├── .env.example ├── browser_use ├── agent_history.gif └── text.py ├── successful_solves ├── puzzle_gemini │ └── success_20250906_165149.gif ├── puzzle_openai │ └── success_20250727_173631.gif ├── recaptcha_v2_gemini │ └── success_20250906_170027.gif ├── recaptcha_v2_openai │ └── success_20250906_164422.gif ├── complicated_text_gemini │ └── success_20250906_165818.gif └── complicated_text_openai │ └── success_20250906_165751.gif ├── requirements.txt ├── LICENSE ├── .gitignore ├── README.md ├── puzzle_solver.py ├── ai_utils.py └── main.py /.env.example: -------------------------------------------------------------------------------- 1 | OPENAI_API_KEY=sk- 2 | XAI_API_KEY=xai- 3 | GOOGLE_API_KEY=AIza -------------------------------------------------------------------------------- /browser_use/agent_history.gif: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /successful_solves/complicated_text_openai/success_20250906_165751.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aydinnyunus/gpt4-captcha-bypass/HEAD/successful_solves/complicated_text_openai/success_20250906_165751.gif -------------------------------------------------------------------------------- /browser_use/text.py: -------------------------------------------------------------------------------- 1 | import asyncio 2 | from dotenv import load_dotenv 3 | from browser_use import Agent 4 | from browser_use.llm import ChatOpenAI 5 | 6 | load_dotenv("../.env") 7 | 8 | prompt = """ 9 | Go to https://2captcha.com/demo/normal. solve the text based captcha and submit 10 | """ 11 | 12 | async def main(): 13 | agent = Agent( 14 | task=prompt, 15 | llm=ChatOpenAI(model="gpt-4o"), 16 | generate_gif=True 17 | ) 18 | 19 | await agent.run() 20 | 21 | if __name__ == "__main__": 22 | asyncio.run(main()) -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | annotated-types==0.7.0 2 | anyio==4.9.0 3 | attrs==25.3.0 4 | certifi==2025.7.14 5 | charset-normalizer==3.4.2 6 | distro==1.9.0 7 | docopt==0.6.2 8 | h11==0.16.0 9 | httpcore==1.0.9 10 | httpx==0.28.1 11 | idna==3.10 12 | jiter==0.10.0 13 | openai==1.95.1 14 | outcome==1.3.0.post0 15 | packaging==25.0 16 | pipreqs==0.4.13 17 | pydantic==2.11.7 18 | pydantic_core==2.33.2 19 | PySocks==1.7.1 20 | python-dotenv==1.1.1 21 | requests==2.32.3 22 | selenium==4.21.0 23 | sniffio==1.3.1 24 | sortedcontainers==2.4.0 25 | tqdm==4.67.1 26 | trio==0.30.0 27 | trio-websocket==0.12.2 28 | typing-inspection==0.4.1 29 | typing_extensions==4.14.1 30 | urllib3==2.5.0 31 | webdriver-manager==4.0.2 32 | websocket-client==1.8.0 33 | wsproto==1.2.0 34 | yarg==0.1.10 35 | openai 36 | python-dotenv 37 | selenium 38 | webdriver-manager 39 | requests 40 | google-genai 41 | Pillow==10.4.0 42 | pynput 43 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Copyright (c) 2025 Yunus AYDIN 2 | 3 | Permission is hereby granted to any individual or organization to use, copy, 4 | modify, and distribute this software and its documentation, provided that: 5 | 6 | 1. The software is used solely for academic research, educational purposes, 7 | or lawful security testing with explicit authorization from the system owner. 8 | 9 | 2. Any use for commercial purposes, malicious activity, or actions in violation 10 | of applicable laws and regulations is strictly prohibited. 11 | 12 | 3. The authors and contributors shall not be held liable for any misuse, 13 | damage, or legal consequences arising from the use of this software. 14 | 15 | By using this software, you agree to comply with this license. 16 | If you do not agree, you are not permitted to use the software. 17 | 18 | This license does not grant any trademark rights, and it does not constitute 19 | an Open Source license as defined by the Open Source Initiative (OSI). 20 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # pdm 105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 106 | #pdm.lock 107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 108 | # in version control. 