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+                    GNU AFFERO GENERAL PUBLIC LICENSE
+                       Version 3, 19 November 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU Affero General Public License is a free, copyleft license for
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+USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
+DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
+PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
+EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
+SUCH DAMAGES.
+
+  17. Interpretation of Sections 15 and 16.
+
+  If the disclaimer of warranty and limitation of liability provided
+above cannot be given local legal effect according to their terms,
+reviewing courts shall apply local law that most closely approximates
+an absolute waiver of all civil liability in connection with the
+Program, unless a warranty or assumption of liability accompanies a
+copy of the Program in return for a fee.
+
+                     END OF TERMS AND CONDITIONS
+
+            How to Apply These Terms to Your New Programs
+
+  If you develop a new program, and you want it to be of the greatest
+possible use to the public, the best way to achieve this is to make it
+free software which everyone can redistribute and change under these terms.
+
+  To do so, attach the following notices to the program.  It is safest
+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
+the "copyright" line and a pointer to where the full notice is found.
+
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU Affero General Public License as published
+    by the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU Affero General Public License for more details.
+
+    You should have received a copy of the GNU Affero General Public License
+    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+Also add information on how to contact you by electronic and paper mail.
+
+  If your software can interact with users remotely through a computer
+network, you should also make sure that it provides a way for users to
+get its source.  For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code.  There are many ways you could offer source, and different
+solutions will be better for different programs; see section 13 for the
+specific requirements.
+
+  You should also get your employer (if you work as a programmer) or school,
+if any, to sign a "copyright disclaimer" for the program, if necessary.
+For more information on this, and how to apply and follow the GNU AGPL, see
+<https://www.gnu.org/licenses/>.

README.md

@@ -0,0 +1,63 @@
+# MihoyoBBS-gt-server
+适用于米游社签到的打码服务
+
+**本项目仅供学习交流使用，请勿用于商业用途，否则后果自负。**
+
+**本项目仅供学习交流使用，请勿用于商业用途，否则后果自负。**
+
+**本项目仅供学习交流使用，请勿用于商业用途，否则后果自负。**
+
+# 使用方法
+
+## 服务端
+
+安装相关依赖
+
+```commandline
+pip install -r requirements.txt
+```
+运行
+
+```commandline
+python3 main.py
+```
+
+## 调用接口
+
+``` python
+import httpx
+
+def geetest(gt, challenge):
+    data = httpx.post(
+        "https://example.com",
+        json={"gt": gt, "challenge": challenge},
+        timeout=30,
+    ).json()
+    if data["status"] == "success":
+        return data["validate"]
+    return None
+```
+
+九宫格、图标点选成功率均接近100%（1000次测试全部成功）
+
+# 实现思路
+
+## 九宫格
+* 采用均方误差（MSE）法对小图标进行分类
+* 使用resnet18对图片进行分类
+
+## 图标点选
+* 使用ddddocr进行目标检测
+* 使用孪生神经网络计算相似度
+
+# 协议
+本项目遵循 AGPL-3.0 协议开源，请遵守相关协议。
+
+# 鸣谢
+[ravizhan/geetest-v3-click-crack](https://github.com/ravizhan/geetest-v3-click-crack) 提供极验接口逆向
+
+[taisuii/ClassificationCaptchaOcr](https://github.com/ultralytics/ultralytics/) 提供九宫格识别思路及模型
+
+[Siamese-pytorch](https://github.com/bubbliiiing/Siamese-pytorch) 提供孪生网络模型
+
+[sml2h3/ddddocr](https://github.com/sml2h3/ddddocr) 提供目标检测SDK

crack.py

@@ -0,0 +1,533 @@
+import hashlib
+import json
+import math
+import random
+import time
+
+import httpx
+from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
+from cryptography.hazmat.primitives import padding, serialization
+from cryptography.hazmat.primitives.asymmetric.padding import PKCS1v15
+
+
+class Crack:
+    def __init__(self, gt=None, challenge=None):
+        self.pic_path = None
+        self.s = None
+        self.c = None
+        self.session = httpx.Client(http2=True)
+        self.session.headers = {
+            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36"
+        }
+        # self.session.verify = False
+        self.gt = gt
+        self.challenge = challenge
+        self.aeskey = "".join(
+            f"{int((1 + random.random()) * 65536):04x}"[1:] for _ in range(4)
+        )
+        public_key = """-----BEGIN PUBLIC KEY-----
+MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQDB45NNFhRGWzMFPn9I7k7IexS5
+XviJR3E9Je7L/350x5d9AtwdlFH3ndXRwQwprLaptNb7fQoCebZxnhdyVl8Jr2J3
+FZGSIa75GJnK4IwNaG10iyCjYDviMYymvCtZcGWSqSGdC/Bcn2UCOiHSMwgHJSrg
+Bm1Zzu+l8nSOqAurgQIDAQAB
+-----END PUBLIC KEY-----"""
+        self.public_key = serialization.load_pem_public_key(public_key.encode())
+        self.enc_key = self.public_key.encrypt(self.aeskey.encode(), PKCS1v15()).hex()
+        with open("mousepath.json", "r") as f:
+            self.mouse_path = json.loads(f.read())
+
+    def get_type(self) -> dict:
+        url = f"https://api.geetest.com/gettype.php?gt={self.gt}"
+        res = self.session.get(url)
+        return json.loads(res.text[1:-1])["data"]
+
+    @staticmethod
+    def encode(input_bytes: list):
+        def get_char_from_index(index):
+            char_table = (
+                "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789()"
+            )
+            return char_table[index] if 0 <= index < len(char_table) else "."
