地址：https://passport.bilibili.com/login
左圖事完整驗證碼圖，右圖是有缺口的驗證碼圖
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步驟：
1.準備bilibili賬號
2.工具：pycharm selenium chromedriver PIL
3.破解思路：
找到完整驗證碼和有缺口的驗證碼圖片，然后計算缺口坐標，再利用selenium移動按鈕到指定位置,齊活
步驟代碼如下：
先導入需要的包和庫
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver import ActionChains
from urllib.request import urlretrieve
from bs4 import BeautifulSoup
from lxml.html import etree
import re,requests
from PIL import Image
from time import sleep
from .config import username,password
class Jiyan_test:
def __init__(self):
self.url='https://passport.bilibili.com/login'
self.brower=webdriver.Chrome('chromedriver')
self.wait=WebDriverWait(self.brower,20)#設置等待
def login(self):
self.brower.get(self.url)
self.user=self.wait.until(EC.presence_of_element_located((By.ID,'login-username')))
self.passwd=self.wait.until(EC.presence_of_element_located((By.ID,'login-passwd')))
self.user.send_keys(username)
self.passwd.send_keys(password)
def get_images(self):#獲取驗證碼圖片
# print(self.brower.page_source)
full_position=[]#完整散圖坐標
bg_position=[]#缺口散圖坐標
html=etree.HTML(self.brower.page_source)
gt_cut_fullbg_slices=html.xpath('//div[@class="gt_cut_fullbg_slice"]/@style')
full_slice_url=re.findall('url\(\"(.*)\"\);',gt_cut_fullbg_slices[0])[0].replace('webp','jpg')
gt_cut_bg_slices = html.xpath('//div[@class="gt_cut_bg_slice"]/@style')
bg_slice_url = re.findall('url\(\"(.*)\"\);', gt_cut_bg_slices[0])[0].replace('webp', 'jpg')
print(gt_cut_fullbg_slices)
for i in gt_cut_fullbg_slices:
position=re.findall('background-position: (.*);',i)[0].replace('px','').split(' ')
position=[int(i) for i in position]
full_position.append(position)
for i in gt_cut_fullbg_slices:
position = re.findall('background-position: (.*);', i)[0].replace('px','').split(' ')
position=[int(i) for i in position]
bg_position.append(position)
print(full_position)
print(bg_position)
print(full_slice_url)
print(bg_slice_url)
full_pic_data=requests.get(full_slice_url).content
bg_pic_data=requests.get(bg_slice_url).content
with open('image/full_pic.jpg','wb') as f:
f.write(full_pic_data)
with open('image/bg_pic.jpg', 'wb') as f:
f.write(bg_pic_data)
full_image=Image.open('image/full_pic.jpg')
bg_image=Image.open('image/bg_pic.jpg')
return full_image,bg_image,full_position,bg_position
分割圖片
def pic_cut(self,file,position):#分割圖片
first_line_pic=[]
second_line_pic=[]
# full_image, bg_image, full_position, bg_position=self.get_images()
for p in position:
if p[1]==-58:
first_line_pic.append(file.crop((abs(p[0]),58,abs(p[0])+10,166)))
if p[1]==0:
second_line_pic.append(file.crop((abs(p[0]),0,abs(p[0])+10,58)))
print(first_line_pic)
print(second_line_pic)
return first_line_pic,second_line_pic
合并圖片
???
def merge_pics_new(self,first_line_pic,second_line_pic,file_name):
#新建圖片
image=Image.new('RGB',(260,116))
offset=0#設置偏移量
#拼接第一行
for i in first_line_pic:
image.paste(i,(offset,0))
offset+=i.size[0]
offset_x=0
#拼接第二行
for j in second_line_pic:
image.paste(j,(offset_x,58))
offset_x+=j.size[0]
image.save('image/'+file_name)#合成完整圖片
def merge_pics(self):#合并圖片
#先割切亂碼圖片
full_image, bg_image, full_position, bg_position=self.get_images()
first_line_pic, second_line_pic=self.pic_cut(full_image,full_position)
self.merge_pics_new(first_line_pic, second_line_pic,'full_new_pic.jpg')
first_line_pic, second_line_pic = self.pic_cut(bg_image, bg_position)
self.merge_pics_new(first_line_pic, second_line_pic, 'bg_new_pic.jpg')
再判斷圖片是否一樣
def check_pics_is_same(self,bg_image,full_image,x,y):#判斷圖片是否一樣
bg_pixel=bg_image.getpixel((x,y))
full_pixel=full_image.getpixel((x,y))
for i in range(0,3):
if abs(bg_pixel[i]-full_pixel[i])>=50:
return False
else:
return True
計算滑塊距離
???
def reckon_distance2(self):#計算滑塊
try:
full_image = Image.open('image/full_new_pic.jpg')
bg_image = Image.open('image/bg_new_pic.jpg')
for i in range(0,full_image.size[0]):
for j in range(0,full_image.size[1]):
if not self.check_pics_is_same(bg_image,full_image,i,j):
return i
except Exception:
print('圖片讀取失敗')
計算運動軌跡
????
def reckon_trail(self):#計算運動軌跡
print('計算運動軌跡')
track=[]
distance=self.reckon_distance2()
distance=int(distance)-7#矯正值
print('缺口坐標',distance)
fast_distance=distance*(4/5)
start,v0,t=0,0,0.2
while start
?
模擬拖動
def move_block(self):# 模擬拖動滑塊
print('開始模擬')
track=self.reckon_trail()
#找尋滑塊標簽
slider=self.wait.until(EC.presence_of_element_located((By.CLASS_NAME,'gt_slider_knob')))
ActionChains(self.brower).click_and_hold(slider).perform()#執行
for x in track:
ActionChains(self.brower).move_by_offset(xoffset=x,yoffset=0).perform()
sleep(0.4)
ActionChains(self.brower).release().perform()#釋放滑塊
if __name__ == '__main__':
c=Jiyan_test()
c.login()
c.merge_pics()
c.move_block()
測試運行正常，偶爾有對不準的現象，需要調整distance的值
總結
以上所述是小編給大家介紹的python破解bilibili滑動驗證碼登錄功能,希望對大家有所幫助，如果大家有任何疑問請給我留言，小編會及時回復大家的。在此也非常感謝大家對腳本之家網站的支持！
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