├── .gitignore
├── LICENSE
├── crack.py
├── main.py
├── readme.md
├── requirements.txt
├── siamese.onnx
├── yolov8.onnx
└── 逆向分析.md
/.gitignore:
--------------------------------------------------------------------------------
1 | ### JetBrains template
2 | # Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
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423 | 9. Acceptance Not Required for Having Copies.
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427 | occurring solely as a consequence of using peer-to-peer transmission
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450 |
451 | You may not impose any further restrictions on the exercise of the
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455 | (including a cross-claim or counterclaim in a lawsuit) alleging that
456 | any patent claim is infringed by making, using, selling, offering for
457 | sale, or importing the Program or any portion of it.
458 |
459 | 11. Patents.
460 |
461 | A "contributor" is a copyright holder who authorizes use under this
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463 | work thus licensed is called the contributor's "contributor version".
464 |
465 | A contributor's "essential patent claims" are all patent claims
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469 | but do not include claims that would be infringed only as a
470 | consequence of further modification of the contributor version. For
471 | purposes of this definition, "control" includes the right to grant
472 | patent sublicenses in a manner consistent with the requirements of
473 | this License.
474 |
475 | Each contributor grants you a non-exclusive, worldwide, royalty-free
476 | patent license under the contributor's essential patent claims, to
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478 | propagate the contents of its contributor version.
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485 | patent against the party.
486 |
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523 |
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528 | 12. No Surrender of Others' Freedom.
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540 | 13. Remote Network Interaction; Use with the GNU General Public License.
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543 | Program, your modified version must prominently offer all users
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561 | 14. Revised Versions of this License.
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563 | The Free Software Foundation may publish revised and/or new versions of
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598 | 16. Limitation of Liability.
599 |
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607 | EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
608 | SUCH DAMAGES.
609 |
610 | 17. Interpretation of Sections 15 and 16.
611 |
612 | If the disclaimer of warranty and limitation of liability provided
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614 | reviewing courts shall apply local law that most closely approximates
615 | an absolute waiver of all civil liability in connection with the
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617 | copy of the Program in return for a fee.
618 |
619 | END OF TERMS AND CONDITIONS
620 |
621 | How to Apply These Terms to Your New Programs
622 |
623 | If you develop a new program, and you want it to be of the greatest
624 | possible use to the public, the best way to achieve this is to make it
625 | free software which everyone can redistribute and change under these terms.
626 |
627 | To do so, attach the following notices to the program. It is safest
628 | to attach them to the start of each source file to most effectively
629 | state the exclusion of warranty; and each file should have at least
630 | the "copyright" line and a pointer to where the full notice is found.
631 |
632 |
633 | Copyright (C)
634 |
635 | This program is free software: you can redistribute it and/or modify
636 | it under the terms of the GNU Affero General Public License as published
637 | by the Free Software Foundation, either version 3 of the License, or
638 | (at your option) any later version.
639 |
640 | This program is distributed in the hope that it will be useful,
641 | but WITHOUT ANY WARRANTY; without even the implied warranty of
642 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
643 | GNU Affero General Public License for more details.
644 |
645 | You should have received a copy of the GNU Affero General Public License
646 | along with this program. If not, see .
647 |
648 | Also add information on how to contact you by electronic and paper mail.
649 |
650 | If your software can interact with users remotely through a computer
651 | network, you should also make sure that it provides a way for users to
652 | get its source. For example, if your program is a web application, its
653 | interface could display a "Source" link that leads users to an archive
654 | of the code. There are many ways you could offer source, and different
655 | solutions will be better for different programs; see section 13 for the
656 | specific requirements.
657 |
658 | You should also get your employer (if you work as a programmer) or school,
659 | if any, to sign a "copyright disclaimer" for the program, if necessary.
660 | For more information on this, and how to apply and follow the GNU AGPL, see
661 | .