109 | # https://pdm.fming.dev/latest/usage/project/#working-with-version-control 110 | .pdm.toml 111 | .pdm-python 112 | .pdm-build/ 113 | 114 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 115 | __pypackages__/ 116 | 117 | # Celery stuff 118 | celerybeat-schedule 119 | celerybeat.pid 120 | 121 | # SageMath parsed files 122 | *.sage.py 123 | 124 | # Environments 125 | .env 126 | .venv 127 | env/ 128 | venv/ 129 | ENV/ 130 | env.bak/ 131 | venv.bak/ 132 | 133 | # Spyder project settings 134 | .spyderproject 135 | .spyproject 136 | 137 | # Rope project settings 138 | .ropeproject 139 | 140 | # mkdocs documentation 141 | /site 142 | 143 | # mypy 144 | .mypy_cache/ 145 | .dmypy.json 146 | dmypy.json 147 | 148 | # Pyre type checker 149 | .pyre/ 150 | 151 | # pytype static type analyzer 152 | .pytype/ 153 | 154 | # Cython debug symbols 155 | cython_debug/ 156 | 157 | # PyCharm 158 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 159 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 160 | # and can be added to the global gitignore or merged into this file. For a more nuclear 161 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 162 | #.idea/ 163 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # AI-Powered CAPTCHA Solver 2 | 3 | This project is a Python-based command-line tool that uses large multimodal models (LMMs) like OpenAI's GPT-4o and Google's Gemini to automatically solve various types of CAPTCHAs. It leverages Selenium for web browser automation to interact with web pages and solve CAPTCHAs in real-time. 4 | 5 | A successful solve is recorded as a GIF in the `successful_solves` directory. 6 | 7 | ## Key Features 8 | 9 | - **Multiple AI Providers**: Supports both OpenAI (e.g., GPT-4o) and Google Gemini (e.g., Gemini 2.5 Pro) models. 10 | - **Multiple CAPTCHA Types**: Capable of solving a variety of CAPTCHA challenges. 11 | - **Browser Automation**: Uses Selenium to simulate human interaction with web pages. 12 | - **Extensible**: The modular design makes it easy to add support for new CAPTCHA types or AI models. 13 | - **Benchmarking**: Includes a script to test the performance and success rate of the solvers. 14 | 15 | ## Supported CAPTCHA Types 16 | 17 | The tool can solve the following CAPTCHA types found on the `2captcha.com/demo/` pages: 18 | 19 | 1. **Text Captcha**: Simple text recognition. 20 | 2. **Complicated Text Captcha**: Text with more distortion and noise. 21 | 3. **reCAPTCHA v2**: Google's "I'm not a robot" checkbox with image selection challenges. 22 | 4. **Puzzle Captcha**: Slider puzzles where a piece must be moved to the correct location. 23 | 5. **Audio Captcha**: Transcribing spoken letters or numbers from an audio file. 24 | 25 | ## Prerequisites 26 | 27 | - Python 3.7+ 28 | - Mozilla Firefox 29 | 30 | ## Installation & Configuration 31 | 32 | 1. **Clone the repository:** 33 | ```bash 34 | git clone https://github.com/aydinnyunus/ai-captcha-bypass 35 | cd ai-captcha-bypass 36 | ``` 37 | 38 | 2. **Install dependencies:** 39 | ```bash 40 | pip install -r requirements.txt 41 | ``` 42 | 43 | 3. **Set up your API keys:** 44 | Create a `.env` file in the root directory by copying the example file: 45 | ```bash 46 | cp .env.example .env 47 | ``` 48 | Open the `.env` file and add your API keys for OpenAI and/or Google Gemini: 49 | ``` 50 | OPENAI_API_KEY="sk-..." 51 | GOOGLE_API_KEY="..." 52 | ``` 53 | 54 | ## Usage 55 | 56 | The primary script for running the solver is `main.py`. You need to specify the CAPTCHA type to test. You can also specify the AI provider and model. 57 | 58 | ### Command-Line Arguments 59 | 60 | - `captcha_type`: (Required) The type of CAPTCHA to solve. 61 | - Choices: `puzzle`, `text`, `complicated_text`, `recaptcha_v2`, `audio` 62 | - `--provider`: The AI provider to use. 63 | - Choices: `openai`, `gemini` (Default: `openai`) 64 | - `--model`: The specific model to use (e.g., `gpt-4o`, `gemini-2.5-flash`). 