как послать аудио в км-2?

rostonix · 16.12.2015

Реализуете API того же антигейта, просто вместо картинки отправляете mp3 файл в base64
и дополнительные параметры:
CapMonsterModule=ZennoLab.AudioReCaptcha&ParallelMode=true

rostonix · 18.12.2015

не знаю что это за библиотека.
Вот официальные доки http://anti-captcha.com/apidoc

rostonix · 21.12.2015

все библиотеки постера реализовывают стандартные API сервисов распознавания каптч.
Зеннопостер 3 не поддерживает ни сторонние либы, ни работу в коде. Если вы хотели в третьем постере работать - не вариант

mmmaks2004 · 22.12.2015

Тоже столкнулся с проблемой передачи аудио капчи не из Зенно.
Использую демо-версию Capmonster 2.
Пытаюсь передать через форму закодированный файл mp3 в base64 и URLEncode

HTML:

<html>
<head>
</head>
<body>
<form method="post" action="http://rucaptcha.com/in.php?CapMonsterModule=ZennoLab.AudioReCaptcha&ParallelMode=true">
<input type="hidden" name="method" value="base64">
Ключ от учетной записи:
<input type="text" name="key" value="YOUR_APIKEY">
Тело файла капчи закодированное в base64:
<textarea name="body">BASE64_FILE</textarea>
<input type="submit" value="загрузить и получить ID">
</form>
</body>
</html>

Выдает ошибку: ERROR
В логах Capmonster-а ничего нет.
Может подскажете, что не так?

mmmaks2004 · 22.12.2015

Вообщем передача и обработка Capmonster-ом получилась.
Но на выходе результат пустой. Не распознает Capmonster ничего.
Что-то нужно доставить для распознавания аудио?

mmmaks2004 · 22.12.2015

В логах пишет, что не находит CNNLoader.dll и ZennoLab.Teaching.dll.
Они обязательно нужны и где их взять?
Или нужно какие-то mp3 кодеки поставить под XP?

Код:

2015-12-22 22:55:20.3437|CaptchaWebService: get redirection html|
2015-12-22 22:55:21.0156|CaptchaWebService LoadModule|System.DllNotFoundException: Unable to load DLL 'CNNLoader.dll': The specified module could not be found. (Exception from HRESULT: 0x8007007E)
   at ZennoLab.CNN.Net.ConNN.decrypt(Byte[] key, Int32 keyLen, Byte[] iv, Int32 ivLen, Byte[] input, Int32 inputLen, Byte[] output, Int32 blockLen)
   at ZennoLab.CNN.Net.ConNN.FromStream(Stream stream)
   at ZennoLab.CapthaService.Types.UnZipData.C0XtuymUxBoG5ZBX4RaK(Object )
   at ZennoLab.CapthaService.Types.UnZipData.UnZipModule(String path, Boolean fullLoad)
2015-12-22 22:55:21.0156|RecognizingModule CheckingFreeMemory|System.DllNotFoundException: Unable to load DLL 'ZennoLab.Teaching.dll': The specified module could not be found. (Exception from HRESULT: 0x8007007E)
   at ZennoLab.CapthaService.Modules.RecognizingModule._CheckFreeVideoMemory()
   at ZennoLab.CapthaService.Modules.RecognizingModule.CheckingFreeMemory()
2015-12-22 22:55:21.0156|RecognizingModule Recognize|System.NullReferenceException: Object reference not set to an instance of an object.
   at ZennoLab.CapthaService.Modules.RecognizingModule.XyKHdCzVVmFWXk3KOVu(Object )
   at ZennoLab.CapthaService.Modules.RecognizingModule.LuGD3Ld852(Int32  , String  )
   at ZennoLab.CapthaService.Modules.RecognizingModule.Recognize(Image image, String task, Boolean isFullAnswer, Boolean parallelMode, String& error)
2015-12-22 22:55:21.0312|CaptchaWebService: Recognize recognition was successfully, was got result = "(, 0, 0)" for type = ZennoLab.AudioReCaptcha.Put it to the results queue. ID = 5|

mmmaks2004 · 23.12.2015

А может кто-то дать mp3, закодированный в Base64 и который распознается у Вас модулем Audiorecaptcha?