+
+        def transform_value(value, bit_mask):
+            result = 0
+            for r in range(23, -1, -1):
+                if (bit_mask >> r) & 1:
+                    result = (result << 1) + ((value >> r) & 1)
+            return result
+
+        encoded_string = ""
+        padding = ""
+        input_length = len(input_bytes)
+        for i in range(0, input_length, 3):
+            chunk_length = min(3, input_length - i)
+            chunk = input_bytes[i : i + chunk_length]
+            if chunk_length == 3:
+                value = (chunk[0] << 16) + (chunk[1] << 8) + chunk[2]
+                encoded_string += (
+                    get_char_from_index(transform_value(value, 7274496))
+                    + get_char_from_index(transform_value(value, 9483264))
+                    + get_char_from_index(transform_value(value, 19220))
+                    + get_char_from_index(transform_value(value, 235))
+                )
+            elif chunk_length == 2:
+                value = (chunk[0] << 16) + (chunk[1] << 8)
+                encoded_string += (
+                    get_char_from_index(transform_value(value, 7274496))
+                    + get_char_from_index(transform_value(value, 9483264))
+                    + get_char_from_index(transform_value(value, 19220))
+                )
+                padding = "."
+            elif chunk_length == 1:
+                value = chunk[0] << 16
+                encoded_string += get_char_from_index(
+                    transform_value(value, 7274496)
+                ) + get_char_from_index(transform_value(value, 9483264))
+                padding = ".."
+        return encoded_string + padding
+
+    @staticmethod
+    def MD5(text: str):
+        return hashlib.md5(text.encode()).hexdigest()
+
+    @staticmethod
+    def encode_mouse_path(path: list, c: list, s: str):
+        def preprocess(path: list):
+            def BFIQ(e):
+                t = 32767
+                if not isinstance(e, int):
+                    return e
+                else:
+                    if t < e:
+                        e = t
+                    elif e < -t:
+                        e = -t
+                return round(e)
+
+            def BGAB(e):
+                t = ""
+                n = 0
+                len(e or [])
+                while n < len(e) and not t:
+                    if e[n]:
+                        t = e[n][4]
+                    n += 1
+                if not t:
+                    return e
+                r = ""
+                i = ["mouse", "touch", "pointer", "MSPointer"]
+                for s in range(len(i)):
+                    if t.startswith(i[s]):
+                        r = i[s]
+                _ = list(e)
+                for a in range(len(_) - 1, -1, -1):
+                    c = _[a]
+                    l = c[0]
+                    if l in ["move", "down", "up"]:
+                        value = c[4] or ""
+                        if not value.startswith(r):
+                            _.pop(a)
+                return _
+
+            t = 0
+            n = 0
+            r = []
+            s = 0
+            if len(path) <= 0:
+                return []
+            o = None
+            _ = None
+            a = BGAB(path)
+            c = len(a)
+            for l in range(0 if c < 300 else c - 300, c):
+                u = a[l]
+                h = u[0]
+                if h in ["down", "move", "up", "scroll"]:
+                    if not o:
+                        o = u
+                    _ = u
+                    r.append([h, [u[1] - t, u[2] - n], BFIQ(u[3] - s if s else s)])
+                    t = u[1]
+                    n = u[2]
+                    s = u[3]
+                elif h in ["blur", "focus", "unload"]:
+                    r.append([h, BFIQ(u[1] - s if s else s)])
+                    s = u[1]
+            return r
+
+        def process(prepared_path: list):
+            h = {
+                "move": 0,
+                "down": 1,
+                "up": 2,
+                "scroll": 3,
+                "focus": 4,
+                "blur": 5,
+                "unload": 6,
+                "unknown": 7,
+            }
+
+            def p(e, t):
+                n = bin(e)[2:]
+                r = ""
+                i = len(n) + 1
+                while i <= t:
+                    i += 1
+                    r += "0"
+                return r + n
+
+            def d(e):
+                t = []
+                n = len(e)
+                r = 0
+                while r < n:
+                    i = e[r]
+                    s = 0
+                    while True:
+                        if s >= 16:
+                            break
+                        o = r + s + 1
+                        if o >= n:
+                            break
+                        if e[o] != i:
+                            break
+                        s += 1
+                    r += 1 + s
+                    _ = h[i]
+                    if s != 0:
+                        t.append(_ | 8)
+                        t.append(s - 1)
+                    else:
+                        t.append(_)
+                a = p(n | 32768, 16)
+                c = ""
+                for l in range(len(t)):
+                    c += p(t[l], 4)
+                return a + c
+
+            def g(e, tt):
+                def temp1(e1):
+                    n = len(e)
+                    r = 0
+                    i = []
+                    while r < n:
+                        s = 1
+                        o = e[r]
+                        _ = abs(o)
+                        while True:
+                            if n <= r + s:
+                                break
+                            if e[r + s] != o:
+                                break
+                            if (_ >= 127) or (s >= 127):
+                                break
+                            s += 1
+                        if s > 1:
+                            i.append((49152 if o < 0 else 32768) | s << 7 | _)
+                        else:
+                            i.append(o)
+                        r += s
+                    return i
+
+                e = temp1(e)
+
+                r = []
+                i = []
+
+                def n(e, t):
+                    return 0 if e == 0 else math.log(e) / math.log(t)
+
+                for temp in e:
+                    t = math.ceil(n(abs(temp) + 1, 16))
+                    if t == 0:
+                        t = 1
+                    r.append(p(t - 1, 2))
+                    i.append(p(abs(temp), t * 4))
+
+                s = "".join(r)
+                o = "".join(i)
+
+                def temp2(t):
+                    return t != 0 and t >> 15 != 1
+
+                def temp3(e1):
+                    n = []
+
+                    def temp(e2):
+                        if temp2(e2):
+                            n.append(e2)
+
+                    for r in range(len(e1)):
+                        temp(e1[r])
+                    return n
+
+                def temp4(t):
+                    if t < 0:
+                        return "1"
+                    else:
+                        return "0"
+
+                if tt:
+                    n = []
+                    e1 = temp3(e)
+                    for r in range(len(e1)):
+                        n.append(temp4(e1[r]))
+                    n = "".join(n)
+                else:
+                    n = ""
+                return p(len(e) | 32768, 16) + s + o + n
+
+            def u(e):
+                t = ""
+                n = len(e) // 6
+                for r in range(n):
+                    t += "()*,-./0123456789:?@ABCDEFGHIJKLMNOPQRSTUVWXYZ_abcdefghijklmnopqrstuvwxyz~"[
+                        int(e[6 * r : 6 * (r + 1)], 2)
+                    ]
+                return t
+
+            t = []
+            n = []
+            r = []
+            i = []
+            for a in range(len(prepared_path)):
+                _ = prepared_path[a]
+                a = len(_)
+                t.append(_[0])
+                n.append(_[1] if a == 2 else _[2])
+                if a == 3:
+                    r.append(_[1][0])
+                    i.append(_[1][1])
+            c = d(t) + g(n, False) + g(r, True) + g(i, True)
+            l = len(c)
+            if l % 6 != 0:
+                c += p(0, 6 - l % 6)
+            return u(c)
+
+        def postprocess(e, t, n):
+            i = 0
+            s = e
+            o = t[0]
+            _ = t[2]
+            a = t[4]
+            while True:
+                r = n[i : i + 2]
+                if not r:
+                    break
+                i += 2
+                c = int(r, 16)
+                l = chr(c)
+                u = (o * c * c + _ * c + a) % len(e)
+                s = s[:u] + l + s[u:]
+            return s
+
+        return postprocess(process(preprocess(path)), c, s)
+
+    def aes_encrypt(self, content: str):
+        cipher = Cipher(
+            algorithms.AES(self.aeskey.encode()), modes.CBC(b"0000000000000000")
+        )
+        encryptor = cipher.encryptor()
+        padder = padding.PKCS7(128).padder()
+        padded_data = padder.update(content.encode())
+        padded_data += padder.finalize()
+        ct = encryptor.update(padded_data) + encryptor.finalize()
+        return ct
+
+    def get_c_s(self):
+        o = {
+            "gt": self.gt,
+            "challenge": self.challenge,
+            "offline": False,
+            "new_captcha": True,
+            "product": "embed",
+            "width": "300px",
+            "https": True,
+            "protocol": "https://",
+        }
+        o.update(self.get_type())
+        o.update(
+            {
+                "cc": 16,
+                "ww": True,
+                "i": "-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1!!-1",
+            }
+        )
+        o = json.dumps(o, separators=(",", ":"))
+        # print(o)
+        ct = self.aes_encrypt(o)
+        s = []
+        for byte in ct:
+            s.append(byte)
+        i = self.encode(s)
+        r = self.enc_key
+        w = i + r
+        params = {
+            "gt": self.gt,
+            "challenge": self.challenge,
+            "lang": "zh-cn",
+            "pt": 0,
+            "client_type": "web",
+            "callback": "geetest_" + str(int(round(time.time() * 1000))),
+            "w": w,
+        }
+        resp = self.session.get("https://api.geetest.com/get.php", params=params).text
+        # print(resp)
+        data = json.loads(resp[22:-1])["data"]
+        self.c = data["c"]
+        self.s = data["s"]
+        return data["c"], data["s"]
+
+    def gettype(self):
+        url = f"https://api.geetest.com/gettype.php?gt={self.gt}&callback=geetest_{str(int(round(time.time() * 1000)))}"
+        return self.session.get(url).text
+
+    def ajax(self):
+        def transform(e, t, n):
+            if not t or not n:
+                return e
+            o = 0
+            i = list(e)
+            s = t[0]
+            a = t[2]
+            b = t[4]
+            while o < len(n):
+                r = n[o : o + 2]
+                o += 2
+                c = int(r, 16)
+                l = chr(c)
+                u = (s * c * c + a * c + b) % len(i)
+                i.insert(u, l)
+            return "".join(i)
+
+        mouse_path = [
+            ["move", 385, 313, 1724572150164, "pointermove"],
+            ["move", 385, 315, 1724572150166, "pointermove"],
+            ["move", 386, 315, 1724572150174, "pointermove"],
+            ["move", 387, 315, 1724572150182, "pointermove"],
+            ["move", 387, 316, 1724572150188, "pointermove"],
+            ["move", 388, 316, 1724572150204, "pointermove"],
+            ["move", 388, 317, 1724572150218, "pointermove"],
+            ["down", 388, 317, 1724572150586, "pointerdown"],
+            ["focus", 1724572150587],
+            ["up", 388, 317, 1724572150632, "pointerup"],
+        ]
+        tt = transform(
+            self.encode_mouse_path(mouse_path, self.c, self.s), self.c, self.s
+        )
+        rp = self.MD5(self.gt + self.challenge + self.s)
+        temp1 = (
+            """"lang":"zh-cn","type":"fullpage","tt":"%s","light":"DIV_0","s":"c7c3e21112fe4f741921cb3e4ff9f7cb","h":"321f9af1e098233dbd03f250fd2b5e21","hh":"39bd9cad9e425c3a8f51610fd506e3b3","hi":"09eb21b3ae9542a9bc1e8b63b3d9a467","vip_order":-1,"ct":-1,"ep":{"v":"9.1.9-dbjg5z","te":false,"me":true,"ven":"Google Inc. (Intel)","ren":"ANGLE (Intel, Intel(R) Iris(R) Xe Graphics (0x0000A7A0) Direct3D11 vs_5_0 ps_5_0, D3D11)","fp":["scroll",0,1602,1724571628498,null],"lp":["up",386,217,1724571629854,"pointerup"],"em":{"ph":0,"cp":0,"ek":"11","wd":1,"nt":0,"si":0,"sc":0},"tm":{"a":1724571567311,"b":1724571567549,"c":1724571567562,"d":0,"e":0,"f":1724571567312,"g":1724571567312,"h":1724571567312,"i":1724571567317,"j":1724571567423,"k":1724571567330,"l":1724571567423,"m":1724571567545,"n":1724571567547,"o":1724571567569,"p":1724571568259,"q":1724571568259,"r":1724571568261,"s":1724571570378,"t":1724571570378,"u":1724571570380},"dnf":"dnf","by":0},"passtime":1600,"rp":"%s","""
+            % (tt, rp)
+        )
+        r = "{" + temp1 + '"captcha_token":"1198034057","du6o":"eyjf7nne"}'
+        # print(r)
+        ct = self.aes_encrypt(r)
+        s = [byte for byte in ct]
+        w = self.encode(s)
+        params = {
+            "gt": self.gt,
+            "challenge": self.challenge,
+            "lang": "zh-cn",
+            "pt": 0,
+            "client_type": "web",
+            "callback": "geetest_" + str(int(round(time.time() * 1000))),
+            "w": w,
+        }
+        resp = self.session.get("https://api.geetest.com/ajax.php", params=params).text
+        return json.loads(resp[22:-1])["data"]
+
+    def get_pic(self, retry):
+        params = {
+            "type": "click",
+            "gt": self.gt,
+            "challenge": self.challenge,
+            "lang": "zh-cn",
+            "callback": "geetest_" + str(int(round(time.time() * 1000))),
+        }
+        if retry == 0:
+            url = "https://api.geevisit.com/get.php"
+            params.update(
+                {
+                    "is_next": "true",
+                    "https": "true",
+                    "protocol": "https://",
+                    "offline": "false",
+                    "product": "float",
+                    "api_server": "api.geevisit.com",
+                    "isPC": True,
+                    "autoReset": True,
+                    "width": "100%",
+                }
+            )
+        else:
+            url = "https://api.geetest.com/refresh.php"
+        resp = self.session.get(url, params=params).text
+        data = json.loads(resp[22:-1])["data"]
+        self.pic_path = data["pic"]
+        pic_url = "https://" + data["image_servers"][0][:-1] + data["pic"]
+        return data["pic_type"], self.session.get(pic_url).content
+
+    def verify(self, points: list):
+        u = self.enc_key
+        o = {
+            "lang": "zh-cn",