65 | - `--file`: Path to an audio file for the `audio` test. (Default: `files/audio.mp3`) 66 | 67 | ### Examples 68 | 69 | **Solve a simple text CAPTCHA using OpenAI (default):** 70 | ```bash 71 | python main.py text 72 | ``` 73 | 74 | **Solve a complicated text CAPTCHA using Gemini:** 75 | ```bash 76 | python main.py complicated_text --provider gemini 77 | ``` 78 | 79 | **Solve a reCAPTCHA v2 challenge using Gemini:** 80 | ```bash 81 | python main.py recaptcha_v2 --provider gemini 82 | ``` 83 | 84 | **Transcribe an audio CAPTCHA:** 85 | ```bash 86 | python main.py audio --file files/radio.wav --provider openai 87 | ``` 88 | 89 | **Solve a puzzle CAPTCHA using a specific OpenAI model:** 90 | ```bash 91 | python main.py puzzle --provider openai --model gpt-4o 92 | ``` 93 | 94 | 95 | 96 | ## How It Works 97 | 98 | 1. **Launch Browser**: The script starts a Firefox browser instance using Selenium. 99 | 2. **Navigate**: It goes to the demo page for the specified CAPTCHA type. 100 | 3. **Capture**: It takes screenshots of the CAPTCHA challenge (image, instructions, or puzzle). 101 | 4. **AI Analysis**: The captured images or audio files are sent to the selected AI provider (OpenAI or Gemini) with a specific prompt tailored to the CAPTCHA type. 102 | 5. **Get Action**: The AI returns the solution (text, coordinates, or image selections). 103 | 6. **Perform Action**: The script uses Selenium to enter the text, move the slider, or click the correct images. 104 | 7. **Verify**: The script checks for a success message to confirm the CAPTCHA was solved. 105 | 106 | ## Success Examples 107 | 108 | Here are some examples of the solver successfully bypassing different CAPTCHA types. 109 | 110 | | CAPTCHA Type | OpenAI (GPT-4o) | Gemini (2.5 Pro) | 111 | | -------------------- | ------------------------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------ | 112 | | **reCAPTCHA v2** | | | 113 | | **Puzzle** | | | 114 | | **Complicated Text** | | | 115 | 116 | ## Project Structure 117 | 118 | - `main.py`: The main entry point to run the CAPTCHA solver tests. Handles command-line arguments and calls the appropriate test functions. 119 | - `ai_utils.py`: Contains all the functions for interacting with the OpenAI and Gemini APIs. This is where prompts are defined and API calls are made. 120 | - `puzzle_solver.py`: Implements the logic specifically for solving the multi-step slider puzzle CAPTCHA. 121 | - `benchmark.py`: A script for running multiple tests to evaluate the performance and success rate of the different solvers. 122 | - `requirements.txt`: A list of all the Python packages required for the project. 123 | - `screenshots/`: Directory where screenshots of CAPTCHAs are temporarily saved. 124 | - `successful_solves/`: Directory where GIFs of successful solutions are saved. 125 | 126 | ## Contact 127 | 128 | [](https://linkedin.com/in/yunus-ayd%C4%B1n-b9b01a18a/) [](https://github.com/aydinnyunus/ai-captcha-bypass) [](https://instagram.com/aydinyunus_/) [](https://twitter.com/aydinnyunuss) 129 | -------------------------------------------------------------------------------- /puzzle_solver.py: -------------------------------------------------------------------------------- 1 | import os 2 | import time 3 | import random 4 | import math 5 | from datetime import datetime 6 | from selenium import webdriver 7 | from selenium.webdriver.common.by import By 8 | from selenium.webdriver.support.ui import WebDriverWait 9 | from selenium.webdriver.support import expected_conditions as EC 10 | from PIL import Image, ImageDraw, ImageFont 11 | from selenium.webdriver.common.action_chains import ActionChains 12 | from ai_utils import ( 13 | ask_puzzle_distance_to_gemini, 14 | ask_puzzle_correction_direction_to_gemini, 15 | ask_best_fit_to_gemini, 16 | ask_puzzle_distance_to_chatgpt, 17 | ask_puzzle_correction_direction_to_openai, 18 | ask_best_fit_to_openai 19 | ) 20 | import traceback 21 | 22 | def geometric_progression_steps(initial_value, threshold=0.5): 23 | """Calculates a series of steps that decrease geometrically.""" 