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geetest3_fullpage/mian.py

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+# -*- coding: utf-8 -*-
+import random,threading, execjs, requests, time, json
+
+
+def main():
+    frist_time = str(round(time.time() * 1000))
+    url = "https://www.geetest.com/demo/gt/register-fullpage?t=" + str(round(time.time() * 1000))
+    res = requests.get(url).json()
+    gt = res['gt']
+    challenge = res['challenge']
+    with open('jiyan.js', 'r', encoding='utf-8') as f:
+        js = execjs.compile(f.read())
+    key = js.call('get_key')
+    w = js.call('get_w1', gt, challenge, key)
+    url = "https://apiv6.geetest.com/get.php?gt=" + gt + "&challenge=" + challenge + "&lang=zh-cn&pt=0&client_type=web&w=" + w + "&callback=geetest_" + str(
+        round(time.time() * 1000))
+    res = requests.get(url).text
+    res = json.loads(res[res.index("(") + 1:res.rindex(")")])
+    s = res['data']['s']
+    w = js.call('get_w2',s,str(random.randint(500, 3000)),gt,challenge,frist_time,key)
+    url = "https://api.geetest.com/ajax.php?gt=" + gt + "&challenge=" + challenge + "&lang=zh-cn&pt=0&client_type=web&w=" + w + "&callback=geetest_" + str(
+        round(time.time() * 1000))
+    res = requests.get(url).text
+    res = json.loads(res[res.index("(") + 1:res.rindex(")")])
+    print(res)
+
+
+if __name__ == '__main__':
+    for i in range(1):
+        thr = threading.Thread(target=main)
+        thr.start()
+        time.sleep(2)

geetest3_slide/gap.py

@@ -0,0 +1,92 @@
+# -*- coding: utf-8 -*-
+import cv2,os
+from PIL import Image
+class SlideCrack(object):
+    def __init__(self, gap, bg, out):
+        self.gap = gap
+        self.bg = bg
+        self.out = out
+
+    @staticmethod
+    def clear_white(img):
+        # 清除图片的空白区域，这里主要清除滑块的空白
+        img = cv2.imread(img)
+        rows, cols, channel = img.shape
+        min_x = 255
+        min_y = 255
+        max_x = 0
+        max_y = 0
+        for x in range(1, rows):
+            for y in range(1, cols):
+                t = set(img[x, y])
+                if len(t) >= 2:
+                    if x <= min_x:
+                        min_x = x
+                    elif x >= max_x:
+                        max_x = x
+
+                    if y <= min_y:
+                        min_y = y
+                    elif y >= max_y:
+                        max_y = y
+        img1 = img[min_x:max_x, min_y: max_y]
+        return img1
+
+    def template_match(self, tpl, target):
+        th, tw = tpl.shape[:2]
+        result = cv2.matchTemplate(target, tpl, cv2.TM_CCOEFF_NORMED)
+        # 寻找矩阵(一维数组当作向量,用Mat定义) 中最小值和最大值的位置
+        min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
+        tl = max_loc
+        br = (tl[0] + tw, tl[1] + th)
+        cv2.rectangle(target, tl, br, (0, 0, 255), 2)
+        cv2.imwrite(self.out, target)
+        return tl[0]
+    @staticmethod
+    def image_edge_detection(img):
+        edges = cv2.Canny(img, 100, 200)
+        return edges
+    def discern(self):
+        img1 = self.clear_white(self.gap)
+        img1 = cv2.cvtColor(img1, cv2.COLOR_RGB2GRAY)
+        slide = self.image_edge_detection(img1)
+
+        back = cv2.imread(self.bg, 0)
+        back = self.image_edge_detection(back)
+
+        slide_pic = cv2.cvtColor(slide, cv2.COLOR_GRAY2RGB)
+        back_pic = cv2.cvtColor(back, cv2.COLOR_GRAY2RGB)
+        x = self.template_match(slide_pic, back_pic)
+        # 输出横坐标, 即 滑块在图片上的位置
+        return x
+def get_gap():
+    # 滑块图片
+    # image1 = "img/tukuai.png"
+    image1 = r'./img/slide.png'
+    # 背景图片
+    # image2 = "img/beijing.png"
+    image2 = r'./img/bg.png'
+    # 处理结果图片,用红线标注
+    #image3 = "img/show_image.png"
+    image3 = r'./img/show_image.png'
+    sc = SlideCrack(image1, image2, image3)
+    os.remove('./img/oldbg.png')
+    os.remove('./img/oldallbg.png')
+    os.remove('./img/newallbg.png')
+    return sc.discern()
+def restore_picture():
+    img_list = ["./img/oldbg.png", "./img/oldallbg.png"]
+    for index, img in enumerate(img_list):
+        image = Image.open(img)
+        s = Image.new("RGBA", (260, 160))
+        ut = [39, 38, 48, 49, 41, 40, 46, 47, 35, 34, 50, 51, 33, 32, 28, 29, 27, 26, 36, 37, 31, 30, 44, 45, 43,42,12, 13, 23, 22, 14, 15, 21, 20, 8, 9, 25, 24, 6, 7, 3, 2, 0, 1, 11, 10, 4, 5, 19, 18, 16, 17]
+        height_half = 80
+        for inx in range(52):
+            c = ut[inx] % 26 * 12 + 1
+            u = height_half if ut[inx] > 25 else 0
+            l_ = image.crop(box=(c, u, c + 10, u + 80))
+            s.paste(l_, box=(inx % 26 * 10, 80 if inx > 25 else 0))
+        if index == 0:
+            s.save("./img/bg.png")
+        else:
+            s.save("./img/newallbg.png")