rostonix · 23.12.2015

а в папке программы эти dll есть?
E:\Program Files\ZennoLab\CapMonster Pro\Progs

mmmaks2004 · 23.12.2015

Мда, не доставилось наверное, переставил, dll-появились - запустилось и распознало.
Спасибо.

rostonix · 23.12.2015

или антивирус/вирус хулиганит

Terikon · 06.02.2016

Подниму тему, ни как не пойму что делать выдаёт ERROR
Вот форма

HTML:

<html>
<head>
</head>
<body>
<form method="post" action="http://rucaptcha.com/in.php">
<input type="hidden" name="method" value="base64">
<input type="hidden" name="CapMonsterModule" value="ZennoLab.AudioReCaptcha">
<input type="hidden" name="ParallelMode" value="true">
Ключ от учетной записи:
<input type="text" name="key" value="YOUR_APIKEY">
Тело файла капчи закодированное в base64:
<textarea name="body"></textarea>
<input type="submit" value="загрузить и получить ID">
</form>
</body>
</html>

вот аудио кодированная в base64

Код:

data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/wAALCAA5ASwBAREA/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APf6KKKKKKKKKKKKyfEniTTPCmh3Gr6rP5dtCOAOXkbsiDux/wDrnABNfMOtfHXxtqOpTTWN+um2jOGitoYY32AHIBdlJY8DPQHngA4rqPCv7Rd9bFbfxTp4vIv+fqzASUcHqhIVsnA4K4GetesaP8WfA+tIvk+ILW3kKB2jvSbcrnHy5fCkjPYn2zXYwzRXEEc8EiSxSKHSRGDKykZBBHUEU+iiiiiiiiiiiiiiiiiiiiiiiiimu6RxtJIyqiglmY4AA7k1Rtdd0i+aVbTVbG4MWBIIbhH2ZzjODxnB/I15trXjPxF4H+I9na6/eW03hnVJmMU/lhGgBAAVjnACnBPqM131n4x8MajMkNn4i0q4lcgLHHeRsxJ6AAHNbQYNnaQcHBwe9LXjXxJ+ODeFdbm0PQ7G3ury3Kie4uGJjRiMlAqkEkZGTkYORg14L4p8ba/4zuop9bv2nEIIiiVQkcYJ5wo4z7nJ4HPFc/RRXX/D3x5qHgbxDDdRTStpsjqt7aj5lkjzyQpIG8DlTkc8E4JB+y7W6hvbSG7tpBJBPGskbjoysMg/kalooooooooooooooooooorzH4mfEXxJ4IuomsvDIudNfA+3SvuUsBuYbUOVGO7YyQ3GBmur8D+Lbfxr4Xt9YgjELSErLDuLeW4PK5IGfritTWdZsfD+k3OqalN5VpbpvkYKWIGQOg5PJH515hc/tEeFI4bh4LHU5ijBYx5SqJOOuS3A/X2rzqy+NfxH13UXtNKgt5rmcfu4Laz3mMDqVGSfqWyOKl8ceP8AxenghfDPifS76y1OSQMb4v5YuE5ZgQoAIw6jA4GOeeKtfC74beGfGXgXULx2nm1tXMYXz/KEDqSy7SAeGBUElTjBxWlZaN4o8R2N94C8coGv47P7bpVy8gdkkGVClkyG4Bznnr61Q+G3w98NeMfB+p2M8E9j4q0+4ZGuvNfdC2flOzhcZUgjk9eRkYqrYa3FJ4mu9PudQi8YeHJCLi8iG1L+Asw3mPaSWwMg9CvJJrofAfiD4t+NdAuL2x1bS1jhmCJPe26gykDLKNinGMr1XnIwetPn0K10u2ubrxhpWnalpms3LjUL+3stt7pF3KRlC3JMStja3fcOCCobyH4ieFbfwZ40vNFtbmW4t4gjxvKAG2soYA44JGcZwM+grlaKKK+y/hJezah8K/D807bnW3MIOAPljdkUcf7Kiu0ooorL1/xFpHhfS21LWr6OztAwTe4JLMegVQCWPU4APAJ6A1yOj/GzwNq7pGdUexmd9ipewtGO3JcZQDnuw6V38UsdxCk0MiSRSKHR0YFWU8ggjqKfRRRRRRRRRRRRVe+srfUtPuLG6jElvcRtFIjdGVhgj8q+aPBumazYeKvEHw8sNYvNIujO0kF0g2lwnQvg5AZCCMdyKd4Ink8MfEm/0Lx4HuINRja0ee/Z2jk2vlWBYfMpZcZ6flXoXwr8AW+mW3iiw1jTYLm3OpmKI3EBxKiDghW42/NjI68g9BXnV/a3XwQ+KsV1EJJdFuuUdlUtLCcb19ipOO2eDjmvTfiGnh74i/Cq+1mwlSY2UL3NvP5ZDoU+8vOCAdpB7cd8V4Z8MPFPijw9rklv4YsUvpr3Aktnj3B9obHORjG4nqOle5TfE3xTPpl/DB8PNdt9UQvHAwi86AMBgEthdwznpkYxgnNch4a8H/Eqw+IEHjKfSbZTdOGvLaCZI90bABhsLAbsc4J+8Mmtz4iaR4v034n2Pinwpos11AttGLwQuALlwzgq6ggt8hUAkHt6VxGkfESf4dfEG9h/s7UbbQb6UTXGmXsRSW3LclkyTnHr0YdgcEe0arB4T1XR9R1C8u7FNE8RWqRz3rtGg3qCI23Mv3sHjccK0a4GWOfOPEXgzUPGWjDwtLHHF4q8NjZbz3LRxDUrLkJIgUFscIMH5VZiCxbOOl8Zad4I0LwZY33inwra3x/dwXdxpCqCs6rtI8wukrDcrDkk/L83NYnw+8UfD/xwX0fWvDek2+ruxiheWziDXceDtO9UAWUKACBtBPK4ztXn/t/wabxZLpF74QurbdcpAt0NQJhVmbDM5WfaiKT1UtxngYxVvxP8M/h38PLNJ/EN7rt613MwtYrZVDBFxkE4C5G4ZJIz2HBqXQPGut/DjxhZeGNVtfsvhOWbZam5hCvbxSZZS0mQu4GRDJktjBxX0HRUN5dwWFlPeXUqxW9vG0ssjdERRkk/QA14prP7SOmQO8ei6Hc3XykCW6lEIDc87RuJHQ9QfpU9p4a0j4jaBZeNPHeo6tZJGwZra6mS1slViuPLDDIjcFBu3bm9c4q14ft/hxqOp2Vn4R8PeGtUt7klbh724xPCE6lYZkZ34J5GASOSOtUPHul+KvBeoQ3Hw90G7tbN52klOnTvcxSs68hrMgrHjafmUYxjkHAGx4B+Mn9v3trpPibTf7I1G6BFrPhlgumDlSq7uVbI2gZILKRkHCn1eiiiiqWr6vY6FpU+p6lOsFpAAZJG7ZIAH1JIH4186eLvjX4yfWJ7K1tf7EtJMxxLcW5WZVPG5iTwwznjp716NefGfwh4a062sItQuNbvYoljJtcyeY4GCTIxAOTznJNU/iL428XrdaP4Z8O6WbfVdWtPOmIJd7cM20AMMBdpzuYjAyK9N0C31C10Cwg1a5FzqCQqLiYDG58c1o0UV4X8b9Oh8P8AiHSfG9nqEUOqRvGi2hCq0qoSWcZzuI3IOnArZm8WeEfin4KFhdX9hYa3dQkQRyyYe2m3LtCuQDy4TgY3UvwC8Sapr3ha/i1O7kums7gJHJKdzbWXPJPJ5zXQePvhhpvxAubKe9vbi1e1G0GBEyynJIJIz1xjkgc8c1e8LfDjw34Qsry10+0eVL1BHcm6fzfOUZ4IPy4+Y8Ac5rpbWytbGEQ2ltDbxD+CGMIPyFT0UVUvtL0/U4/L1CxtbuPptuIVkH5EGsTWfh/4Z1vw+mhz6ZFDYxuZIktQIvKYnJK46ZJ5HSqejeFdX8G2MlvousT6tZIB5Wn6tJlkwu0JHOo/dr93gow+XA25JrzfxRZ3nwx8cyeLbX7RNoGtSg6vpkkRkJ80uzg8eUdvJHz5yxH3SSea8Y/DeTR9Xs/GXgya2uPDsk0VxFIl2kQtX8xVA3uw+UuRhv4eQwG3JtpqPg/4p/F25/tm2uLGBrcwW7i8AEzxs2HYkYXcmBtBIyOpzmtr4ta/4j8FeLNEY3CXvhwPFPbW1zbxTMkkOAwEjhpC+CG3k5+fqea77x9o+nfED4Yyzx3MUcfkC/tbp921Nq7snHOCu4dO+cHFYHwa+Jlv4g0i18P6tftJr0JkRGkJLXMS4IbdgAsASMZJIQsetet