了解更多關(guān)注微信公眾號“木下學(xué)Python”吧~
原文：https://blog.csdn.net/zjkpy_5/article/details/83472122

1.圖形驗(yàn)證碼

import pytesseract
from PIL import Image

im=Image.open('image.png')

轉(zhuǎn)化為灰度圖像

im = im.convert('L') #轉(zhuǎn)化為灰度圖像
threshold = 127
table = []
for i in range(256):
if i < threshold:
table.append(0)
else:
table.append(1)

im = im.point(table,'1')
print(pytesseract.image_to_string(im))

2.極驗(yàn)驗(yàn)證碼

import time
from io import BytesIO
from PIL import Image
from selenium import webdriver
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

EMAIL = '1347904922@qq.com'
PASSWORD = 'Zjk12345'
BORDER = 6
INIT_LEFT = 60

class CrackGeetest():
def init(self):
self.url = 'https://account.geetest.com/login'
self.browser = webdriver.Chrome()
self.wait = WebDriverWait(self.browser, 20)
self.email = EMAIL
self.password = PASSWORD

def __del__(self):
    self.browser.close()

def get_geetest_button(self):
    """
    獲取初始驗(yàn)證按鈕
    :return:
    """
    button = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'geetest_radar_tip')))
    return button

def get_position(self):
    """
    獲取驗(yàn)證碼位置
    :return: 驗(yàn)證碼位置元組
    """
    img = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME, 'geetest_canvas_img')))
    time.sleep(2)
    location = img.location
    size = img.size
    top, bottom, left, right = location['y'], location['y'] + size['height'], location['x'], location['x'] + size[
        'width']
    return (top, bottom, left, right)

def get_screenshot(self):
    """
    獲取網(wǎng)頁截圖
    :return: 截圖對象
    """
    screenshot = self.browser.get_screenshot_as_png()
    screenshot = Image.open(BytesIO(screenshot))
    return screenshot

def get_slider(self):
    """
    獲取滑塊
    :return: 滑塊對象
    """
    slider = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'geetest_slider_button')))
    return slider

def get_geetest_image(self, name='captcha.png'):
    """
    獲取驗(yàn)證碼圖片
    :return: 圖片對象
    """
    top, bottom, left, right = self.get_position()
    print('驗(yàn)證碼位置', top, bottom, left, right)
    screenshot = self.get_screenshot()
    captcha = screenshot.crop((left, top, right, bottom))
    captcha.save(name)
    return captcha

def open(self):
    """
    打開網(wǎng)頁輸入用戶名密碼
    :return: None
    """
    self.browser.get(self.url)
    email = self.wait.until(EC.presence_of_element_located((By.ID, 'email')))
    password = self.wait.until(EC.presence_of_element_located((By.ID, 'password')))
    email.send_keys(self.email)
    password.send_keys(self.password)

def get_gap(self, image1, image2):
    """
    獲取缺口偏移量
    :param image1: 不帶缺口圖片
    :param image2: 帶缺口圖片
    :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):
    """
    判斷兩個(gè)像素是否相同
    :param image1: 圖片1
    :param image2: 圖片2
    :param x: 位置x
    :param y: 位置y
    :return: 像素是否相同
    """
    # 取兩個(gè)圖片的像素點(diǎn)
    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):
    """
    根據(jù)偏移量獲取移動軌跡
    :param distance: 偏移量
    :return: 移動軌跡
    """
    # 移動軌跡
    track = []
    # 當(dāng)前位移
    current = 0
    # 減速閾值
    mid = distance * 4 / 5
    # 計(jì)算間隔
    t = 0.2
    # 初速度
    v = 0

    while current < distance:
        if current < mid:
            # 加速度為正2
            a = 2
        else:
            # 加速度為負(fù)3
            a = -3
        # 初速度v0
        v0 = v
        # 當(dāng)前速度v = v0 + at
        v = v0 + a * t
        # 移動距離x = v0t + 1/2 * a * t^2
        move = v0 * t + 1 / 2 * a * t * t
        # 當(dāng)前位移
        current += move
        # 加入軌跡
        track.append(round(move))
    return track