24 | if initial_value <= 0: return [] 25 | steps = [] 26 | current_value = initial_value 27 | while current_value > threshold: 28 | step = current_value * 0.5 29 | steps.append(step) 30 | current_value -= step 31 | if current_value > 0: 32 | steps.append(current_value) 33 | return steps 34 | 35 | def perform_final_drag(driver, offset): 36 | """Performs a multi-stage human-like drag to avoid bot detection.""" 37 | slider = WebDriverWait(driver, 10).until( 38 | EC.element_to_be_clickable((By.CLASS_NAME, "geetest_slider_button")) 39 | ) 40 | 41 | sleep_time = random.uniform(0.3, 0.4) 42 | 43 | # Break the move into three distinct parts 44 | part1 = offset * random.uniform(0.70, 0.80) 45 | part2 = offset * random.uniform(0.15, 0.25) 46 | part3 = offset - part1 - part2 47 | 48 | actions = ActionChains(driver) 49 | 50 | # Perform the sequence with pauses between stages 51 | actions.click_and_hold(slider).perform() 52 | time.sleep(sleep_time) # 1. Pause after grab 53 | 54 | # 2. Part 1: Fast initial slide 55 | actions.move_by_offset(part1, 0).perform() 56 | time.sleep(sleep_time) # Short pause after first movement 57 | 58 | # 3. Part 2: Slower aiming slide 59 | actions.move_by_offset(part2, 0).perform() 60 | time.sleep(sleep_time) # Longer pause for final aim 61 | 62 | # 4. Part 3: Final placement 63 | actions.move_by_offset(part3, 0).perform() 64 | time.sleep(sleep_time) # Pause before release 65 | 66 | actions.release().perform() 67 | 68 | def create_success_gif(image_paths, output_folder="successful_solves"): 69 | """Creates a GIF from a list of images and saves it.""" 70 | if not image_paths: 71 | print("No images provided for GIF creation.") 72 | return 73 | 74 | os.makedirs(output_folder, exist_ok=True) 75 | 76 | valid_images = [] 77 | for path in image_paths: 78 | if os.path.exists(path): 79 | try: 80 | # Convert to RGB to prevent mode issues (e.g., RGBA vs RGB) and open 81 | valid_images.append(Image.open(path).convert("RGB")) 82 | except Exception as e: 83 | print(f"Warning: Could not open or convert image {path}. Skipping. Error: {e}") 84 | else: 85 | print(f"Warning: Image path for GIF not found: {path}. Skipping.") 86 | 87 | if not valid_images: 88 | print("\nCould not create success GIF because no valid source images were found.") 89 | return 90 | 91 | try: 92 | # Resize all images to match the first one for consistency 93 | base_size = valid_images[0].size 94 | resized_images = [img.resize(base_size) for img in valid_images] 95 | 96 | timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") 97 | output_path = os.path.join(output_folder, f"success_{timestamp}.gif") 98 | 99 | resized_images[0].save( 100 | output_path, 101 | save_all=True, 102 | append_images=resized_images[1:], 103 | duration=800, # Milliseconds per frame 104 | loop=0 # Loop forever 105 | ) 106 | print(f"\n✨ Successfully saved solution GIF to {output_path}") 107 | except Exception as e: 108 | print(f"\nCould not create success GIF. Error: {e}") 109 | 110 | def set_slider_position_for_screenshot(driver, offset): 111 | """Uses JavaScript to instantly set the slider's visual position for an accurate screenshot.""" 112 | slider_knob = driver.find_element(By.CLASS_NAME, "geetest_slider_button") 113 | puzzle_piece = driver.find_element(By.CLASS_NAME, "geetest_canvas_slice") 114 | 115 | # Use JavaScript to directly set the CSS transform property 116 | driver.execute_script( 117 | f"arguments[0].style.transform = 'translateX({offset}px)'; arguments[1].style.transform = 'translateX({offset}px)';", 118 | slider_knob, 119 | puzzle_piece 120 | ) 121 | 122 | def solve_geetest_puzzle(driver, provider='gemini'): 123 | """ 124 | Solves a single Geetest puzzle instance using the specified AI provider, 125 | with up to 3 attempts on new puzzles if it fails. 126 | Returns 1 for success, 0 for failure. 127 | """ 128 | if not os.path.exists('screenshots'): 129 | os.makedirs('screenshots') 130 | 131 | generated_files = [] 132 | try: 133 | driver.get("https://2captcha.com/demo/geetest") 134 | 135 | print("Automatically clicking button to start puzzle challenge...") 