geetest3_slide/mian.py

@@ -0,0 +1,47 @@
+# -*- coding: utf-8 -*-
+import threading,execjs, requests, time, json
+from urllib import request
+from gap import *
+from trace import *
+
+
+def get_image():
+    url = "https://www.geetest.com/demo/gt/register-slide?t=" + str(round(time.time() * 1000))
+    res = requests.get(url).json()
+    gt = res['gt']
+    challenge = res['challenge']
+    res = requests.get("https://api.geetest.com/ajax.php?gt=" + gt + "&challenge=" + challenge + "&lang=zh-cn&pt=0&w=&callback=geetest_" + str(
+            round(time.time() * 1000))).text
+    url = "https://api.geetest.com/get.php?is_next=true&type=slide3&gt=" + gt + "&challenge=" + challenge + "&lang=zh-cn&https=true&protocol=https%3A%2F%2F&offline=false&product=embed&api_server=api.geetest.com&isPC=true&autoReset=true&width=100%25&callback=geetest_" + str(
+        round(time.time() * 1000))
+    res = requests.get(url).text
+    res = json.loads(res[res.index("(") + 1:res.rindex(")")])
+    challenge = res['challenge']
+    s = res['s']
+    request.urlretrieve('https://static.geetest.com/' + res['fullbg'], 'img/oldallbg.png')
+    request.urlretrieve('https://static.geetest.com/' + res['bg'], 'img/oldbg.png')
+    request.urlretrieve('https://static.geetest.com/' + res['slice'], 'img/slide.png')
+    restore_picture()
+    distance = get_gap()
+    track = get_track(distance - 5)
+    return gt, challenge, s, distance, track
+
+def main():
+    gt, challenge, s, distance, track = get_image()
+    with open('jiyan.js', 'r', encoding='utf-8') as f:
+        js = execjs.compile(f.read())
+    passtime = track[-1][-1]
+    track = js.call('get_encode_trace', track, s)
+    w = js.call('get_w', distance - 5, track, challenge, challenge[:32], passtime, str(random.randint(100, 200)),gt)
+    url = "https://api.geetest.com/ajax.php?gt=" + gt + "&challenge=" + challenge + "&lang=zh-cn&pt=0&w=" + w + "&callback=geetest_" + str(
+        round(time.time() * 1000))
+    res = requests.get(url).text
+    res = json.loads(res[res.index("(") + 1:res.rindex(")")])
+    print(res)
+
+
+if __name__ == '__main__':
+    for i in range(1):
+        thr = threading.Thread(target=main)
+        thr.start()
+        time.sleep(2)

