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基于Python自动登录QQ空间过滑块验证

时间:2020-11-30 10:57:40

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基于Python自动登录QQ空间过滑块验证

用的是bs4+selenium

我写的是读取excel表格获取账号密码,也可以自己写死,在这个基础上改一下即可

import osimport randomfrom datetime import datetimefrom urllib.request import urlretrievefrom PIL import Imageimport openpyxl as openpyxlfrom selenium import webdriverfrom time import sleepimport requestsfrom bs4 import BeautifulSoupfrom selenium.webdriver import ActionChainsimport loggingurl = "https://user./649953543/"# url = "/ip"chrome_driver = "C:/Program Files/Google/Chrome/Application/chromedriver.exe"file_url = "D:/文件/QQ资料.xlsx"qq_ok = 0qq_err = 0err_qq = []def load_file():workbook = openpyxl.load_workbook(file_url, data_only=True)worksheet = workbook['Sheet1']x_column = worksheet['B']x_len = len(x_column) # 获取X轴长度qq = [None] * (x_len - 1) # 定义数组长度tag_x = 0for i in range(x_len)[1:]:qq[tag_x] = x_column[i].valuetag_x += 1y_column = worksheet['C']y_len = len(y_column) # 获取Y轴长度pwd = [None] * (y_len - 1) # 定义数组长度tag_y = 0for i in range(y_len)[1:]:pwd[tag_y] = y_column[i].valuetag_y += 1return qq, pwddef login(qq, pwd):chromeOptions = webdriver.ChromeOptions()driver = webdriver.Chrome(executable_path=chrome_driver, options=chromeOptions)driver.delete_all_cookies()# 设置浏览器窗口的位置和大小# driver.minimize_window()driver.set_window_position(20, 40)driver.set_window_size(1100, 700)# 打开一个页面(QQ空间登录页)driver.get(url)# 登录表单在页面的框架中,所以要切换到该框架driver.switch_to.frame("login_frame")# 通过使用选择器选择到表单元素进行模拟输入和点击按钮提交driver.find_element_by_id("switcher_plogin").click()driver.find_element_by_id("u").clear()driver.find_element_by_id("u").send_keys(qq)driver.find_element_by_id("p").clear()driver.find_element_by_id("p").send_keys(pwd)sleep(1)driver.find_element_by_id("login_button").click()sleep(3)tag = Truefor i in range(60):if login_status(driver):sj = random.randint(1, 5)sleep(sj)tag = Falsebreaksleep(1)if tag:global err_qqerr_qq.append(qq)print("登录失败")logging.info(str(datetime.now()) + "--->登录失败")driver.quit()# 判断是否进入主页# login_success(driver)returndef login_status(driver):tag = Falsetry:a = driver.switch_to.frame("tcaptcha_iframe") # 切换到iframeexcept Exception as e:e = Nonetry:a = driver.find_element_by_id("tcaptcha_drag_thumb")if a is not None:Tencent().pj(driver)except Exception as e:e = Nonetry:a = driver.find_element_by_class_name("link-text")print("登录成功")logging.info(str(datetime.now()) + "--->登录成功")global qq_okqq_ok += 1tag = Trueexcept Exception as e:e = Nonereturn tag# 关闭其他应用程序# pro_name:将要关闭的程序def end_program(pro_name):os.system('%s%s' % ("taskkill /F /IM ", pro_name))print("结束进程:", pro_name)logging.info(str(datetime.now()) + "--->结束进程:" + str(pro_name))class Tencent():def get_img(self):"""获取验证码阴影图和原图:return:"""# driver.switch_to.frame('tcaptcha_iframe')# 获取有阴影的图片src = self.driver.find_element_by_id('slideBg').get_attribute('src')# 分析图片地址,发现原图地址可以通过阴影图地址改动获取 只需要修改一下图片路径中的index# print(src)src_bg = src.replace('index=1', 'index=0')src_bg = src_bg.replace('img_index=1', 'img_index=0')# print(src_bg)# 将图片下载到本地urlretrieve(src, 'img1.png')urlretrieve(src_bg, 'img2.png')# 读取本地图片captcha1 = Image.open('img1.png')captcha2 = Image.open('img2.png')if captcha1 and captcha2 is not