, len(anjuke_x))]     # 计算y轴轨迹偏移量     y_list = [0] + [anjuke_y[i] - anjuke_y[i - 1] for i in range(1, len(anjuke_y))]       return x_list, y_list     def drag_slider(url):     # 创建Chromium Options对象     options = webdriver.ChromeOptions()     # 添加Chromium浏览器的可执行文件路径     options.binary_location = ''     # 用户数据目录     options.add_argument("")     # 创建Chromium WebDriver实例     driver = webdriver.Chrome(service=Service(''),                               options=options)     driver.maximize_window()  # 窗口最大化     # 设置超时停止加载     driver.set_page_load_timeout(10)       driver.get(url)     # 等到元素出现在进行操作     wait = WebDriverWait(driver, 10)     wait.until(EC.presence_of_element_located((By.XPATH, '//*[@id="ISDCaptcha"]/div/div[1]/div[1]')))       # 定位点击验证按钮     button = driver.find_element(By.XPATH, '//*[@id="ISDCaptcha"]/div/div[1]/div[1]')     button.click()     time.sleep(2)     wait.until(EC.presence_of_element_located((By.XPATH, '//*[@id="ISDCaptcha"]/div/div[1]/div[4]/div[1]/div[2]/div/div/div[2]/div/div[3]')))     # 定位滑块元素     slider = driver.find_element(By.XPATH, '//*[@id="ISDCaptcha"]/div/div[1]/div[4]/div[1]/div[2]/div/div/div[2]/div/div[3]')     action = ActionChains(driver, 10)       # # 模拟摁住鼠标     action.click_and_hold(slider).perform()     time.sleep(1)     save_yzm(driver)  # 保存验证码     distance = find_puzzle()  # 计算缺口位置     x_list, y_list = generate_track(distance)  # 计算滑块轨迹     for i, _ in enumerate(x_list):         action.move_by_offset(x_list[i], y_list[i]).perform()     time.sleep(0.5)     action.release().perform()     time.sleep(10)     new_url = driver.current_url     print("验证url—直接:", url)     print("跳转url—直接:", new_url)       if new_url != url:         return True     else:         pass         # driver.refresh()         time.sleep(2)         diaoyong(url, driver)     # 关闭浏览器     driver.quit()     def diaoyong(code_url, driver):     # 等到元素出现在进行操作     wait = WebDriverWait(driver, 10)     wait.until(EC.presence_of_element_located((By.XPATH, '//*[@id="ISDCaptcha"]/div/div[1]/div[4]/div[1]/div[2]/div/div/div[2]/div/div[3]')))     # 定位滑块元素     slider = driver.find_element(By.XPATH, '//*[@id="ISDCaptcha"]/div/div[1]/div[4]/div[1]/div[2]/div/div/div[2]/div/div[3]')     action = ActionChains(driver, 10)     # 模拟摁住鼠标     action.click_and_hold(slider).perform()     time.sleep(0.5)     save_yzm(driver)  # 保存验证码     distance = find_puzzle()  # 计算缺口位置     x_list, y_list = generate_track(distance)  # 计算滑块轨迹     for i, _ in enumerate(x_list):         action.move_by_offset(x_list[i], y_list[i]).perform()     time.sleep(0.5)     action.release().perform()     time.sleep(5)     # 验证完成后跳转的url     new_url = driver.current_url     print("验证url—调用:", code_url)     print("跳转url—调用:", new_url)       if new_url != code_url:         return True     else:         time.sleep(2)         diaoyong(code_url, driver)     if __name__ == '__main__':     url = ""     drag_slider(url)

yitoumao

易盾的App的能用吗？

wzh103103

牛的牛的

Onedaya

可以，学习学习

wu1030

收藏了，学习学习

黑猫的猫

牛的，学习一下

ZhouEr

牛啊大佬！

涛之雨

可以补充一些逆向的过程，
一些关键数据是如何计算出来的，（就算是猜，也应该有个方向对吧）

在帮助他人的同时，也记录自己进步的点滴