def move_to_gap(self, slider, track):
    """
    拖動滑塊到缺口處
    :param slider: 滑塊
    :param track: 軌跡
    :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 login(self):
    """
    登錄
    :return: None
    """
    submit = self.wait.until(EC.element_to_be_clickable((By.CLASS_NAME, 'login-btn')))
    submit.click()
    time.sleep(10)
    print('登錄成功')

def crack(self):
    # 輸入用戶名密碼
    self.open()
    # 點(diǎn)擊驗(yàn)證按鈕
    button = self.get_geetest_button()
    button.click()
    # 獲取驗(yàn)證碼圖片
    image1 = self.get_geetest_image('captcha1.png')
    # 點(diǎn)按呼出缺口
    slider = self.get_slider()
    slider.click()
    # 獲取帶缺口的驗(yàn)證碼圖片
    image2 = self.get_geetest_image('captcha2.png')
    # 獲取缺口位置
    gap = self.get_gap(image1, image2)
    print('缺口位置', gap)
    # 減去缺口位移
    gap -= BORDER
    # 獲取移動軌跡
    track = self.get_track(gap)
    print('滑動軌跡', track)
    # 拖動滑塊
    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'), '驗(yàn)證成功'))
    print(success)

    # 失敗后重試
    if not success:
        self.crack()
    else:
        self.login()

if name == 'main':
crack = CrackGeetest()
crack.crack()

3.微博宮格驗(yàn)證碼

import os
import time
from io import BytesIO
from PIL import Image
from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver import ActionChains
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from os import listdir

USERNAME = '15874295385'
PASSWORD = 'fpdpvx119'

TEMPLATES_FOLDER = 'templates/'

class CrackWeiboSlide():
def init(self):
self.url = 'https://passport.weibo.cn/signin/login?entry=mweibo&r=https://m.weibo.cn/'
self.browser = webdriver.Chrome()
self.wait = WebDriverWait(self.browser, 20)
self.username = USERNAME
self.password = PASSWORD

def __del__(self):
    self.browser.close()

def open(self):
    """
    打開網(wǎng)頁輸入用戶名密碼并點(diǎn)擊
    :return: None
    """
    self.browser.get(self.url)
    username = self.wait.until(EC.presence_of_element_located((By.ID, 'loginName')))
    password = self.wait.until(EC.presence_of_element_located((By.ID, 'loginPassword')))
    submit = self.wait.until(EC.element_to_be_clickable((By.ID, 'loginAction')))
    username.send_keys(self.username)
    password.send_keys(self.password)
    submit.click()

def get_position(self):
    """
    獲取驗(yàn)證碼位置
    :return: 驗(yàn)證碼位置元組
    """
    try:
        img = self.wait.until(EC.presence_of_element_located((By.CLASS_NAME, 'patt-shadow')))
    except TimeoutException:
        print('未出現(xiàn)驗(yàn)證碼')
        self.open()
    time.sleep(2)
    location = img.location
    size = img.size
    top, bottom, left, right = location['y'], location['y'] + size['height'], location['x'], location['x'] + size[
        'width']
    return (top, bottom, left, right)

def get_screenshot(self):
    """
    獲取網(wǎng)頁截圖
    :return: 截圖對象
    """
    screenshot = self.browser.get_screenshot_as_png()
    screenshot = Image.open(BytesIO(screenshot))
    return screenshot

def get_image(self, name='captcha.png'):
    """
    獲取驗(yàn)證碼圖片
    :return: 圖片對象
    """
    top, bottom, left, right = self.get_position()
    print('驗(yàn)證碼位置', top, bottom, left, right)
    screenshot = self.get_screenshot()
    captcha = screenshot.crop((left, top, right, bottom))
    captcha.save(name)
    return captcha