662 |
--------------------------------------------------------------------------------
/crack.py:
--------------------------------------------------------------------------------
1 | import base64
2 | import onnxruntime
3 | import cv2
4 | import numpy as np
5 |
6 |
7 | class Crack:
8 | def __init__(self):
9 | pass
10 |
11 | def read_base64_image(self, base64_string):
12 | # 解码Base64字符串为字节串
13 | img_data = base64.b64decode(base64_string)
14 |
15 | # 将解码后的字节串转换为numpy数组(OpenCV使用numpy作为其基础)
16 | np_array = np.frombuffer(img_data, np.uint8)
17 |
18 | # 使用OpenCV的imdecode函数将字节数据解析为cv::Mat对象
19 | img = cv2.imdecode(np_array, cv2.IMREAD_COLOR)
20 | return img
21 |
22 | def detect(self, big_img):
23 | confidence_thres = 0.7
24 | iou_thres = 0.7
25 | session = onnxruntime.InferenceSession("yolov8.onnx")
26 | model_inputs = session.get_inputs()
27 |
28 | self.big_img = self.read_base64_image(big_img)
29 | img_height, img_width = self.big_img.shape[:2]
30 | img = cv2.cvtColor(self.big_img, cv2.COLOR_BGR2RGB)
31 | img = cv2.resize(img, (512, 192))
32 | image_data = np.array(img) / 255.0
33 | image_data = np.transpose(image_data, (2, 0, 1))
34 | image_data = np.expand_dims(image_data, axis=0).astype(np.float32)
35 | input = {model_inputs[0].name: image_data}
36 | output = session.run(None, input)
37 | outputs = np.transpose(np.squeeze(output[0]))
38 | rows = outputs.shape[0]
39 | boxes, scores = [], []
40 | x_factor = img_width / 512
41 | y_factor = img_height / 192
42 | for i in range(rows):
43 | classes_scores = outputs[i][4:]
44 | max_score = np.amax(classes_scores)
45 | if max_score >= confidence_thres:
46 | x, y, w, h = outputs[i][0], outputs[i][1], outputs[i][2], outputs[i][3]
47 | left = int((x - w / 2) * x_factor)
48 | top = int((y - h / 2) * y_factor)
49 | width = int(w * x_factor)
50 | height = int(h * y_factor)
51 | boxes.append([left, top, width, height])
52 | scores.append(max_score)
53 | indices = cv2.dnn.NMSBoxes(boxes, scores, confidence_thres, iou_thres)
54 | new_boxes = [boxes[i] for i in indices]
55 | # print(new_boxes)
56 | if len(new_boxes) != 5:
57 | return False
58 | return new_boxes
59 |
60 | def siamese(self, small_img, boxes):
61 | session = onnxruntime.InferenceSession("siamese.onnx")
62 | positions = [165, 200, 231, 265]
63 | result_list = []
64 | for x in positions:
65 | if len(result_list) == 4:
66 | break
67 | raw_image2 = self.read_base64_image(small_img)
68 | raw_image2 = raw_image2[11:11 + 28, x:x + 26]
69 | img2 = cv2.cvtColor(raw_image2, cv2.COLOR_BGR2RGB)
70 | img2 = cv2.resize(img2, (105, 105))
71 | image_data_2 = np.array(img2) / 255.0
72 | image_data_2 = np.transpose(image_data_2, (2, 0, 1))
73 | image_data_2 = np.expand_dims(image_data_2, axis=0).astype(np.float32)
74 | for box in boxes:
75 | raw_image1 = self.big_img[box[1]:box[1] + box[3] + 2, box[0]:box[0] + box[2] + 2]
76 | img1 = cv2.cvtColor(raw_image1, cv2.COLOR_BGR2RGB)
77 | img1 = cv2.resize(img1, (105, 105))
78 |
79 | image_data_1 = np.array(img1) / 255.0
80 | image_data_1 = np.transpose(image_data_1, (2, 0, 1))
81 | image_data_1 = np.expand_dims(image_data_1, axis=0).astype(np.float32)
82 |
83 | inputs = {'input': image_data_1, "input.53": image_data_2}
84 | output = session.run(None, inputs)
85 | output_sigmoid = 1 / (1 + np.exp(-output[0]))
86 | res = output_sigmoid[0][0]
87 | # print(res)
88 | if res >= 0.7:
89 | # print("\n")
90 | # print(res)
91 | # print(box)
92 | result_list.append([box[0], box[1]])
93 | break
94 | return result_list
95 |
96 |