geetest3_slide/trace.py

@@ -0,0 +1,47 @@
+import random
+
+
+def __ease_out_expo(sep):
+    '''
+        轨迹相关操作
+    '''
+    if sep == 1:
+        return 1
+    else:
+        return 1 - pow(2, -10 * sep)
+
+def get_track(distance):
+    """
+    根据滑动距离生成滑动轨迹
+    :param distance: 需要滑动的距离
+    :return: 滑动轨迹<type 'list'>: [[x,y,t], ...]
+        x: 已滑动的横向距离
+        y: 已滑动的纵向距离, 除起点外, 均为0
+        t: 滑动过程消耗的时间, 单位: 毫秒
+    """
+
+    if not isinstance(distance, int) or distance < 0:
+        raise ValueError(f"distance类型必须是大于等于0的整数: distance: {distance}, type: {type(distance)}")
+    # 初始化轨迹列表
+    slide_track = [
+        [random.randint(-50, -10), random.randint(-50, -10), 0],
+        [0, 0, 0],
+    ]
+    # 共记录count次滑块位置信息
+    count = 30 + int(distance / 2)
+    # 初始化滑动时间
+    t = random.randint(50, 100)
+    # 记录上一次滑动的距离
+    _x = 0
+    _y = 0
+    for i in range(count):
+        # 已滑动的横向距离
+        x = round(__ease_out_expo(i / count) * distance)
+        # 滑动过程消耗的时间
+        t += random.randint(10, 20)
+        if x == _x:
+            continue
+        slide_track.append([x, _y, t])
+        _x = x
+    slide_track.append(slide_track[-1])
+    return slide_track

geetest4_fullpage/jiyan.js

@@ -0,0 +1,57 @@
+const NodeRSA = require('node-rsa');
+const crypto = require('crypto');
+const CryptoJS = require("crypto-js");
+function get_key() {
+    var s4 = "";
+    for (i = 0; i < 4; i++) {
+        s4 = s4 + ((1 + Math["random"]()) * 65536 | 0)["toString"](16)["substring"](1);
+    }
+    return s4;
+}
+function MD5_Encrypt(word) {
+    return CryptoJS.MD5(word).toString();
+}
+function AES_Encrypt(key, word) {
+    var srcs = CryptoJS.enc.Utf8.parse(word);
+    var encrypted = CryptoJS.AES.encrypt(srcs, CryptoJS.enc.Utf8.parse(key), {
+        iv: CryptoJS.enc.Utf8.parse("0000000000000000"),
+        mode: CryptoJS.mode.CBC,
+        padding: CryptoJS.pad.Pkcs7
+    });
+    return CryptoJS.enc.Hex.stringify(CryptoJS.enc.Base64.parse(encrypted.toString()));
+}
+function RSA_encrypt(data) {
+    const public_key_1 = '00C1E3934D1614465B33053E7F48EE4EC87B14B95EF88947713D25EECBFF7E74C7977D02DC1D9451F79DD5D1C10C29ACB6A9B4D6FB7D0A0279B6719E1772565F09AF627715919221AEF91899CAE08C0D686D748B20A3603BE2318CA6BC2B59706592A9219D0BF05C9F65023A21D2330807252AE0066D59CEEFA5F2748EA80BAB81';
+    const public_key_2 = '10001';
+    const public_key = new NodeRSA();
+    public_key.importKey({
+        n: Buffer.from(public_key_1, 'hex'),
+        e: parseInt(public_key_2, 16),
+    }, 'components-public');
+    const encrypted = crypto.publicEncrypt({
+        key: public_key.exportKey('public'),
+        padding: crypto.constants.RSA_PKCS1_PADDING
+    }, Buffer.from(data));
+    return encrypted.toString('hex');
+}
+
+function get_w(captchaId, lot_number, detail_time, distance) {
+    romdon_key = get_key()
+    pow_msg = "1|0|md5|" + detail_time + "|" + captchaId + "|" + lot_number + "||" + romdon_key
+    xiyu = {
+        "setLeft": distance,
+        "userresponse": distance / (.8876 * 340 / 300),
+        "device_id": "D00D",
+        "lot_number": lot_number,
+        "pow_msg": pow_msg,
+        "pow_sign": MD5_Encrypt(pow_msg),
+        "geetest": "captcha",
+        "lang": "zh",
+        "ep": "123",
+        'cuel': '632729377',
+        "em": {"ph": 0, "cp": 0, "ek": "11", "wd": 1, "nt": 0, "si": 0, "sc": 0}
+    }
+    xiyu = JSON.stringify(xiyu).replace(" ", "").replace("'", '"')
+    w = AES_Encrypt(romdon_key, xiyu)+ RSA_encrypt(romdon_key)
+    return w
+}

