Repository: ever391/crack_gs
Branch: master
Commit: 8958456e9638
Files: 4
Total size: 9.2 KB
Directory structure:
gitextract_74bz74kt/
├── .idea/
│ └── vcs.xml
├── README.md
├── crack_slide_captcha.py
└── requirements.txt
================================================
FILE CONTENTS
================================================
================================================
FILE: .idea/vcs.xml
================================================
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="$PROJECT_DIR$" vcs="Git" />
</component>
</project>
================================================
FILE: README.md
================================================
# 全国工商企业信息查询 验证码破解
全国工商企业信息查询 验证码破解
## 如果图片不能显示，请将以下内容加入到本地计算机的hosts文件中
```
192.30.253.112 github.com
192.30.253.119 gist.github.com
151.101.184.133 assets-cdn.github.com
151.101.184.133 raw.githubusercontent.com
151.101.184.133 gist.githubusercontent.com
151.101.184.133 cloud.githubusercontent.com
151.101.184.133 camo.githubusercontent.com
151.101.184.133 avatars0.githubusercontent.com
151.101.184.133 avatars1.githubusercontent.com
151.101.184.133 avatars2.githubusercontent.com
151.101.184.133 avatars3.githubusercontent.com
151.101.184.133 avatars4.githubusercontent.com
151.101.184.133 avatars5.githubusercontent.com
151.101.184.133 avatars6.githubusercontent.com
151.101.184.133 avatars7.githubusercontent.com
151.101.184.133 avatars8.githubusercontent.com
```
## 项目演式
## 使用说明：
- 调用crack_slide_captcha.py文件
- 实例化CrackSlide对象
- 执行exec_crack.run方法 参数：is_display 是否显示， 值为True/False
- 返回通过验证码以后的结果
## 工商企业信息查询网自带机器学习识别特征，大量访问会造成行为特征识别,无法通过。
## PS 。。。。。。：
第一次开源好用的东东，以后要多多分享
如果喜欢请Fork下我， 后期会再次针对进行优化，
如果有好的方法，欢迎共同维护！
Thank you!
## 特别感谢：
iYgnohZ 影响了我，让我也走向开源！
## 本方法仅供学习
================================================
FILE: crack_slide_captcha.py
================================================
# coding:utf8
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
try:
from Pillow import Image as image
except ImportError:
from PIL import Image as image
import time,re, random
import requests
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
class CrackSlide(object):
def __init__(self):
self.agent = 'Mozilla/5.0 (Windows NT 5.1; rv:33.0) Gecko/20100101 Firefox/33.0'
self.headers = {'User-Agent': self.agent}
self.is_display = True
def get_browser(self):
if self.is_display == True:
self.browser = webdriver.Chrome()
else:
agent = "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/534.27 (KHTML, like Gecko) Chrome/12.0.712.0 Safari/534.27"
dcap = DesiredCapabilities.PHANTOMJS
dcap['phantomjs.page.settings.userAgent'] = agent
self.browser = webdriver.PhantomJS(desired_capabilities=dcap)
self.browser.get("http://www.gsxt.gov.cn/")
time.sleep(1)
def exec_crack(self, text=u'中国移动', is_display=True):
self.is_display = is_display
self.get_browser()
self.input_text(text=text)
self.submit()
self.waiting_element()
image1 = self.get_image("//div[@class='gt_cut_bg gt_show']/div")
image2 = self.get_image("//div[@class='gt_cut_fullbg gt_show']/div")
offset = self.get_diff_location(image1, image2)
track_list = self.get_track(offset)
self.drag_and_drop(track_list, offset)
time.sleep(2)
content = self.browser.page_source
self.browser.delete_all_cookies()
self.browser.quit()
return content
def drag_and_drop(self, track_list, offset):
element = self.browser.find_element_by_xpath("//div[@class='gt_slider_knob gt_show']")
location = element.location
y = location['y']
ActionChains(self.browser).click_and_hold(on_element=element).perform()
num = 30
count = 0
for track in track_list:
ActionChains(self.browser).move_to_element_with_offset(to_element=element, xoffset=22,
yoffset=random.randint(380, 390)).perform()
time.sleep(0.01)
for track in track_list:
ActionChains(self.browser).move_to_element_with_offset(to_element=element, xoffset=-22,
yoffset=random.randint(380, 390)).perform()
time.sleep(0.01)
for track in track_list:
ActionChains(self.browser).move_to_element_with_offset(to_element=element, xoffset=track + 22,
yoffset=random.randint(380, 390)).perform()
count += 1
if count < num:
time.sleep(0.01)
else:
time.sleep(0.1)
for i in xrange(5):
ActionChains(self.browser).move_to_element_with_offset(to_element=element, xoffset=21, yoffset=random.randint(380, 390)).perform()
time.sleep(0.1)
ActionChains(self.browser).release(on_element=element).perform()
def input_text(self, text, el_id='keyword'):
input_el = self.browser.find_element_by_id(el_id)
input_el.click()
input_el.send_keys(text)
time.sleep(2)
def submit(self, el_class='f18'):
submit_el = self.browser.find_element_by_class_name(el_class)
submit_el.click()
time.sleep(2)
def get_image(self, img_xpath):
background_images = self.browser.find_elements_by_xpath(img_xpath)
location_list = []
imageurl = ''
if self.is_display == True:
for background_image in background_images:
location = {}
location['x'] = int(re.findall("background-image: url\(\"(.*)\"\); background-position: (.*)px (.*)px;",
background_image.get_attribute('style'))[0][1])
location['y'] = int(re.findall("background-image: url\(\"(.*)\"\); background-position: (.*)px (.*)px;",