136 | try: 137 | start_button = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CLASS_NAME, "geetest_radar_tip"))) 138 | start_button.click() 139 | except Exception as e: 140 | print(f"Could not start puzzle. Maybe it's already active? Error: {e}") 141 | 142 | 143 | for attempt in range(3): 144 | print(f"\n--- Puzzle Attempt {attempt + 1}/3 ---") 145 | try: 146 | # Per your request, waiting a fixed 3 seconds for the puzzle to fully render. 147 | print("Waiting 3 seconds for puzzle to render...") 148 | time.sleep(3) 149 | 150 | screenshot_element = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.CLASS_NAME, "geetest_window"))) 151 | 152 | initial_screenshot_path = f'screenshots/initial_puzzle_attempt_{attempt + 1}.png' 153 | screenshot_element.screenshot(initial_screenshot_path) 154 | generated_files.append(initial_screenshot_path) 155 | print(f"Saved initial puzzle state to {initial_screenshot_path}") 156 | 157 | # --- Step 1: Get initial pixel guess from AI --- 158 | print(f"\n--- Step 1: Asking {provider.upper()} for initial slide distance ---") 159 | initial_offset_str = "" 160 | if provider == 'openai': 161 | initial_offset_str = ask_puzzle_distance_to_chatgpt(initial_screenshot_path) 162 | else: # gemini 163 | initial_offset_str = ask_puzzle_distance_to_gemini(initial_screenshot_path) 164 | 165 | print(f"Raw AI response for initial distance: '{initial_offset_str}'") 166 | 167 | if initial_offset_str is None: 168 | print("AI failed to provide a valid initial distance. Refreshing puzzle...") 169 | if attempt < 2: 170 | refresh_button = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CLASS_NAME, "geetest_refresh_1"))) 171 | refresh_button.click() 172 | continue # Move to the next attempt 173 | 174 | try: 175 | initial_offset_raw = int(''.join(filter(str.isdigit, initial_offset_str))) 176 | print(f"AI suggests a raw offset of {initial_offset_raw}px.") 177 | 178 | scaling_factor = 1.0 # Default scaling 179 | if provider == 'gemini': 180 | scaling_factor = 0.791 181 | 182 | initial_offset = int(initial_offset_raw * scaling_factor) 183 | print(f"Applying scaling factor ({scaling_factor}). New offset is {initial_offset}px.") 184 | 185 | except (ValueError, TypeError): 186 | print(f"Could not parse a valid integer from AI response: '{initial_offset_str}'. Skipping attempt.") 187 | # Refresh for the next attempt 188 | if attempt < 2: 189 | refresh_button = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CLASS_NAME, "geetest_refresh_1"))) 190 | refresh_button.click() 191 | print("Refreshing puzzle for next attempt...") 192 | continue 193 | 194 | print(f"Performing initial human-like slide to {initial_offset}px...") 195 | perform_final_drag(driver, initial_offset) 196 | 197 | correction_screenshot_path = f'screenshots/correction_needed_attempt_{attempt + 1}.png' 198 | screenshot_element.screenshot(correction_screenshot_path) 199 | generated_files.append(correction_screenshot_path) 200 | print(f"Saved state for correction analysis to {correction_screenshot_path}") 201 | 202 | success = False 203 | for _ in range(6): 204 | try: 205 | success_element = driver.find_element(By.CLASS_NAME, "geetest_success_radar_tip_content") 206 | if "Verification Success" in success_element.text: 207 | success = True 208 | break 209 | except Exception: 210 | pass 211 | time.sleep(0.5) 212 | 213 | if success: 214 | print("\n✅ Puzzle solved successfully on the first slide!") 