geetest4_fullpage/mian.py

@@ -0,0 +1,48 @@
+# -*- coding: utf-8 -*-
+import re, requests, time, uuid, execjs, json
+from lxml import etree
+from urllib import request
+
+
+def get_captchaId():
+    url = "https://www.geetest.com/adaptive-captcha-demo"
+    res = requests.get(url).text
+    js_url = re.search(r'preload" href="(/_next/static/[^"]+\.js)" as="script"/>', res).group(1)
+    res = requests.get("https://www.geetest.com" + js_url).text
+    captchaId = re.search('captchaId:"([0-9a-z]+)"', res).group(1)
+    return captchaId
+
+
+def main(captchaId, challenge):
+    url = "https://gcaptcha4.geetest.com/load?captcha_id=" + captchaId + "&challenge=" + challenge + "&client_type=web&risk_type=ai&lang=zh&callback=geetest_" + str(
+        round(time.time() * 1000))
+    res = requests.get(url).text
+    res = json.loads(res[res.index("(") + 1:res.rindex(")")])
+    lot_number = res['data']['lot_number']
+    detail_time = res['data']["pow_detail"]["datetime"]
+    with open('jiyan.js', 'r', encoding='utf-8') as f:
+        js = execjs.compile(f.read())
+    key = js.call('get_key')
+    w = js.call('get_w', captchaId, lot_number, detail_time)
+    url = "https://gcaptcha4.geetest.com/verify"
+    params = {
+        "callback": "geetest_" + str(round(time.time() * 1000)),
+        "captcha_id": captchaId,
+        "client_type": "web",
+        "lot_number": lot_number,
+        "risk_type": "ai",
+        "payload": res['data']['payload'],
+        "process_token": res['data']['process_token'],
+        "payload_protocol": "1",
+        "pt": "1",
+        "w": w
+    }
+    res = requests.get(url, params=params).text
+    res = json.loads(res[res.index("(") + 1:res.rindex(")")])
+    print('fullpage4:',res)
+
+
+if __name__ == '__main__':
+    captchaId = get_captchaId()
+    challenge = str(uuid.uuid4())
+    main(captchaId, challenge)

geetest4_slide/gap.py

@@ -0,0 +1,89 @@
+# -*- coding: utf-8 -*-
+
+import cv2
+
+
+class SlideCrack(object):
+    def __init__(self, gap, bg, out):
+        """
+        init code
+        :param gap: 缺口图片
+        :param bg: 背景图片
+        :param out: 输出图片
+        """
+        self.gap = gap
+        self.bg = bg
+        self.out = out
+
+    @staticmethod
+    def clear_white(img):
+        # 清除图片的空白区域，这里主要清除滑块的空白
+        img = cv2.imread(img)
+        rows, cols, channel = img.shape
+        min_x = 255
+        min_y = 255
+        max_x = 0
+        max_y = 0
+        for x in range(1, rows):
+            for y in range(1, cols):
+                t = set(img[x, y])
+                if len(t) >= 2:
+                    if x <= min_x:
+                        min_x = x
+                    elif x >= max_x:
+                        max_x = x
+
+                    if y <= min_y:
+                        min_y = y
+                    elif y >= max_y:
+                        max_y = y
+        img1 = img[min_x:max_x, min_y: max_y]
+        return img1
+
+    def template_match(self, tpl, target):
+        th, tw = tpl.shape[:2]
+        result = cv2.matchTemplate(target, tpl, cv2.TM_CCOEFF_NORMED)
+        # 寻找矩阵(一维数组当作向量,用Mat定义) 中最小值和最大值的位置
+        min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(result)
+        tl = max_loc
+        br = (tl[0] + tw, tl[1] + th)
+        # 绘制矩形边框，将匹配区域标注出来
+        # target：目标图像
+        # tl：矩形定点
+        # br：矩形的宽高
+        # (0,0,255)：矩形边框颜色
+        # 1：矩形边框大小
+        cv2.rectangle(target, tl, br, (0, 0, 255), 2)
+        cv2.imwrite(self.out, target)
+        return tl[0]
+
+    @staticmethod
+    def image_edge_detection(img):
+        edges = cv2.Canny(img, 100, 200)
+        return edges
+
+    def discern(self):
+        img1 = self.clear_white(self.gap)
+        img1 = cv2.cvtColor(img1, cv2.COLOR_RGB2GRAY)
+        slide = self.image_edge_detection(img1)
+
+        back = cv2.imread(self.bg, 0)
+        back = self.image_edge_detection(back)
+
+        slide_pic = cv2.cvtColor(slide, cv2.COLOR_GRAY2RGB)
+        back_pic = cv2.cvtColor(back, cv2.COLOR_GRAY2RGB)
+        x = self.template_match(slide_pic, back_pic)
+        # 输出横坐标, 即 滑块在图片上的位置
+        return x
+
+
+def get_gap():
+    # 滑块图片
+    image1 = "img/slide.png"
+    # 背景图片
+    image2 = "img/bg.png"
+
+    # 处理结果图片,用红线标注
+    image3 = "img/show_image.png"
+    sc = SlideCrack(image1, image2, image3)
+    return sc.discern()