background_image.get_attribute('style'))[0][2])
imageurl = re.findall("background-image: url\(\"(.*)\"\); background-position: (.*)px (.*)px;",
background_image.get_attribute('style'))[0][0]
location_list.append(location)
else:
for background_image in background_images:
location = {}
location['x'] = int(re.findall("background-image: url\((.*)\); background-position: (.*)px (.*)px;",
background_image.get_attribute('style'))[0][1])
location['y'] = int(re.findall("background-image: url\((.*)\); background-position: (.*)px (.*)px;",
background_image.get_attribute('style'))[0][2])
imageurl = re.findall("background-image: url\((.*)\); background-position: (.*)px (.*)px;",
background_image.get_attribute('style'))[0][0]
location_list.append(location)
imageurl = imageurl.replace("webp", "jpg")
session = requests.session()
response = session.get(imageurl, headers=self.headers, verify=False)
image_mix = StringIO(response.content)
image = self.get_merge_image(image_mix, location_list)
return image
def get_merge_image(self, image_mix, location_list):
im = image.open(image_mix)
im_list_upper=[]
im_list_down=[]
for location in location_list:
if location['y']==-58:
im_list_upper.append(im.crop((abs(location['x']), 58, abs(location['x'])+10, 166)))
if location['y']==0:
im_list_down.append(im.crop((abs(location['x']), 0, abs(location['x'])+10, 58)))
new_im = image.new('RGB', (260,116))
x_offset = 0
for im in im_list_upper:
new_im.paste(im, (x_offset,0))
x_offset += im.size[0]
x_offset = 0
for im in im_list_down:
new_im.paste(im, (x_offset,58))
x_offset += im.size[0]
return new_im
def is_similar(self, image1, image2, x, y):
pixel1 = image1.getpixel((x, y))
pixel2 = image2.getpixel((x, y))
for i in range(0, 3):
if abs(pixel1[i] - pixel2[i]) >= 50:
return False
return True
def get_diff_location(self, image1, image2):
for i in range(0, 260):
for j in range(0, 116):
if self.is_similar(image1, image2, i, j) == False:
return i
def get_track(self, offset):
list = []
x = random.randint(3, 8)
while offset - x >= 5:
list.append(x)
offset = offset - x
x = random.randint(2, 3)
for i in range(offset):
list.append(1)
return list
def waiting_element(self):
WebDriverWait(self.browser, 30).until(
lambda the_driver: the_driver.find_element_by_xpath("//div[@class='gt_slider_knob gt_show']").is_displayed())
WebDriverWait(self.browser, 30).until(
lambda the_driver: the_driver.find_element_by_xpath("//div[@class='gt_cut_bg gt_show']").is_displayed())
WebDriverWait(self.browser, 30).until(
lambda the_driver: the_driver.find_element_by_xpath("//div[@class='gt_cut_fullbg gt_show']").is_displayed())
if __name__ == "__main__":
crack = CrackSlide()
content = crack.exec_crack(is_display=True)
================================================
FILE: requirements.txt
================================================
appdirs==1.4.3
olefile==0.44
packaging==16.8
Pillow==4.0.0
pyparsing==2.2.0
requests==2.13.0
selenium==3.3.1
six==1.10.0
gitextract_74bz74kt/ ├── .idea/ │ └── vcs.xml ├── README.md ├── crack_slide_captcha.py └── requirements.txt
SYMBOL INDEX (13 symbols across 1 files)
FILE: crack_slide_captcha.py
class CrackSlide (line 18) | class CrackSlide(object):
method __init__ (line 20) | def __init__(self):
method get_browser (line 25) | def get_browser(self):
method exec_crack (line 36) | def exec_crack(self, text=u'中国移动', is_display=True):
method drag_and_drop (line 53) | def drag_and_drop(self, track_list, offset):
method input_text (line 87) | def input_text(self, text, el_id='keyword'):
method submit (line 93) | def submit(self, el_class='f18'):
method get_image (line 98) | def get_image(self, img_xpath):
method get_merge_image (line 132) | def get_merge_image(self, image_mix, location_list):
method is_similar (line 152) | def is_similar(self, image1, image2, x, y):
method get_diff_location (line 160) | def get_diff_location(self, image1, image2):
method get_track (line 166) | def get_track(self, offset):
method waiting_element (line 177) | def waiting_element(self):
Condensed preview — 4 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (10K chars).
[
{
"path": ".idea/vcs.xml",
"chars": 180,
"preview": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<project version=\"4\">\n <component name=\"VcsDirectoryMappings\">\n <mapping dire"
},
{
"path": "README.md",
"chars": 1225,
"preview": "# 全国工商企业信息查询 验证码破解\n全国工商企业信息查询 验证码破解 \n\n## 如果图片不能显示，请将以下内容加入到本地计算机的hosts文件中\n```\n\n192.30.253.112 github.com \n192.30.253."
},
{
"path": "crack_slide_captcha.py",
"chars": 7917,
"preview": "# coding:utf8\nfrom selenium import webdriver\nfrom selenium.webdriver.support.ui import WebDriverWait\nfrom selenium.webdr"
},
{
"path": "requirements.txt",
"chars": 121,
"preview": "appdirs==1.4.3\nolefile==0.44\npackaging==16.8\nPillow==4.0.0\npyparsing==2.2.0\nrequests==2.13.0\nselenium==3.3.1\nsix==1.10.0"
}
]
About this extraction
This page contains the full source code of the ever391/crack_gs GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 4 files (9.2 KB), approximately 2.5k tokens, and a symbol index with 13 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.