1xvxYtbi8+FniCK1GZFtvNPIHyIwd/wDx1Wr59+Hfw2t/EGpWlzqXiXSLJA0U0VqlxBczzZYfIYyxCnoMOrcsAVPIrsfixpnjTxj40l8MaBZtNpGmW0Ti3t5kSIFgDmTJAD9lQnIUbgMEkti8H2XwR8Nf8JTrlrb63r0lwkFlHHkQ2z4c7txwT8q5ztyCABjJavPL34vePL69gun8Q3ETW7l444ESNOccMqjDjgYD7v1NesfDf4p658RfE76BrWh6Tcac1s8s3lRkbApXDMJHYMNxAwBnLA9AayLzVvipoHxC1u20KO91ixNwRCJUkuLdI+Sih2xhgPkY55ZSCSamt/2g9c03UzpviLw3aQXKSCOY+bJAIvUsu2RsDOeATjpmtPXv2jdKtJZYdF0qW+2OAs0r+XG47kDG4e2R+VWdA/aI8P3ls39uWdxp1wvQRAzI3PYjn8wK6rX/AIkxWHw7m8V6bpt1MheNbVLiJlE29gN2VztXBPJxkgDqRnyHSPE3xF+J3iN0tYLd7K2nE72tyrpaRsuNiybeWwyhgpzkjnjirGifDu+8efEzXYvFGtvqFvpbBbia2mODK3PlJuztVTuBGONuOKn+IPhjw98OfGngzUrPS3h0mGcPcursxLq4YMSckkDnHcDHFeseDbOTUtV1Hxld20cTaoqJYqQfMS0XOzdnoX4fA9QD0rsqKKKwdd8FeG/E15Bd6zpFveXEClI5JAQQpOcHBGRnoDnGTjqa5LxT8EvDHiOSyNsg0hLcFXSxhRRID68dfc5rtPDHhyx8J+H7XRdOMrW1vu2tKQXYsxYkkAZ5PpWvRRRRRRRRRWS3hbw88DwNoOlmFzlozZx7WPuMc1Vm8CeEriFYpfDWksqLtU/ZEBUegOMio/EfgPw54rtbK31mwa4jslK2+J5EKAgA8qwz91euelSeGfBuk+Erae20v7SLebG6Ge4aVBgY4DHjjis/Tvhb4O0rW11iy0gQ36ymVJEnkARvZQ20D2xjHFdhUN1awXtnPaXMYkgnjaORD0ZWGCPxBr48+IXw51XwRrNwDazy6O0h+y3uNylD91XYAAPjgg4zgkcVydhqN9pV0t1p17c2dwoIE1vK0bgHqNykGtC/8X+I9W0ttN1LW769tGlWYx3UzS/OoIBBbJAwx4BwePQVe8FeItD8OXk1zq/hSDX5Tt+zrPcFEi4YNlCrK+dw+8OCuRzX0fc6rq+q/DTULbw34T1rw9dLbBbeMQwwFGLLvWJdwYcMx3bV7kENiuNHxYPw80K28PQeEdUgitbPy7e41GNoS8+CSWj5+UvlvlfoeKrfDLwzp/xEvr/xZ4vuodQnkLKLN2wI/wDa4bhcZwMcdfrJ8Udb8N6tb2HgbwfY6VNdXU4PnW4iSKA7mBUEdGJyT06991Z/xU8BaZ4N+GWjwW8XmXkdyfNuioDMWHIJC8j0BPHvW/f641x4Q0/xZqlobDQtKhQ6Tp0gZWuL1QDFKwQj5AQcDPTJrU8Jz3Hw9+Emo+Ldbg3axqEj6hcJKAjO8jYjUlQcZyGxgYLkYGK5/wCGnxG0bRfD8cX76/1/V9Smur+PeFMKknMhkcBcBVBwW6sema3vGek6R8VPHeg6XZ3q3NnpKTzao8GcIr+X5aB+mWKnoeACe1euRosUaxrwqgKOewp1FFFFFFFFFFFFFFFFFFFFFFFFcB4h+DPgrxCWkOmnTrhiCZtPYRHjtswU57nbn3ryTW/2c/Edo8r6RqNjqEK42JITDK3Tscrxz/EOn4V3fwz+CcfhPUf7Y8QTW19qMTf6LHDlooT/AH8sAWf04wOvJwR6/TXRJUZJEV0YYKsMgiuf1fwH4W120itb/RLV4YWZo1iUw7CTkkFCCMnmvH/HPwzuPBd7aax4E0O7nmVwVeKaSZ7Zgc5EYGWyBtySwwWBXJBHa6P4e8R+N7fT5viBY21vDYNuWzQKWuJB/G5GQq/7Knnv6VneOPhf4r8b63i58QWdvoMUoNvZxo2Y0GBnGMFse+K9Cj8LWMvhaLQNVaTVbZVAke8Yu0pBzk/j0HQYArg/FHwR0e90q2sfDUUOknzFF1Nvkd5Ytykqct82MbsHjKjp1Ha+C/Bel+B9EGnaarMzHdPcP9+ZvU/ywK6Oiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiv//Z