geetest4_slide/jiyan.js

@@ -0,0 +1,59 @@
+const NodeRSA = require('node-rsa');
+const crypto = require('crypto');
+const CryptoJS = require("crypto-js");
+function get_key() {
+    var s4 = "";
+    for (i = 0; i < 4; i++) {
+        s4 = s4 + ((1 + Math["random"]()) * 65536 | 0)["toString"](16)["substring"](1);
+    }
+    return s4;
+}
+function MD5_Encrypt(word) {
+    return CryptoJS.MD5(word).toString();
+}
+function AES_Encrypt(key, word) {
+    var srcs = CryptoJS.enc.Utf8.parse(word);
+    var encrypted = CryptoJS.AES.encrypt(srcs, CryptoJS.enc.Utf8.parse(key), {
+        iv: CryptoJS.enc.Utf8.parse("0000000000000000"),
+        mode: CryptoJS.mode.CBC,
+        padding: CryptoJS.pad.Pkcs7
+    });
+    return CryptoJS.enc.Hex.stringify(CryptoJS.enc.Base64.parse(encrypted.toString()));
+}
+function RSA_encrypt(data) {
+    const public_key_1 = '00C1E3934D1614465B33053E7F48EE4EC87B14B95EF88947713D25EECBFF7E74C7977D02DC1D9451F79DD5D1C10C29ACB6A9B4D6FB7D0A0279B6719E1772565F09AF627715919221AEF91899CAE08C0D686D748B20A3603BE2318CA6BC2B59706592A9219D0BF05C9F65023A21D2330807252AE0066D59CEEFA5F2748EA80BAB81';
+    const public_key_2 = '10001';
+    const public_key = new NodeRSA();
+    public_key.importKey({
+        n: Buffer.from(public_key_1, 'hex'),
+        e: parseInt(public_key_2, 16),
+    }, 'components-public');
+    const encrypted = crypto.publicEncrypt({
+        key: public_key.exportKey('public'),
+        padding: crypto.constants.RSA_PKCS1_PADDING
+    }, Buffer.from(data));
+    return encrypted.toString('hex');
+}
+
+function get_w(captchaId, lot_number, detail_time, distance, passtime, track) {
+    romdon_key = get_key()
+    pow_msg = "1|0|md5|" + detail_time + "|" + captchaId + "|" + lot_number + "||" + romdon_key
+    xiyu = {
+        "setLeft": distance,
+        "track": track,
+        "passtime": passtime,
+        "userresponse": distance / (.8876 * 340 / 300),
+        "device_id": "D00D",
+        "lot_number": lot_number,
+        "pow_msg": pow_msg,
+        "pow_sign": MD5_Encrypt(pow_msg),
+        "geetest": "captcha",
+        "lang": "zh",
+        "ep": "123",
+        'cuel': '632729377',
+        "em": {"ph": 0, "cp": 0, "ek": "11", "wd": 1, "nt": 0, "si": 0, "sc": 0}
+    }
+    xiyu = JSON.stringify(xiyu).replace(" ", "").replace("'", '"')
+    w = AES_Encrypt(romdon_key, xiyu)+ RSA_encrypt(romdon_key)
+    return w
+}