def is_pixel_equal(self, image1, image2, x, y):
    """
    判斷兩個(gè)像素是否相同
    :param image1: 圖片1
    :param image2: 圖片2
    :param x: 位置x
    :param y: 位置y
    :return: 像素是否相同
    """
    # 取兩個(gè)圖片的像素點(diǎn)
    pixel1 = image1.load()[x, y]
    pixel2 = image2.load()[x, y]
    threshold = 20
    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 same_image(self, image, template):
    """
    識別相似驗(yàn)證碼
    :param image: 待識別驗(yàn)證碼
    :param template: 模板
    :return:
    """
    # 相似度閾值
    threshold = 0.99
    count = 0
    for x in range(image.width):
        for y in range(image.height):
            # 判斷像素是否相同
            if self.is_pixel_equal(image, template, x, y):
                count += 1
    result = float(count) / (image.width * image.height)
    if result > threshold:
        print('成功匹配')
        return True
    return False

def detect_image(self, image):
    """
    匹配圖片
    :param image: 圖片
    :return: 拖動順序
    """
    for template_name in listdir(TEMPLATES_FOLDER):
        print('正在匹配', template_name)
        template = Image.open(TEMPLATES_FOLDER + template_name)
        if self.same_image(image, template):
            # 返回順序
            numbers = [int(number) for number in list(template_name.split('.')[0])]
            print('拖動順序', numbers)
            return numbers

def move(self, numbers):
    """
    根據(jù)順序拖動
    :param numbers:
    :return:
    """
    # 獲得四個(gè)按點(diǎn)
    circles = self.browser.find_elements_by_css_selector('.patt-wrap .patt-circ')
    dx = dy = 0
    for index in range(4):
        circle = circles[numbers[index] - 1]
        # 如果是第一次循環(huán)
        if index == 0:
            # 點(diǎn)擊第一個(gè)按點(diǎn)
            ActionChains(self.browser) \
                .move_to_element_with_offset(circle, circle.size['width'] / 2, circle.size['height'] / 2) \
                .click_and_hold().perform()
        else:
            # 小幅移動次數(shù)
            times = 30
            # 拖動
            for i in range(times):
                ActionChains(self.browser).move_by_offset(dx / times, dy / times).perform()
                time.sleep(1 / times)
        # 如果是最后一次循環(huán)
        if index == 3:
            # 松開鼠標(biāo)
            ActionChains(self.browser).release().perform()
        else:
            # 計(jì)算下一次偏移
            dx = circles[numbers[index + 1] - 1].location['x'] - circle.location['x']
            dy = circles[numbers[index + 1] - 1].location['y'] - circle.location['y']

def crack(self):
    """
    破解入口
    :return:
    """
    self.open()
    # 獲取驗(yàn)證碼圖片
    image = self.get_image('captcha.png')
    numbers = self.detect_image(image)
    self.move(numbers)
    time.sleep(10)
    print('識別結(jié)束')

if name == 'main':
crack = CrackWeiboSlide()
crack.crack()

4.超級鷹接口驗(yàn)證碼

import requests
from hashlib import md5

class Chaojiying(object):

def __init__(self, username, password, soft_id):
    self.username = username
    self.password = md5(password.encode('utf-8')).hexdigest()
    self.soft_id = soft_id
    self.base_params = {
        'user': self.username,
        'pass2': self.password,
        'softid': self.soft_id,
    }
    self.headers = {
        'Connection': 'Keep-Alive',
        'User-Agent': 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0)',
    }

def post_pic(self, im, codetype):
    """
    im: 圖片字節(jié)
    codetype: 題目類型 參考 http://www.chaojiying.com/price.html
    """
    params = {
        'codetype': codetype,
    }
    params.update(self.base_params)
    files = {'userfile': ('ccc.jpg', im)}
    r = requests.post('http://upload.chaojiying.net/Upload/Processing.php', data=params, files=files,
                      headers=self.headers)
    return r.json()

def report_error(self, im_id):
    """
    im_id:報(bào)錯(cuò)題目的圖片ID
    """
    params = {
        'id': im_id,
    }
    params.update(self.base_params)
    r = requests.post('http://upload.chaojiying.net/Upload/ReportError.php', data=params, headers=self.headers)
    return r.json()