97 | if __name__ == '__main__':
98 | crack = Crack()
99 | boxes = crack.detect("./1.png")
100 | print(crack.siamese("./2.png", boxes))
101 |
--------------------------------------------------------------------------------
/main.py:
--------------------------------------------------------------------------------
1 | import base64
2 | import json
3 | import requests
4 | import hashlib
5 | import time
6 | from urllib import parse
7 | from crack import Crack
8 | import uuid
9 | from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
10 | from cryptography.hazmat.backends import default_backend
11 |
12 |
13 | def auth():
14 | t = str(round(time.time()))
15 | data = {
16 | "authKey": hashlib.md5(("testtest" + t).encode()).hexdigest(),
17 | "timeStamp": t
18 | }
19 | headers = {
20 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
21 | "Referer": "https://beian.miit.gov.cn/",
22 | "Content-Type": "application/x-www-form-urlencoded",
23 | "Connection": "keep-alive",
24 | "Accept": "application/json, text/plain, */*",
25 | "Accept-Encoding": "gzip, deflate, br",
26 | "Accept-Language": "zh-CN,zh;q=0.9",
27 | "Origin": "https://beian.miit.gov.cn"
28 | }
29 | try:
30 | resp = requests.post("https://hlwicpfwc.miit.gov.cn/icpproject_query/api/auth", headers=headers,
31 | data=parse.urlencode(data)).text
32 | return json.loads(resp)["params"]["bussiness"]
33 | except Exception:
34 | time.sleep(5)
35 | resp = requests.post("https://hlwicpfwc.miit.gov.cn/icpproject_query/api/auth", headers=headers,
36 | data=parse.urlencode(data)).text
37 | return json.loads(resp)["params"]["bussiness"]
38 |
39 |
40 | def getImage():
41 | headers = {
42 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
43 | "Referer": "https://beian.miit.gov.cn/",
44 | "Token": token,
45 | "Connection": "keep-alive",
46 | "Accept": "application/json, text/plain, */*",
47 | "Accept-Encoding": "gzip, deflate, br",
48 | "Accept-Language": "zh-CN,zh;q=0.9",
49 | "Origin": "https://beian.miit.gov.cn"
50 | }
51 | payload = {
52 | "clientUid": "point-" + str(uuid.uuid4())
53 | }
54 | try:
55 | resp = requests.post("https://hlwicpfwc.miit.gov.cn/icpproject_query/api/image/getCheckImagePoint",
56 | headers=headers, json=payload).json()
57 | return resp["params"], payload["clientUid"]
58 | except Exception:
59 | time.sleep(5)
60 | resp = requests.post("https://hlwicpfwc.miit.gov.cn/icpproject_query/api/image/getCheckImagePoint",
61 | headers=headers, json=payload).json()
62 | return resp["params"], payload["clientUid"]
63 |
64 |
65 | def aes_ecb_encrypt(plaintext: bytes, key: bytes, block_size=16):
66 | backend = default_backend()
67 | cipher = Cipher(algorithms.AES(key), modes.ECB(), backend=backend)
68 |
69 | padding_length = block_size - (len(plaintext) % block_size)
70 | plaintext_padded = plaintext + bytes([padding_length]) * padding_length
71 |
72 | encryptor = cipher.encryptor()
73 | ciphertext = encryptor.update(plaintext_padded) + encryptor.finalize()
74 |
75 | return base64.b64encode(ciphertext).decode('utf-8')
76 |
77 |
78 | def generate_pointjson(big_img, small_img, secretKey):
79 | boxes = crack.detect(big_img)
80 | if boxes:
81 | print("文字检测成功")
82 | else:
83 | print("文字检测失败,请重试")
84 | raise Exception("文字检测失败,请重试")
85 | points = crack.siamese(small_img, boxes)
86 | print("文字匹配成功")
87 | new_points = [[p[0] + 20, p[1] + 20] for p in points]
88 | pointJson = [{"x": p[0], "y": p[1]} for p in new_points]
89 | # print(json.dumps(pointJson))
90 | enc_pointJson = aes_ecb_encrypt(json.dumps(pointJson).replace(" ", "").encode(), secretKey.encode())