+            "passtime": 1600,
+            "a": ",".join(points),
+            "pic": self.pic_path,
+            "tt": self.encode_mouse_path(self.mouse_path, self.c, self.s),
+            "ep": {
+                "ca": [
+                    {"x": 524, "y": 209, "t": 0, "dt": 1819},
+                    {"x": 558, "y": 299, "t": 0, "dt": 428},
+                    {"x": 563, "y": 95, "t": 0, "dt": 952},
+                    {"x": 670, "y": 407, "t": 3, "dt": 892},
+                ],
+                "v": "3.1.0",
+                "$_FB": False,
+                "me": True,
+                "tm": {
+                    "a": 1724585496403,
+                    "b": 1724585496605,
+                    "c": 1724585496613,
+                    "d": 0,
+                    "e": 0,
+                    "f": 1724585496404,
+                    "g": 1724585496404,
+                    "h": 1724585496404,
+                    "i": 1724585496404,
+                    "j": 1724585496404,
+                    "k": 0,
+                    "l": 1724585496413,
+                    "m": 1724585496601,
+                    "n": 1724585496603,
+                    "o": 1724585496618,
+                    "p": 1724585496749,
+                    "q": 1724585496749,
+                    "r": 1724585496751,
+                    "s": 1724585498068,
+                    "t": 1724585498068,
+                    "u": 1724585498069,
+                },
+            },
+            "h9s9": "1816378497",
+        }
+        o["rp"] = self.MD5(self.gt + self.challenge + str(o["passtime"]))
+        o = json.dumps(o, separators=(",", ":"))
+        # print(o)
+        ct = self.aes_encrypt(o)
+        s = []
+        for byte in ct:
+            s.append(byte)
+        p = self.encode(s)
+        w = p + u
+        params = {
+            "gt": self.gt,
+            "challenge": self.challenge,
+            "lang": "zh-cn",
+            "pt": 0,
+            "client_type": "web",
+            "w": w,
+        }
+        resp = self.session.get("https://api.geevisit.com/ajax.php", params=params).text
+        return resp[1:-1]

main.py

@@ -0,0 +1,82 @@
+import json
+import os
+import time
+from crack import Crack
+import predict
+
+from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+
+
+stats_file = "stats.json"
+
+if not os.path.exists(stats_file):
+    with open(stats_file, "w") as f:
+        json.dump({"total": 0, "success": 0, "failure": 0, "error": 0}, f)
+
+
+def read_stats():
+    with open(stats_file, "r") as f:
+        return json.load(f)
+
+
+def update_stats(msg):
+    stats = read_stats()
+    stats[msg] += 1
+    stats["total"] += 1
+    with open(stats_file, "w") as f:
+        json.dump(stats, f)
+
+
+@app.route("/statistic", methods=["get"])
+def statistic():
+    stats = read_stats()
+    return f"调用{stats['total']}次，成功{stats['success']}次，失败{stats['failure']}次，错误{stats['error']}次"
+
+
+@app.route("/", methods=["POST"])
+def handle_post():
+    data = request.get_json()
+    if "gt" in data and "challenge" in data:
+        crack = Crack(data["gt"], data["challenge"])
+        crack.get_type()
+        crack.get_c_s()
+        crack.ajax()
+        for retry in range(6):
+            a = []
+            type, image = crack.get_pic(retry)
+            t = time.time()
+            if type == "nine":
+                points = predict.nine(image)
+                for x, y in points:
+                    a.append(f"{x}_{y}")
+            elif type == "icon":
+                points = predict.icon(image)
+                for x, y in points:
+                    left = round(x / 333 * 10000)
+                    top = round(y / 333 * 10000)
+                    a.append(f"{left}_{top}")
+            else:
+                update_stats("error")
+                return jsonify({"status": "error", "msg": "unsupported type"})
+            wait_time = t + 2 - time.time()
+            if wait_time > 0:
+                time.sleep(wait_time)
+            res = eval(crack.verify(a))
+            if res["data"]["result"] == "success":
+                update_stats("success")
+                return jsonify(
+                    {"status": "success", "validate": res["data"]["validate"]}
+                )
+        update_stats("failure")
+        return jsonify({"status": "failed"})
+    else:
+        return (
+            jsonify({"status": "error", "message": "Missing 'gt' or 'challenge'"}),
+            400,
+        )
+
+
+if __name__ == "__main__":
+    app.run()

mousepath.json

@@ -0,0 +1,336 @@
+[
+	["move", 170, 514, 1721639139496, "pointermove"],
+	["move", 171, 514, 1721639139518, "pointermove"],
+	["move", 172, 514, 1721639139564, "pointermove"],
+	["move", 174, 514, 1721639139578, "pointermove"],
+	["move", 174, 514, 1721639139586, "pointermove"],
+	["move", 175, 514, 1721639139646, "pointermove"],
+	["move", 178, 514, 1721639139651, "pointermove"],
+	["move", 177, 513, 1721639139652, "mousemove"],
+	["move", 179, 514, 1721639139660, "pointermove"],
+	["move", 182, 514, 1721639139676, "pointermove"],
