25验证码无JS加密的滑块验证码

猿人学练习/25验证码无JS加密的滑块验证码/README.md

@@ -0,0 +1,19 @@
+# 知识点： 2张图片对比，目标检测
+
+## 解题思路一
+
+比较两张图片是否相似，如果相似并返回缺口位置
+
+![请求](./img/1.jpg)
+
+对比
+
+![请求](./img/2.png)
+
+很容易就可以得到缺口坐标
+
+## 解题思路二
+
+目标检测yolov5框架
+
+https://github.com/luzhisheng/js_reverse/tree/master/ayf_ocr/08%E6%95%B0%E6%8D%AE%E6%A0%87%E6%B3%A8-VOC%E6%95%B0%E6%8D%AE%E9%9B%86-%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B%E6%A1%86%E6%9E%B6

猿人学练习/25验证码无JS加密的滑块验证码/main.py

@@ -1,82 +1,82 @@
-from 滑动验证码 import disparity
 import requests
 import base64
+from PIL import Image
+import os
+import numpy as np
+
+headers = {
+    "accept": "application/json, text/javascript, */*; q=0.01",
+    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)"
+                  " Chrome/94.0.4606.71 Safari/537.36",
+    "content-type": "application/x-www-form-urlencoded; charset=UTF-8",
+    "origin": "https://www.python-spider.com",
+    "referer": "https://www.python-spider.com/api/challenge25",
+    "x-requested-with": "XMLHttpRequest",
+    "cookie": "sessionid=dxebgqqn0x78r21nk6w19umv3je6pb0n;"
+}
+ses = requests.session()
 
 
-def challenge25_check_verify(distant):
+def get_slider_offset_method(ori_path, cut_pic_path):
-    url = "https://www.python-spider.com/api/challenge25CheckVerify"
+    """比较两张图片是否相似，如果相似并返回缺口位置"""
-    payload = f"distant={distant}"
+    pic_img = Image.open(ori_path)
-    headers = {
+    cut_img = Image.open(cut_pic_path)
-        'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',
+    array1 = np.array(pic_img)
-        'cookie': 'sessionid=y3o4ap05sxbaa9oujc6yr63wsgydyd7x'
+    array2 = np.array(cut_img)
-    }
+    height, width, _ = array1.shape
-    response = requests.request("POST", url, headers=headers, data=payload)
+    threshold = 40
-    return response.json()
+    if np.sum(array1 == array2) > 80000:  # 判断两张图片相似
+        for x in range(10, width - 10):  # 从左往右
+            for y in range(5, height - 10):  # 从上往下
+                pixel1 = pic_img.load()[x, y]
+                pixel2 = cut_img.load()[x, y]
+                if abs(pixel1[0] - pixel2[0]) < threshold and abs(pixel1[1] - pixel2[1]) < threshold and abs(
+                        pixel1[2] - pixel2[2]) < threshold:
+                    continue
+                else:
+                    return x
 
 
-def code_value():
+def request_img():
-    url = "https://www.python-spider.com/api/challenge25verify"
+    url = f"https://www.python-spider.com/api/challenge25verify"
-    payload = {}
+    res = ses.get(url, headers=headers, timeout=10)
-    headers = {
+    with open(r"./img1.jpg", "wb") as f:
-        'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,'
+        f.write(base64.b64decode(res.json()["img1"]))
-                  '*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
+    for item in os.listdir("./img_yuan"):
-        'cookie': 'sessionid=y3o4ap05sxbaa9oujc6yr63wsgydyd7x;',
+        ori_path = os.path.join(os.path.abspath("./img_yuan"), item)
-        'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
+        offset = get_slider_offset_method(ori_path, "./img1.jpg")
-        'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)'
+        if offset:
-                      ' Chrome/112.0.0.0 Safari/537.36'
+            form_data = {"distant": offset}
-    }
+            res = ses.post("https://www.python-spider.com/api/challenge25CheckVerify", data=form_data, headers=headers,
-    response = requests.request("GET", url, headers=headers, data=payload)
+                           timeout=10)
-    img1 = response.json().get('img1')
+            print("滑块识别率：", offset, res.text)
-    img2 = response.json().get('img2')
+            if res.json()["success"]:
-    img1 = base64.urlsafe_b64decode(img1)
+                return True
-    img2 = base64.urlsafe_b64decode(img2)
-    with open('img/background.png', 'wb') as f:
-        f.write(img1)
-    with open('img/target.png', 'wb') as f:
-        f.write(img2)
-    coordinate = disparity()
-    distant = coordinate.get('target')[0]
-    res = challenge25_check_verify(distant)
-    print(res)
-    rate = res.get('rate')
-    return rate
 
 
-def challenge25(page):
+def loop_page(page):
-    if page != 1:
+    count = 0
-        rate = code_value()
+    if page > 1:
-        if rate != '100.00%':
+        if not request_img():
-            return False
+            return
-
+    form_data = {"page": str(page)}
-    url = "https://www.python-spider.com/api/challenge25"
+    res = ses.post("https://www.python-spider.com/api/challenge25", data=form_data, headers=headers, timeout=10)
-    payload = f"page={page}"
+    print(res.status_code, res.text)
-    headers = {
+    for row in res.json()['data']:
-        'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',
+        count += int(row['value'].strip())
-        'cookie': 'sessionid=y3o4ap05sxbaa9oujc6yr63wsgydyd7x;'
+    return count
-    }
-    response = requests.request("POST", url, headers=headers, data=payload)
-    return response.json()
 
 
 def run():
-    data_num = 0
+    s = 0
-    page = 1
+    for page in range(1, 101):
-    while True:
+        s_p = loop_page(page)
-        res_dict = challenge25(page)
+        if not isinstance(s_p, int):
-        if not res_dict:
-            print(f"验证码没有通过-{page}")
-            continue
-        else:
-            print(f"验证码通过{res_dict}-{page}")
-        data_list = res_dict.get('data')
-        for data in data_list:
-            data_num += int(data.get('value'))
-        print(data_num)
-        page += 1
-
-        if page == 101:
             break
+        s += s_p
+    print(s)
 
 
 if __name__ == '__main__':
     run()
+

猿人学练习/25验证码无JS加密的滑块验证码/滑动验证码.py

@@ -1,15 +0,0 @@
-import ddddocr
-
-
-def disparity():
-    slide = ddddocr.DdddOcr(det=False, ocr=False)
-    with open('./img/target.png', 'rb') as f:
-        target_bytes = f.read()
-    with open('./img/background.png', 'rb') as f:
-        background_bytes = f.read()
-    coordinate = slide.slide_match(target_bytes, background_bytes, simple_target=True)
-    return coordinate
-
-
-if __name__ == '__main__':
-    print(disparity())