geetest4_slide/mian.py

@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+import re, requests, time, uuid, execjs,json
+from lxml import etree
+from urllib import request
+from gap import *
+from trace import *
+
+
+def get_captchaId():
+    url = "https://www.geetest.com/adaptive-captcha-demo"
+    res = requests.get(url).text
+    HTML = etree.HTML(res)
+    js_url = HTML.xpath("//link[contains(@href, 'adaptive-captcha-demo')]")[0].attrib["href"]
+    res = requests.get("https://www.geetest.com" + js_url).text
+    captchaId = re.search('captchaId:"([0-9a-z]+)"', res).group(1)
+    return captchaId
+
+
+def get_image(captchaId, challenge):
+    url = "https://gcaptcha4.geetest.com/load?captcha_id=" + captchaId + "&challenge=" + challenge + "&client_type=web&risk_type=slide&pt=1&lang=zho&callback=geetest_" + str(
+        round(time.time() * 1000))
+    res = requests.get(url).text
+    res = json.loads(res[res.index("(") + 1:res.rindex(")")])
+    request.urlretrieve('https://static.geetest.com/' + res['data']['bg'], 'img/bg.png')
+    request.urlretrieve('https://static.geetest.com/' + res['data']['slice'], 'img/slide.png')
+    distance = get_gap()
+    track = get_track(distance)
+    return res, distance, track
+
+
+def main(captchaId, challenge):
+    res, distance, track = get_image(captchaId, challenge)
+    lot_number = res['data']['lot_number']
+    passtime = track[-1][-1]
+    detail_time = res['data']["pow_detail"]["datetime"]
+    with open('jiyan.js', 'r', encoding='utf-8') as f:
+        js = execjs.compile(f.read())
+    key = js.call('get_key')
+    w = js.call('get_w', captchaId, lot_number, detail_time, distance, passtime, track)
+    url = "https://gcaptcha4.geetest.com/verify"
+    params = {
+        "callback": "geetest_" + str(round(time.time() * 1000)),
+        "captcha_id": captchaId,
+        "client_type": "web",
+        "lot_number": lot_number,
+        "risk_type": "slide",
+        "payload": res['data']['payload'],
+        "process_token": res['data']['process_token'],
+        "payload_protocol": "1",
+        "pt": "1",
+        "w": w
+    }
+    res = requests.get(url, params=params).text
+    res = json.loads(res[res.index("(") + 1:res.rindex(")")])
+    print(res)
+
+if __name__ == '__main__':
+    captchaId = get_captchaId()
+    challenge = str(uuid.uuid4())
+    main(captchaId, challenge)

geetest4_slide/trace.py

@@ -0,0 +1,33 @@
+# -*- coding: utf-8 -*-
+import random
+
+
+def __ease_out_expo(x):
+    if x == 1:
+        return 1
+    else:
+        return 1 - pow(2, -10 * x)
+def get_track(distance):
+    if not isinstance(distance, int) or distance < 0:
+        raise ValueError(f"distance类型必须是大于等于0的整数: distance: {distance}, type: {type(distance)}")
+    # 初始化轨迹列表
+    slide_track = [[random.randint(20, 60), random.randint(10, 40), 0]]
+    # 共记录count次滑块位置信息
+    count = 30 + int(distance / 2)
+    # 初始化滑动时间
+    t = random.randint(50, 100)
+    # 记录上一次滑动的距离
+    _x = 0
+    _y = 0
+    for i in range(count):
+        # 已滑动的横向距离
+        x = round(__ease_out_expo(i / count) * distance)
+        # 滑动过程消耗的时间
+        t = random.randint(10, 20)
+        if x == _x:
+            continue
+        slide_track.append([x - _x, _y, t])
+        _x = x
+    slide_track.append([0, 0, random.randint(200, 300)])
+    return slide_track
+