215 | final_success_path = f"screenshots/final_success_{datetime.now().strftime('%H%M%S')}.png" 216 | driver.save_screenshot(final_success_path) 217 | generated_files.append(final_success_path) 218 | create_success_gif([initial_screenshot_path, correction_screenshot_path, final_success_path]) 219 | return 1 220 | 221 | print("First slide failed. Proceeding to fine-grained scan...") 222 | 223 | # --- Step 2: Get correction direction and perform scan --- 224 | direction = 0 225 | if initial_offset < 50: 226 | direction = 1 227 | elif initial_offset > 250: 228 | direction = -1 229 | else: 230 | direction_str = "" 231 | if provider == 'openai': 232 | direction_str = ask_puzzle_correction_direction_to_openai(correction_screenshot_path) 233 | else: 234 | direction_str = ask_puzzle_correction_direction_to_gemini(correction_screenshot_path) 235 | direction = 1 if '+' in direction_str else -1 236 | 237 | scan_step = 5 238 | num_scans = 3 239 | scan_screenshots = [] 240 | 241 | slider = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CLASS_NAME, "geetest_slider_button"))) 242 | action = ActionChains(driver) 243 | action.click_and_hold(slider).perform() 244 | time.sleep(0.1) 245 | 246 | try: 247 | for i in range(num_scans): 248 | current_pos = initial_offset + (i * scan_step * direction) 249 | if current_pos < 0: continue 250 | set_slider_position_for_screenshot(driver, current_pos) 251 | time.sleep(0.05) 252 | screenshot_path = f'screenshots/scan_attempt_{attempt + 1}_{i}_{current_pos}px.png' 253 | screenshot_element.screenshot(screenshot_path) 254 | scan_screenshots.append(screenshot_path) 255 | generated_files.append(screenshot_path) 256 | finally: 257 | set_slider_position_for_screenshot(driver, 0) 258 | time.sleep(0.1) 259 | action.release().perform() 260 | time.sleep(1) 261 | 262 | if not scan_screenshots: 263 | print("No scan screenshots were taken. Refreshing for next attempt.") 264 | if attempt < 2: 265 | refresh_button = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CLASS_NAME, "geetest_refresh_1"))) 266 | refresh_button.click() 267 | continue 268 | 269 | # --- Step 3: Ask AI to pick the best fit and submit --- 270 | best_fit_index_str = "" 271 | if provider == 'openai': 272 | best_fit_index_str = ask_best_fit_to_openai(scan_screenshots) 273 | else: 274 | best_fit_index_str = ask_best_fit_to_gemini(scan_screenshots) 275 | 276 | print(f"Raw AI response for best fit: '{best_fit_index_str}'") 277 | 278 | if best_fit_index_str is None: 279 | print("AI failed to provide a valid best-fit index. Refreshing puzzle...") 280 | if attempt < 2: 281 | refresh_button = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CLASS_NAME, "geetest_refresh_1"))) 282 | refresh_button.click() 283 | continue # Move to the next attempt 284 | 285 | try: 286 | best_fit_index = int(best_fit_index_str) 287 | if not (0 <= best_fit_index < len(scan_screenshots)): 288 | raise ValueError("Index out of bounds.") 289 | except (ValueError, TypeError): 290 | print(f"Could not parse a valid index from AI response: '{best_fit_index_str}'. Refreshing.") 291 | if attempt < 2: 292 | refresh_button = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CLASS_NAME, "geetest_refresh_1"))) 293 | refresh_button.click() 294 | continue 295 | 296 | final_offset = initial_offset + (best_fit_index * scan_step * direction) 297 | print(f"AI chose image index {best_fit_index}. Calculated final offset: {final_offset}px. Submitting...") 298 | perform_final_drag(driver, final_offset) 299 | 300 | success_final = False 301 | for _ in range(6): 302 | try: 303 | success_element = driver.find_element(By.CLASS_NAME, "geetest_success_radar_tip_content") 304 | if "Verification Success" in success_element.text: 305 | success_final = True 306 | break 307 | except Exception: 308 | pass 309 | time.sleep(0.5) 310 | 311 | if success_final: 312 | print(f"\n✅ Puzzle solved successfully on Attempt #{attempt + 1}!") 313 | final_success_path = f"screenshots/final_success_{datetime.now().strftime('%H%M%S')}.png" 314 | driver.save_screenshot(final_success_path) 315 | generated_files.append(final_success_path) 316 | create_success_gif([initial_screenshot_path, correction_screenshot_path, scan_screenshots[best_fit_index], final_success_path], output_folder=f"successful_solves/puzzle_{provider}") 317 | return 1 318 | else: 319 | print(f"\n❌ Attempt {attempt + 1} failed.") 