7make · 06.02.2016

data:image/jpeg;

так шли файл, без кодирования.

Terikon · 06.02.2016

Прошу извинения) не тот код прицепил вот этот! я же аудиорекапчу распознать хочу

Код:

data:audio/mpeg;base64,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

Сегодня купил капмонстр уже несколько часов бьюсь с аудиорекапчей, картинки распознают нормально, скажите что не так делаю ?
шлю без этой части data:audio/mpeg;base64,

Terikon · 06.02.2016

Вот логи, кто разбирается посмотрите.

mmmaks2004 · 06.02.2016

Terikon
а попробуй моим скриптом выше

Terikon · 06.02.2016

mmmaks2004 сказал(а):
Terikon
а попробуй моим скриптом выше

Изначально им пробовал, не вышло! тебе как удалось такую же проблему решить? есть ли файл который у тебя распознало?

mmmaks2004 · 06.02.2016

Чем декодишь файл? Я base64.exe

Terikon · 06.02.2016

mmmaks2004 сказал(а):
Чем декодишь файл? Я base64.exe

Я и в шарпе пробовал и в делфи, файл выше я прикрепил, и его код в base64, если не трудно можешь с конвертировать у себя, я думаю у тебя тоже что и у меня получится.

mmmaks2004 · 06.02.2016

К сожалению, проверить не могу. У меня демка была, счас уже не запускается.
Код получается вроде одинаковый. Но все равно попробуй мой.

Код:
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Terikon · 06.02.2016

mmmaks2004 Дружище Спасибо большое!! выручил, с твоим кодом заработало, щас буду выявлять причину почему у меня в двух средах не правильно кодирует.

Terikon · 06.02.2016

Ещё одна проблема выплыла, id капчи получаю, но при дальнейшем запросе по этому id выдаёт следующее

Ссылка_на_объект_не_указывает_на_экземпляр_объекта.