+	["move", 186, 514, 1721639139682, "pointermove"],
+	["move", 190, 514, 1721639139690, "pointermove"],
+	["move", 195, 514, 1721639139697, "pointermove"],
+	["move", 195, 513, 1721639139698, "mousemove"],
+	["move", 202, 514, 1721639139705, "pointermove"],
+	["move", 210, 514, 1721639139712, "pointermove"],
+	["move", 218, 514, 1721639139719, "pointermove"],
+	["move", 230, 513, 1721639139727, "pointermove"],
+	["move", 242, 512, 1721639139735, "pointermove"],
+	["move", 254, 510, 1721639139741, "pointermove"],
+	["move", 263, 507, 1721639139749, "pointermove"],
+	["move", 263, 507, 1721639139750, "mousemove"],
+	["move", 274, 504, 1721639139757, "pointermove"],
+	["move", 283, 503, 1721639139765, "pointermove"],
+	["move", 283, 503, 1721639139766, "mousemove"],
+	["move", 292, 501, 1721639139772, "pointermove"],
+	["move", 302, 500, 1721639139779, "pointermove"],
+	["move", 310, 500, 1721639139787, "pointermove"],
+	["move", 316, 499, 1721639139795, "pointermove"],
+	["move", 316, 499, 1721639139796, "mousemove"],
+	["move", 322, 498, 1721639139801, "pointermove"],
+	["move", 326, 498, 1721639139810, "pointermove"],
+	["move", 328, 497, 1721639139817, "pointermove"],
+	["move", 330, 497, 1721639139825, "pointermove"],
+	["move", 331, 497, 1721639139831, "pointermove"],
+	["move", 332, 497, 1721639139839, "pointermove"],
+	["move", 334, 496, 1721639139856, "pointermove"],
+	["move", 335, 496, 1721639139861, "pointermove"],
+	["move", 336, 496, 1721639139869, "pointermove"],
+	["move", 336, 496, 1721639139870, "mousemove"],
+	["move", 338, 496, 1721639139886, "pointermove"],
+	["move", 339, 496, 1721639139891, "pointermove"],
+	["move", 342, 495, 1721639139900, "pointermove"],
+	["move", 346, 495, 1721639139907, "pointermove"],
+	["move", 350, 494, 1721639139916, "pointermove"],
+	["move", 354, 493, 1721639139921, "pointermove"],
+	["move", 359, 493, 1721639139929, "pointermove"],
+	["move", 359, 493, 1721639139930, "mousemove"],
+	["move", 364, 492, 1721639139937, "pointermove"],
+	["move", 370, 491, 1721639139946, "pointermove"],
+	["move", 375, 490, 1721639139951, "pointermove"],
+	["move", 382, 489, 1721639139959, "pointermove"],
+	["move", 387, 488, 1721639139967, "pointermove"],
+	["move", 394, 487, 1721639139975, "pointermove"],
+	["move", 400, 487, 1721639139981, "pointermove"],
+	["move", 406, 486, 1721639139989, "pointermove"],
+	["move", 411, 485, 1721639139997, "pointermove"],
+	["move", 415, 483, 1721639140006, "pointermove"],
+	["move", 419, 482, 1721639140011, "pointermove"],
+	["move", 422, 481, 1721639140019, "pointermove"],
+	["move", 426, 480, 1721639140028, "pointermove"],
+	["move", 427, 479, 1721639140041, "pointermove"],
+	["move", 430, 478, 1721639140050, "pointermove"],
+	["move", 430, 477, 1721639140057, "pointermove"],
+	["move", 431, 476, 1721639140066, "pointermove"],
+	["move", 431, 475, 1721639140072, "pointermove"],
+	["move", 431, 474, 1721639140088, "pointermove"],
+	["move", 431, 472, 1721639140102, "pointermove"],
+	["move", 431, 471, 1721639140110, "pointermove"],
+	["move", 431, 469, 1721639140118, "pointermove"],
+	["move", 431, 468, 1721639140126, "pointermove"],
+	["move", 431, 466, 1721639140132, "pointermove"],
+	["move", 431, 464, 1721639140148, "pointermove"],
+	["move", 431, 462, 1721639140156, "pointermove"],
+	["move", 431, 460, 1721639140186, "pointermove"],
+	["move", 431, 459, 1721639140261, "pointermove"],
+	["move", 432, 460, 1721639140530, "pointermove"],
+	["move", 432, 462, 1721639140538, "pointermove"],
+	["move", 434, 462, 1721639140546, "pointermove"],
+	["move", 434, 463, 1721639140552, "pointermove"],
+	["move", 432, 464, 1721639140912, "pointermove"],
+	["move", 429, 466, 1721639140920, "pointermove"],
+	["move", 426, 467, 1721639140928, "pointermove"],
+	["move", 422, 470, 1721639140934, "pointermove"],
+	["move", 417, 471, 1721639140942, "pointermove"],
+	["move", 413, 472, 1721639140950, "pointermove"],
+	["move", 408, 474, 1721639140964, "pointermove"],
+	["move", 404, 475, 1721639140972, "pointermove"],
+	["move", 399, 475, 1721639140980, "pointermove"],
+	["move", 395, 476, 1721639140988, "pointermove"],
+	["move", 390, 478, 1721639140994, "pointermove"],
+	["move", 386, 478, 1721639141002, "pointermove"],
+	["move", 381, 479, 1721639141010, "pointermove"],
+	["move", 376, 479, 1721639141018, "pointermove"],
+	["move", 370, 479, 1721639141024, "pointermove"],
+	["move", 364, 479, 1721639141032, "pointermove"],
+	["move", 357, 479, 1721639141040, "pointermove"],
+	["move", 352, 479, 1721639141048, "pointermove"],
+	["move", 347, 479, 1721639141054, "pointermove"],
+	["move", 342, 479, 1721639141062, "pointermove"],
+	["move", 339, 478, 1721639141070, "pointermove"],
+	["move", 336, 478, 1721639141078, "pointermove"],
+	["move", 334, 478, 1721639141084, "pointermove"],
+	["move", 333, 478, 1721639141100, "pointermove"],
+	["move", 332, 479, 1721639141138, "pointermove"],
+	["move", 331, 479, 1721639141152, "pointermove"],
+	["move", 330, 479, 1721639141160, "pointermove"],
+	["move", 329, 480, 1721639141168, "pointermove"],