320 | if attempt < 2: 321 | refresh_button = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CLASS_NAME, "geetest_refresh_1"))) 322 | refresh_button.click() 323 | print("Refreshing puzzle for next attempt...") 324 | 325 | except Exception as e: 326 | print(f"An unexpected error occurred during attempt {attempt + 1}: {e}") 327 | traceback.print_exc() 328 | if attempt < 2: 329 | try: 330 | refresh_button = WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CLASS_NAME, "geetest_refresh_1"))) 331 | refresh_button.click() 332 | print("Refreshing puzzle due to error...") 333 | except Exception as refresh_e: 334 | print(f"Could not refresh puzzle after error: {refresh_e}") 335 | return 0 # Cannot recover, exit 336 | 337 | print("\nAll 3 puzzle attempts failed.") 338 | return 0 339 | finally: 340 | print("\nCleaning up generated puzzle files...") 341 | for f in generated_files: 342 | try: 343 | os.remove(f) 344 | print(f" Deleted {f}") 345 | except OSError as e: 346 | print(f" Error deleting file {f}: {e}") 347 | 348 | def main(): 349 | driver = webdriver.Firefox() 350 | try: 351 | # Example: run with solve_geetest_puzzle(driver, provider='openai') 352 | solve_geetest_puzzle(driver, provider='gemini') 353 | finally: 354 | print("Closing browser in 5 seconds...") 355 | time.sleep(5) 356 | driver.quit() 357 | 358 | if __name__ == "__main__": 359 | main() -------------------------------------------------------------------------------- /ai_utils.py: -------------------------------------------------------------------------------- 1 | import os 2 | import base64 3 | import re 4 | import time 5 | from dotenv import load_dotenv 6 | from openai import OpenAI, APIStatusError 7 | from google import genai 8 | from google.genai import types 9 | 10 | load_dotenv() 11 | 12 | # --- Client Initialization --- 13 | gemini_client = None 14 | if os.getenv("GOOGLE_API_KEY"): 15 | gemini_client = genai.Client() 16 | 17 | # --- Utility Functions --- 18 | def image_to_base64(image_path): 19 | with open(image_path, "rb") as image_file: 20 | return base64.b64encode(image_file.read()).decode('utf-8') 21 | 22 | # --- OpenAI Functions --- 23 | def ask_text_to_chatgpt(image_path, model=None): 24 | client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) 25 | base64_image = image_to_base64(image_path) 26 | short_prompt = ("Act as a blind person assistant. Read the text from the image and give me only the text answer.") 27 | model_to_use = model if model else "gpt-4o" 28 | response = client.chat.completions.create( 29 | model=model_to_use, 30 | messages=[ 31 | {"role": "system", "content": [{"type": "text", "text": short_prompt}]}, 32 | {"role": "user", "content": [ 33 | {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64_image}"}}, 34 | {"type": "text", "text": "Give the only text from the image. If there is no text, give me empty string."} 35 | ]}, 36 | ], 37 | temperature=1, max_tokens=256, top_p=1, frequency_penalty=0, presence_penalty=0 38 | ) 39 | return response.choices[0].message.content 40 | 41 | def ask_puzzle_distance_to_chatgpt(image_path, model=None): 42 | client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) 43 | base64_image = image_to_base64(image_path) 44 | prompt = """ 45 | As an assistant designed to help a visually impaired individual, I need your keen observation to navigate the visual world around me by describing the relative positions and characteristics of objects in an image. 46 | 47 | Specifically, I need your help with a CAPTCHA puzzle involving a slider. This is crucial for me to maintain my digital interactions and independence. Here's what I need you to do: 48 | 49 | Your Task: Carefully examine the provided image to identify the slider handle (the white circle with a vertical line in its center) and the target slot (the empty black rectangular area). 50 | 51 | My Goal: I need to drag the slider so that the middle vertical line of the slider handle aligns exactly with the horizontal center of the empty slot. 52 | 53 | The Information I Need: Please calculate the horizontal pixel distance from the current center of the slider handle to the center of the empty slot. 54 | 55 | Important Notes for Calculation: 56 | 57 | The movement should be horizontal only. 58 | 59 | If the handle is already perfectly aligned with the slot, please return 0. 