import timefrom io import BytesIOfrom PIL import Imagefrom selenium import webdriverfrom selenium.webdriver import ActionChainsfrom selenium.webdriver.common.by import Byfrom selenium.webdriver.support.ui import WebDriverWaitfrom selenium.webdriver.support import expected_conditions as ECEMAIL = '小白kill'PASSWORD = ''BORDER = 6class CrackGeetest(): def __init__(self): self.url = 'https://account.cnblogs.com/signin' options = webdriver.ChromeOptions() options.add_experimental_option('excludeSwitches', ['enable-automation']) self.browser = webdriver.Chrome(options=options) self.wait = WebDriverWait(self.browser, 20) self.email = EMAIL self.password = PASSWORD def open(self): ''' 输入账号密码 :return: None ''' self.browser.get(self.url) email = self.wait.until(EC.presence_of_element_located((By.ID,'LoginName'))) email.clear() password = self.wait.until(EC.presence_of_element_located((By.ID,'Password'))) email.send_keys(self.email) password.send_keys(self.password) def login(self): """ 登录 :return: None """ submit = self.wait.until(EC.element_to_be_clickable((By.ID, 'submitBtn'))) submit.click() time.sleep(10) print('登录成功') def get_position(self): ''' 获取验证码位置 :return: 验证码位置元组 ''' img = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME,'geetest_canvas_img'))) time.sleep(2) location = img.location size = img.size print(size['height']) print(size['width']) top,bottom,left,right = location['y'] ,location['y']+size['height'],location['x'],location['x']+size['width'] return (top,bottom,left,right) def get_geetest_image(self,name='captcha.png'): """ 获取验证码图片 :return: 图片对象 """ top, bottom, left, right = self.get_position() print('验证码位置', top, bottom, left, right) screenshot = self.get_screenshot() captcha = screenshot.crop((left, top, right, bottom)) captcha.save(name) return captcha def get_screenshot(self): ''' 网页截图 :return:截图对象 ''' name = int(time.time()) screenshot = self.browser.get_screenshot_as_png() with open("screenshot" + str(name) + ".png", "wb")as f: f.write(screenshot) screenshot = Image.open(BytesIO(screenshot)) return screenshot def get_slider(self): ''' 获取滑块 :return:滑块对象 ''' slider = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME,'geetest_slider_button'))) print(1) return slider def get_gap(self, image1, image2): """ 获取缺口偏移量 :param image1: 不带缺口图片 :param image2: 带缺口图片 :return: """ left = 60 for i in range(left, image1.size[0]): for j in range(image1.size[1]): if not self.is_pixel_equal(image1, image2, i, j): left = i return left return left def is_pixel_equal(self, image1, image2, x, y): """ 判断两个像素是否相同 :param image1: 图片1 :param image2: 图片2 :param x: 位置x :param y: 位置y :return: 像素是否相同 """ # 取两个图片的像素点 pixel1 = image1.load()[x, y] pixel2 = image2.load()[x, y] threshold = 60 if abs(pixel1[0] - pixel2[0]) < threshold and abs(pixel1[1] - pixel2[1]) < threshold and abs( pixel1[2] - pixel2[2]) < threshold: return True else: return False def get_track(self, distance): """ 根据偏移量获取移动轨迹 :param distance: 偏移量 :return: 移动轨迹 """ # 移动轨迹 track = [] # 当前位移 current = 0 # 减速阈值 mid = distance * 4 / 5 # 计算间隔 t = 0.2 # 初速度 v = 0 while current < distance: if current < mid: # 加速度为正2 a = 2 else: # 加速度为负3 a = -3 # 初速度v0 v0 = v # 当前速度v = v0 + at v = v0 + a * t # 移动距离x = v0t + 1/2 * a * t^2 move = v0 * t + 1 / 2 * a * t * t # 当前位移 current += move # 加入轨迹 track.append(round(move)) print(current) return track def move_to_gap(self, slider, track): """ 拖动滑块到缺口处 :param slider: 滑块 :param track: 轨迹 :return: """ ActionChains(self.browser).click_and_hold(slider).perform() for x in track: ActionChains(self.browser).move_by_offset(xoffset=x, yoffset=0).perform() time.sleep(0.5) ActionChains(self.browser).release().perform() def delete_style(self): ''' 执行js脚本，获取无滑块图 :return: ''' js = 'document.querySelectorAll("canvas")[2].style=""' self.browser.execute_script(js) def crack(self): # 输入用户名密码 self.open() # 点击登录按钮 self.login() #获取滑块对象 slider = self.get_slider() # 获取带缺口的验证码图片 image2 = self.get_geetest_image('captcha2.png') # 获取验证码图片 js = 'document.querySelectorAll("canvas")[2].style=""' self.browser.execute_script(js) image1 = self.get_geetest_image('captcha1.png') # 获取缺口位置 gap = self.get_gap(image1, image2) print('缺口位置', gap) # 减去缺口位移 gap -= BORDER # 获取移动轨迹 track = self.get_track(gap) print('滑动轨迹', track) # 拖动滑块 self.move_to_gap(slider, track) success = self.wait.until( EC.text_to_be_present_in_element((By.CLASS_NAME, 'geetest_success_radar_tip_content'), '验证成功')) print(success) # 失败后重试 if not success: self.crack() else: self.login()if __name__ == '__main__': crack = CrackGeetest() crack.crack()
来源：https://www.cnblogs.com/kill-520/p/11638452.html