+	["move", 328, 482, 1721639141182, "pointermove"],
+	["move", 327, 483, 1721639141198, "pointermove"],
+	["move", 326, 483, 1721639141204, "pointermove"],
+	["move", 324, 484, 1721639141212, "pointermove"],
+	["move", 322, 486, 1721639141220, "pointermove"],
+	["move", 319, 487, 1721639141228, "pointermove"],
+	["move", 316, 488, 1721639141234, "pointermove"],
+	["move", 313, 491, 1721639141242, "pointermove"],
+	["move", 310, 494, 1721639141250, "pointermove"],
+	["move", 306, 495, 1721639141258, "pointermove"],
+	["move", 304, 495, 1721639141264, "pointermove"],
+	["move", 301, 498, 1721639141272, "pointermove"],
+	["move", 299, 499, 1721639141280, "pointermove"],
+	["move", 297, 499, 1721639141288, "pointermove"],
+	["move", 295, 499, 1721639141294, "pointermove"],
+	["move", 293, 499, 1721639141302, "pointermove"],
+	["move", 292, 500, 1721639141310, "pointermove"],
+	["move", 291, 500, 1721639141324, "pointermove"],
+	["down", 291, 500, 1721639141543, "pointerdown"],
+	["up", 291, 500, 1721639141580, "pointerup"],
+	["move", 294, 500, 1721639141654, "pointermove"],
+	["move", 299, 500, 1721639141662, "pointermove"],
+	["move", 306, 500, 1721639141670, "pointermove"],
+	["move", 314, 499, 1721639141678, "pointermove"],
+	["move", 323, 498, 1721639141684, "pointermove"],
+	["move", 334, 497, 1721639141692, "pointermove"],
+	["move", 344, 495, 1721639141708, "pointermove"],
+	["move", 356, 493, 1721639141714, "pointermove"],
+	["move", 367, 491, 1721639141722, "pointermove"],
+	["move", 378, 489, 1721639141730, "pointermove"],
+	["move", 387, 487, 1721639141738, "pointermove"],
+	["move", 395, 485, 1721639141744, "pointermove"],
+	["move", 402, 483, 1721639141752, "pointermove"],
+	["move", 407, 482, 1721639141760, "pointermove"],
+	["move", 410, 481, 1721639141768, "pointermove"],
+	["move", 412, 480, 1721639141774, "pointermove"],
+	["move", 414, 479, 1721639141924, "pointermove"],
+	["move", 415, 479, 1721639141932, "pointermove"],
+	["move", 416, 478, 1721639141940, "pointermove"],
+	["move", 419, 477, 1721639141949, "pointermove"],
+	["move", 422, 475, 1721639141954, "pointermove"],
+	["move", 426, 475, 1721639141962, "pointermove"],
+	["move", 430, 473, 1721639141970, "pointermove"],
+	["move", 434, 472, 1721639141978, "pointermove"],
+	["move", 436, 470, 1721639141984, "pointermove"],
+	["move", 440, 469, 1721639141992, "pointermove"],
+	["move", 443, 468, 1721639142000, "pointermove"],
+	["move", 446, 467, 1721639142008, "pointermove"],
+	["move", 450, 466, 1721639142014, "pointermove"],
+	["move", 450, 466, 1721639142022, "pointermove"],
+	["move", 451, 466, 1721639142030, "pointermove"],
+	["move", 452, 466, 1721639142038, "pointermove"],
+	["move", 454, 466, 1721639142044, "pointermove"],
+	["down", 454, 466, 1721639142082, "pointerdown"],
+	["up", 454, 466, 1721639142134, "pointerup"],
+	["move", 454, 467, 1721639142194, "pointermove"],
+	["move", 454, 471, 1721639142202, "pointermove"],
+	["move", 451, 475, 1721639142210, "pointermove"],
+	["move", 448, 479, 1721639142216, "pointermove"],
+	["move", 444, 483, 1721639142224, "pointermove"],
+	["move", 439, 488, 1721639142232, "pointermove"],
+	["move", 434, 494, 1721639142240, "pointermove"],
+	["move", 429, 499, 1721639142246, "pointermove"],
+	["move", 424, 503, 1721639142262, "pointermove"],
+	["move", 419, 508, 1721639142270, "pointermove"],
+	["move", 415, 512, 1721639142276, "pointermove"],
+	["move", 411, 516, 1721639142284, "pointermove"],
+	["move", 407, 520, 1721639142292, "pointermove"],
+	["move", 404, 524, 1721639142300, "pointermove"],
+	["move", 402, 527, 1721639142306, "pointermove"],
+	["move", 399, 530, 1721639142314, "pointermove"],
+	["move", 398, 531, 1721639142322, "pointermove"],
+	["move", 397, 531, 1721639142330, "pointermove"],
+	["move", 396, 532, 1721639142336, "pointermove"],
+	["move", 395, 534, 1721639142344, "pointermove"],
+	["move", 394, 535, 1721639142352, "pointermove"],
+	["move", 393, 535, 1721639142360, "pointermove"],
+	["move", 392, 536, 1721639142366, "pointermove"],
+	["move", 391, 538, 1721639142374, "pointermove"],
+	["move", 390, 539, 1721639142382, "pointermove"],
+	["move", 389, 539, 1721639142390, "pointermove"],
+	["move", 387, 540, 1721639142396, "pointermove"],
+	["move", 386, 542, 1721639142404, "pointermove"],
+	["move", 384, 543, 1721639142412, "pointermove"],
+	["move", 383, 546, 1721639142420, "pointermove"],
+	["move", 381, 547, 1721639142426, "pointermove"],
+	["move", 379, 550, 1721639142434, "pointermove"],
+	["move", 378, 551, 1721639142450, "pointermove"],
+	["move", 377, 551, 1721639142456, "pointermove"],
+	["move", 376, 554, 1721639142464, "pointermove"],
+	["move", 376, 555, 1721639142472, "pointermove"],
+	["move", 375, 556, 1721639142480, "pointermove"],
+	["move", 373, 558, 1721639142486, "pointermove"],
+	["move", 372, 559, 1721639142495, "pointermove"],
+	["move", 371, 562, 1721639142502, "pointermove"],
+	["move", 370, 563, 1721639142511, "pointermove"],
+	["move", 370, 564, 1721639142516, "pointermove"],
+	["move", 369, 566, 1721639142524, "pointermove"],