None:print("验证码读取完成")logging.info(str(datetime.now()) + "--->验证码读取完成")return captcha1, captcha2def resize_img(self, img):"""下载的图片把网页中的图片进行了放大,所以将图片还原成原尺寸:param img: 图片:return: 返回还原后的图片"""# 通过本地图片与原网页图片的比较,计算出的缩放比例 原图(680x390)缩小图(280x161)a = 2.428(x, y) = img.sizex_resize = int(x // a)y_resize = int(y // a)"""Image.NEAREST :低质量Image.BILINEAR:双线性Image.BICUBIC :三次样条插值Image.ANTIALIAS:高质量"""img = img.resize((x_resize, y_resize), Image.ANTIALIAS)return imgdef is_pixel_equal(self, img1, img2, x, y):"""比较两张图片同一点上的像数值,差距大于设置标准返回False:param img1: 阴影图:param img2: 原图:param x: 横坐标:param y: 纵坐标:return: 是否相等"""pixel1, pixel2 = img1.load()[x, y], img2.load()[x, y]sub_index = 100# 比较RGB各分量的值if abs(pixel1[0] - pixel2[0]) < sub_index and abs(pixel1[1] - pixel2[1]) < sub_index and abs(pixel1[2] - pixel2[2]) < sub_index:return Trueelse:return Falsedef get_gap_offset(self, img1, img2):"""获取缺口的偏移量"""distance = 70for i in range(distance, img1.size[0]):for j in range(img1.size[1]):# 两张图片对比,(i,j)像素点的RGB差距,过大则该x为偏移值if not self.is_pixel_equal(img1, img2, i, j):distance = ireturn distancereturn distancedef get_track(self, distance):"""计算滑块的移动轨迹"""# 通过观察发现滑块并不是从0开始移动,有一个初始值distance -= 30a = distance / 4track = [a, a, a, a]return trackdef shake_mouse(self):"""模拟人手释放鼠标抖动"""ActionChains(self.driver).move_by_offset(xoffset=-2, yoffset=0).perform()ActionChains(self.driver).move_by_offset(xoffset=2, yoffset=0).perform()def operate_slider(self, track):"""拖动滑块当你调用ActionChains的方法时,不会立即执行,而是会将所有的操作按顺序存放在一个队列里,当你调用perform()方法时,队列中的时间会依次执行。:param track: 运动轨迹:return:"""# 定位到拖动按钮slider_bt = self.driver.find_element_by_xpath('//div[@class="tc-drag-thumb"]')# 点击拖动按钮不放ActionChains(self.driver).click_and_hold(slider_bt).perform()# 按正向轨迹移动# move_by_offset函数是会延续上一步的结束的地方开始移动print("正在滑动")logging.info(str(datetime.now()) + "--->正在滑动")for i in track:ActionChains(self.driver).move_by_offset(xoffset=i, yoffset=0).perform()sleep(random.random() / 100) # 每移动一次随机停顿0-1/100秒之间骗过了极验,通过率很高sleep(random.random())# 按逆向轨迹移动back_tracks = [-1, -0.5, -1]for i in back_tracks:sleep(random.random() / 100)ActionChains(self.driver).move_by_offset(xoffset=i, yoffset=0).perform()# 模拟人手抖动self.shake_mouse()sleep(random.random())# 松开滑块按钮ActionChains(self.driver).release().perform()def pj(self, driver):self.driver = drivera, b = self.get_img()a = self.resize_img(a)b = self.resize_img(b)distance = self.get_gap_offset(a, b)track = self.get_track(distance)self.operate_slider(track)if __name__ == '__main__':logging.basicConfig(filename='qqkj.log', level=logging.INFO)logging.info(str(datetime.now()) + "--->开始运行")oldtime = datetime.now()qq, pwd = load_file()for i in range(len(qq)):print("QQ:", qq[i], "密码:", pwd[i])logging.info(str(datetime.now()) + "--->QQ:" + str(qq[i]) + "密码:" + str(pwd[i]))login(qq[i], pwd[i])qq_err = len(qq) - qq_oknewtime = datetime.now()date1 = newtime - oldtimeend_program("chromedriver.exe")print("运行完成!成功", qq_ok, "个---失败", qq_err, "个 共用时", date1.seconds, "秒")logging.info(str(datetime.now()) + "--->运行完成!成功" + str(qq_ok) + "个---失败" + str(qq_err) + "个 共用时" + str(date1.seconds) + "秒")if qq_err > 0:print("失败的QQ号:", err_qq)logging.info(str(datetime.now()) + "--->失败的QQ号:" + str(err_qq))

以上内容均为原创,只是把github上的项目拿过来了而已

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