TikTok Slide CAPTCHA Solver 🧩

Overview

This project is an advanced TikTok slide CAPTCHA solver implemented in Python. It can automatically:

• Retrieve CAPTCHA challenges from TikTok verification servers.
• Decrypt and parse CAPTCHA images.
• Solve the slider puzzle using image processing (OpenCV) and Sobel edge detection.
• Simulate realistic human-like slider movements.
• Verify the CAPTCHA automatically.

Note: This project is for educational purposes only. Do not use it for unauthorized or illegal activities.

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Features

• ✅ Fetch CAPTCHA challenges from TikTok
• ✅ Solve slider puzzles with high accuracy
• ✅ Encrypt/decrypt payloads (edata)
• ✅ Generate human-like slider movement data
• ✅ Optional support for proxies
• ✅ Fully modular and reusable classes

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Installation

Make sure you have Python 3.10+ installed.

git clone https://github.com/Gisnsl/tiktok-captcha-solver.git
cd tiktok-captcha-solver

Required Libraries:

• requests
• opencv-python
• numpy
• TikSign

You may install dependencies via:

pip install requests opencv-python numpy TikSign

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Usage

python solver.py

Classes Explained:

• CaptchaSolver: Main class to fetch and solve CAPTCHAs.
• PuzzleSolver: Handles slider image processing and template matching.
• edata: Handles encryption/decryption of CAPTCHA payloads.
• Cha: Internal class implementing ChaCha-like encryption for edata.
• sign(): Generates necessary TikTok request signatures (x-argus, x-ladon, etc.).

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Contributing

Feel free to submit issues, pull requests, or improve the solver.
Make sure you follow the Python best practices and document your code.

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Contact

For questions, suggestions, or help, contact me on Telegram: @maho_s9

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License

This project is licensed under the MIT License.