+	["down", 369, 566, 1721639142554, "pointerdown"],
+	["up", 369, 566, 1721639142606, "pointerup"],
+	["move", 369, 564, 1721639142652, "pointermove"],
+	["move", 369, 562, 1721639142661, "pointermove"],
+	["move", 368, 558, 1721639142666, "pointermove"],
+	["move", 366, 554, 1721639142674, "pointermove"],
+	["move", 363, 548, 1721639142682, "pointermove"],
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+	["move", 299, 480, 1721639142742, "pointermove"],
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+	["move", 255, 402, 1721639143050, "pointermove"],
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+	["move", 439, 660, 1721639143656, "pointermove"],
+	["move", 440, 662, 1721639143672, "pointermove"],
+	["move", 442, 663, 1721639143678, "pointermove"],
+	["move", 443, 663, 1721639143686, "pointermove"],
+	["move", 444, 664, 1721639143695, "pointermove"],
+	["move", 446, 666, 1721639143702, "pointermove"],
+	["move", 446, 666, 1721639143708, "pointermove"],
+	["move", 447, 667, 1721639143716, "pointermove"],
+	["move", 447, 666, 1721639143717, "mousemove"],
+	["move", 448, 667, 1721639143724, "pointermove"],
+	["move", 450, 667, 1721639143732, "pointermove"],
+	["move", 450, 670, 1721639143746, "pointermove"],
+	["move", 452, 671, 1721639143754, "pointermove"],
+	["move", 454, 672, 1721639143762, "pointermove"],
+	["move", 456, 675, 1721639143768, "pointermove"],
+	["move", 458, 676, 1721639143776, "pointermove"],
+	["move", 460, 679, 1721639143784, "pointermove"],
+	["move", 462, 680, 1721639143792, "pointermove"],
+	["move", 466, 683, 1721639143798, "pointermove"],
+	["move", 467, 684, 1721639143806, "pointermove"],
+	["move", 470, 687, 1721639143814, "pointermove"],
+	["move", 470, 688, 1721639143822, "pointermove"],
+	["move", 472, 691, 1721639143828, "pointermove"],
+	["move", 474, 692, 1721639143836, "pointermove"],
+	["move", 475, 695, 1721639143844, "pointermove"],
+	["move", 478, 696, 1721639143852, "pointermove"],
+	["move", 479, 699, 1721639143858, "pointermove"],
+	["move", 482, 700, 1721639143866, "pointermove"],
+	["move", 482, 703, 1721639143874, "pointermove"],
+	["move", 483, 703, 1721639143882, "pointermove"],
+	["move", 483, 704, 1721639143888, "pointermove"],
+	["move", 483, 706, 1721639143912, "pointermove"],
+	["down", 483, 706, 1721639143965, "pointerdown"],
+	["focus", 1721639143965],
+	["up", 483, 706, 1721639144024, "pointerup"]
+]

predict/__init__.py

@@ -0,0 +1,8 @@
+import sys
+import os
+
+current_dir = os.path.dirname(__file__)
+sys.path.append(current_dir)
+
+from nine.nine import nine
+from icon.icon import icon

predict/icon/icon.py

@@ -0,0 +1,73 @@
+import os
+import ddddocr
+from PIL import Image
+from io import BytesIO
+import numpy as np
+import onnxruntime as ort
+
+det = ddddocr.DdddOcr(det=True, ocr=False)
+current_dir = os.path.dirname(os.path.abspath(__file__))
+model_path = os.path.join(current_dir, "siamese.onnx")
+Siamese = ort.InferenceSession(model_path)
+
+
+def get_icons(image_bytes):
+    def remove_subicon(data):
+        result = []
+        for i in data:
+            remove = False
+            for j in data:
+                if (
+                    i != j
+                    and i[0] >= j[0]
+                    and i[1] >= j[1]
+                    and i[2] <= j[2]
+                    and i[3] <= j[3]
+                ):
+                    remove = True
+            if not remove:
+                result.append(i)
+        return result
+
+    img = Image.open(BytesIO(image_bytes))
+    bboxes = det.detection(image_bytes)
+    small_bboxes = [i for i in bboxes if i[1] > 300]
+    big_bboxes = [i for i in bboxes if i[1] <= 300]
+    small_bboxes = sorted(small_bboxes, key=lambda x: x[0])
+    big_bboxes = remove_subicon(big_bboxes)
+    small_images = [img.crop(i) for i in small_bboxes]
+    big_images = [img.crop(i) for i in big_bboxes]
+    return big_bboxes, small_images, big_images
+
+
+def calculate_similarity(img1, img2):
+    def preprocess_image(img, size=(105, 105)):
+        img_resized = img.resize(size)
+        img_normalized = np.array(img_resized) / 255.0
+        img_transposed = np.transpose(img_normalized, (2, 0, 1))
+        img_expanded = np.expand_dims(img_transposed, axis=0).astype(np.float32)
+        return img_expanded
+
+    image_data_1 = preprocess_image(img1)
+    image_data_2 = preprocess_image(img2)
+
+    inputs = {"input": image_data_1, "input.53": image_data_2}
+
+    output = Siamese.run(None, inputs)
+
+    output_sigmoid = 1 / (1 + np.exp(-output[0]))
+    similarity_score = output_sigmoid[0][0]
+
+    return similarity_score
+
+
+def icon(image_bytes):
+    big_bboxes, small_images, big_images = get_icons(image_bytes)
+    ans = []
+    for i in small_images:
+        similarities = [calculate_similarity(i, j) for j in big_images]
+        target_bbox = big_bboxes[similarities.index(max(similarities))]
+        x = (target_bbox[0] + target_bbox[2]) / 2
+        y = (target_bbox[1] + target_bbox[3]) / 2
+        ans.append((x, y))
+    return ans