в CapMonster2.Controls.MonitorControl.wcOQT4VWIF(Object , PaintEventArgs )|
2016-02-06 22:57:44.9845|ERROR|Ошибка в MonitorControl.pictureBox1_Paint. Сообщение: Ошибка переполнения.. StackTrace: в System.Drawing.Graphics.CheckErrorStatus(Int32 status)
в System.Drawing.Graphics.DrawLine(Pen pen, Single x1, Single y1, Single x2, Single y2)
в CapMonster2.Controls.MonitorControl.NeAUCHUYybCbOf9nUvH(Object , Object , Single , Single , Single , Single )
в CapMonster2.Controls.MonitorControl.wcOQT4VWIF(Object , PaintEventArgs )|
2016-02-06 22:57:45.2996|ERROR|Ошибка в MonitorControl.pictureBox1_Paint. Сообщение: Ошибка переполнения.. StackTrace: в System.Drawing.Graphics.CheckErrorStatus(Int32 status)
в System.Drawing.Graphics.DrawLine(Pen pen, Single x1, Single y1, Single x2, Single y2)
в CapMonster2.Controls.MonitorControl.NeAUCHUYybCbOf9nUvH(Object , Object , Single , Single , Single , Single )
в CapMonster2.Controls.MonitorControl.wcOQT4VWIF(Object , PaintEventArgs )|

mmmaks2004 · 06.02.2016

Id правильно вытягиваешь, без ОК| ?

Terikon · 06.02.2016

Даже тип не определяет, ставил в опциях что бы все капчи шли через модуль аудиорекапчи

mmmaks2004 · 06.02.2016

Ты точно шлешь через форму, что тут выставил?
Логи покажи.

Terikon · 06.02.2016

Шлю вот так, в ответ приходит ид

HTML:

<form method="post" action="http://antigate.com/in.php" enctype="multipart/form-data">
<input type="hidden" name="method" value="base64">
<input type="hidden" name="CapMonsterModule" value="ZennoLab.AudioReCaptcha">
<input type="hidden" name="ParallelMode" value="true">
   Ключ вашего аккаунта:
      <input type="text" name="key" size="32">
   Тело файла закодированное в base64:
      <textarea name="body"></textarea>
   <input type="submit" value="загрузить и получить ID">
</form>

вот лог

|
2016-02-07 00:02:55.0477|Parsed audio bytes|
2016-02-07 00:02:55.0477|CaptchaWebService: ToInterceptionQueue put it to the interception queue. ID = 11|
2016-02-07 00:02:55.0637|CaptchaWebService: MainAnalysis get the descriptor from the interception queue. ID = 11|
2016-02-07 00:02:55.0787|CaptchaWebService: TypeDetector get the descriptor with deteted type module and put it to the recognize queue. ID = 11|
2016-02-07 00:02:55.0637|CaptchaWebService: Antigate API request was parsed and was sent to the interception queue|
2016-02-07 00:02:55.0787|CaptchaWebService: MainRecognize get the descriptor and recognize via "ZennoLab.AudioReCaptcha" module. ID = 11|
2016-02-07 00:02:55.1327|CaptchaWebService: Recognize recognize via "ZennoLab.AudioReCaptcha" capmonster module. ID = 11|
2016-02-07 00:02:55.1597|CaptchaWebService: Recognize recognition error so put it to the results queue|

2016-02-07 00:02:55.1477|ERROR|Audio GetImageByAudioFile|System.IO.InvalidDataException: Invalid MP3 file - no MP3 Frames Detected
в NAudio.Wave.Mp3FileReader..ctor(Stream inputStream, FrameDecompressorBuilder frameDecompressorBuilder)
в NAudio.Wave.Mp3FileReader..ctor(Stream inputStream)
в ZennoLab.CNN.Audio.AudioToImage.GetImageByAudioFile(Stream stream, AudioToImageConvertingParameters audioParametrs)

mmmaks2004 · 06.02.2016

Убери из формы enctype="multipart/form-data"
Включи полный лог и покажи interceptor.log

как послать аудио в км-2?

Client

Известная личность

Client

Известная личность

Client

Известная личность

Новичок

Новичок

Новичок

Новичок

Известная личность

Новичок

Известная личность

Client

Client

Вложения

Client

Client

Client

Вложения

Новичок

Client

Новичок

Client

Новичок

Client

Client

Новичок

Client

Новичок

Client

Новичок

Кто просматривает тему: (Всего: 8, Пользователи: 0, Гости: 8)