91 | return enc_pointJson
92 |
93 |
94 | def checkImage(uuid_token, secretKey, clientUid, pointJson):
95 | headers = {
96 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
97 | "Referer": "https://beian.miit.gov.cn/",
98 | "Token": token,
99 | "Connection": "keep-alive",
100 | "Accept": "application/json, text/plain, */*",
101 | "Accept-Encoding": "gzip, deflate, br",
102 | "Accept-Language": "zh-CN,zh;q=0.9",
103 | "Origin": "https://beian.miit.gov.cn"
104 | }
105 | data = {
106 | "token": uuid_token,
107 | "secretKey": secretKey,
108 | "clientUid": clientUid,
109 | "pointJson": pointJson
110 | }
111 | resp = requests.post("https://hlwicpfwc.miit.gov.cn/icpproject_query/api/image/checkImage", headers=headers,
112 | json=data).json()
113 | if resp["code"] == 200:
114 | # print(resp["params"])
115 | return resp["params"]["sign"]
116 | return False
117 |
118 |
119 | def query(sign, uuid_token, domain):
120 | headers = {
121 | "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
122 | "Referer": "https://beian.miit.gov.cn/",
123 | "Token": token,
124 | "Sign": sign,
125 | "Uuid": uuid_token,
126 | "Connection": "keep-alive",
127 | "Accept": "application/json, text/plain, */*",
128 | "Accept-Encoding": "gzip, deflate, br",
129 | "Accept-Language": "zh-CN,zh;q=0.9",
130 | "Origin": "https://beian.miit.gov.cn",
131 | "Content-Type": "application/json",
132 | "Cookie": "__jsluid_s="+str(uuid.uuid4().hex[:32])
133 | }
134 | data = {"pageNum": "", "pageSize": "", "unitName": domain, "serviceType": 1}
135 | resp = requests.post("https://hlwicpfwc.miit.gov.cn/icpproject_query/api/icpAbbreviateInfo/queryByCondition",
136 | headers=headers, data=json.dumps(data).replace(" ","")).text
137 | return resp
138 |
139 |
140 | crack = Crack()
141 | token = auth()
142 | time.sleep(0.1)
143 | print("正在获取验证码")
144 | params, clientUid = getImage()
145 | pointjson = generate_pointjson(params["bigImage"], params["smallImage"], params["secretKey"])
146 | time.sleep(0.5)
147 | sign = checkImage(params["uuid"], params["secretKey"], clientUid, pointjson)
148 | time.sleep(0.5)
149 | if sign:
150 | print(query(sign, params["uuid"],"baidu.com"))
151 | else:
152 | print("failed")
153 |
--------------------------------------------------------------------------------
/readme.md:
--------------------------------------------------------------------------------
1 | # ICP备案查询工具
2 |
3 | ## 警告
4 |
5 | 本项目仅限用于学习研究
6 |
7 | 禁止售卖本项目,禁止用于违法目的
8 |
9 | 任何后果与本人无关
10 |
11 | ## 特点
12 |
13 | - 使用yolov8+孪生网络解决点选验证码
14 |
15 | - 准确率高,只要不是这种阴间图片,基本没问题
16 |
17 | 
18 |
19 | - 识别一次用时2~3秒
20 |
21 | - 使用ONNX模型
22 |
23 | ## 使用方法
24 |
25 | 安装依赖
26 |
27 | ```shell
28 | pip install -r requirements.txt
29 | ```
30 |
31 | 修改`main.py`中要查询的域名
32 |
33 | 运行 `main.py` 即可
34 |
35 | ## 备注
36 |
37 | - 官网反爬策略较为玄学,请勿疯狂请求
38 | - 运行结果为原始响应,如有需要请自行解析
39 |
40 | ## 鸣谢
41 |
42 | [Siamese-pytorch](https://github.com/bubbliiiing/Siamese-pytorch) 孪生神经网络
43 |
44 | [ultralytics](https://github.com/ultralytics/ultralytics) YOLOv8
45 |
46 | 没有他们的付出就没有本项目的诞生
47 |
48 | ## 开源协议
49 |
50 | 依据上游项目 [ultralytics](https://github.com/ultralytics/ultralytics) 所使用的AGPLv3协议,现以相同协议开源本项目,请自觉遵守。
51 |
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/requirements.txt:
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1 | requests~=2.31.0
2 | cryptography~=42.0.5
3 | onnxruntime~=1.17.1
4 | numpy~=1.26.4
5 | opencv-python-headless~=4.10.0.84
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/siamese.onnx:
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https://raw.githubusercontent.com/ravizhan/ICP-spider/4fac0a6aec5d4a429a6798e97f105a4e47703991/siamese.onnx
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/yolov8.onnx:
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https://raw.githubusercontent.com/ravizhan/ICP-spider/4fac0a6aec5d4a429a6798e97f105a4e47703991/yolov8.onnx
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/逆向分析.md:
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1 | # 新版备案查询验证码分析
2 |
3 | ## 获取Token
4 |
5 | URL: https://hlwicpfwc.miit.gov.cn/icpproject_query/api/auth
6 |
7 | Payload:
8 |
9 | ```json
10 | {
11 | "authKey": hashlib.md5(("testtest" + t).encode()).hexdigest(),
12 | "timeStamp": str(round(time.time()))
13 | }
14 | ```
15 |
16 | Response:
17 |
18 | ```json
19 | {
20 | "code":200,
21 | "msg":"操作成功",
22 | "params":{
23 | "bussiness":"Token",
24 | "expire":300000,
25 | "refresh":"RefreshToken"
26 | },
27 | "success":true
28 | }
29 |
30 | ```
31 |
32 | > 注意: 以下所有请求均需携带Token请求头
33 |
34 | ## 获取验证码图片
35 |
36 | URL: https://hlwicpfwc.miit.gov.cn/icpproject_query/api/image/getCheckImagePoint
37 |
38 | Payload:
39 |
40 | ```json
41 | {
42 | clientUid: "point-"+"随机UUID"
43 | }
44 | ```
45 |
46 | Response:
47 |
48 | ```json
49 | {
50 | "code": 200,
51 | "msg": "操作成功",
52 | "params": {
53 | "bigImage": "base64图片",
54 | "secretKey": "随机AES密钥",
55 | "smallImage": "base64图片",
56 | "uuid": "随机字符串",
57 | "wordCount": 4
58 | },
59 | "success": true
60 | }
61 |
62 | ```
63 |
64 |
65 |
66 | ## 校验结果
67 |
68 | URL: https://hlwicpfwc.miit.gov.cn/icpproject_query/api/image/checkImage
69 |
70 | Payload:
71 |
72 | ```json
73 | {
74 | "token":"uuid",
75 | "secretKey":"secretKey",
76 | "clientUid":"clientUid",
77 | "pointJson":""
78 | }
79 | ```
80 |
81 | pointJson算法:
82 |
83 | - 加密方法 AES-128-ECB
84 | - 填充方法 pkcs7
85 |
86 | - 密钥 `secretKey`
87 |
88 | - 内容 `'[{"x":135,"y":43},{"x":43,"y":119},{"x":402,"y":61},{"x":179,"y":78}]'`
89 |
90 | 其中x,y分别对应每个字的坐标,有顺序要求
91 |
92 | - 输出 Base64
93 |
94 |
95 |
96 | Response:
97 |
98 | ```json
99 | {
100 | "code": 200,
101 | "msg": "操作成功",
102 | "params": {
103 | "sign": "签名",
104 | "smallImage": "验证成功的base64图片"
105 | },
106 | "success": true
107 | }
108 |
109 | ```
110 |
111 |
112 |
113 | ## 查询备案
114 |
115 | URL: https://hlwicpfwc.miit.gov.cn/icpproject_query/api/icpAbbreviateInfo/queryByCondition
116 |
117 | Payload
118 |
119 | ```json
120 | {
121 | "pageNum":"",
122 | "pageSize":"",
123 | "unitName":"域名",
124 | "serviceType":1
125 | }
126 | ```
127 |
128 | Response
129 |
130 | ```json
131 | {
132 | "code": 200,
133 | "msg": "操作成功",
134 | "params": {
135 | "endRow": 0,
136 | "firstPage": 1,
137 | "hasNextPage": false,
138 | "hasPreviousPage": false,
139 | "isFirstPage": true,
140 | "isLastPage": true,
141 | "lastPage": 1,
142 | "list": [
143 | {
144 | "contentTypeName": "",
145 | "domain": "",
146 | "domainId": "",
147 | "leaderName": "",
148 | "limitAccess": "",
149 | "mainId": "",
150 | "mainLicence": "",
151 | "natureName": "",
152 | "serviceId": "",
153 | "serviceLicence": "",
154 | "unitName": "",
155 | "updateRecordTime": ""
156 | }
157 | ],
158 | "navigatePages": 8,
159 | "navigatepageNums": [
160 | 1
161 | ],
162 | "nextPage": 1,
163 | "pageNum": 1,
164 | "pageSize": 10,
165 | "pages": 1,
166 | "prePage": 1,
167 | "size": 1,
168 | "startRow": 0,
169 | "total": 1
170 | },
171 | "success": true
172 | }
173 | ```
174 |
175 |
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