60 | 61 | Do not return a negative number — you can assume the handle always starts to the left of the target. 62 | 63 | Please cap the value at 260 pixels; if the calculation exceeds this, still report 260. 64 | 65 | Return only the integer. No units, no explanation, no additional text. It's vital that I get this information quickly and precisely. 66 | 67 | Expected Output Example: 134 (a single integer only) 68 | 69 | """ 70 | model_to_use = model if model else "gpt-4o" 71 | 72 | response = client.chat.completions.create( 73 | model=model_to_use, 74 | messages=[ 75 | {"role": "system", "content": prompt}, 76 | {"role": "user", "content": [{"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64_image}"}}]} 77 | ], 78 | temperature=0, max_tokens=50 79 | ) 80 | content = response.choices[0].message.content.strip() 81 | match = re.search(r'-?\d+', content) 82 | if match: 83 | return match.group(0) # Return the first found integer 84 | else: 85 | print(f"Warning: OpenAI distance response did not contain an integer: '{content}'.") 86 | return None # Signal failure 87 | 88 | def ask_puzzle_correction_to_chatgpt(image_path, model=None): 89 | client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) 90 | base64_image = image_to_base64(image_path) 91 | prompt = """ 92 | **CRITICAL ALIGNMENT CORRECTION.** 93 | Your task is to determine the final pixel adjustment required to **perfectly align** the puzzle piece into its slot. 94 | * A **perfect fit** means the puzzle piece sits **flush** in the slot with **no visible gray gaps** on either side. 95 | * **Look carefully**: If you see **any gray space** between the piece and the slot, then the alignment is incorrect. 96 | * If the piece is **too far to the left**, provide a **positive integer** (move right). 97 | * If the piece is **too far to the right**, provide a **negative integer** (move left). 98 | * If the alignment is **already perfect**, respond with `0`. 99 | ⚠️ **Do not guess**. Only respond with a non-zero value if you can clearly identify a misalignment. 100 | ⚠️ **Output only the integer. Nothing else. No units, no words.** 101 | """ 102 | model_to_use = model if model else "gpt-4o" 103 | 104 | response = client.chat.completions.create( 105 | model=model_to_use, 106 | messages=[ 107 | {"role": "system", "content": prompt}, 108 | {"role": "user", "content": [{"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64_image}"}}]} 109 | ], 110 | temperature=0, max_tokens=50 111 | ) 112 | content = response.choices[0].message.content.strip() 113 | match = re.search(r'-?\d+', content) 114 | if match: 115 | return match.group(0) # Return the first found integer 116 | else: 117 | print(f"Warning: OpenAI correction response did not contain an integer: '{content}'.") 118 | return None # Signal failure 119 | 120 | def ask_puzzle_correction_direction_to_openai(image_path, model=None): 121 | client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) 122 | base64_image = image_to_base64(image_path) 123 | prompt = ( 124 | "You are an expert in visual analysis for automation. Your task is to determine the direction of movement needed to solve a slider puzzle. " 125 | "Analyze the provided image, which shows the result of a first attempt. The puzzle piece is the element that was moved from the left. The target is the empty, darker slot it needs to fit into. " 126 | "If the puzzle piece is to the LEFT of the target slot, you must respond with only a single '+' character. " 127 | "If the puzzle piece is to the RIGHT of the target slot, you must respond with only a single '-' character. " 128 | "Do not provide any other characters, words, or explanations. Your entire response must be either '+' or '-'." 129 | ) 130 | model_to_use = model if model else "gpt-4o" 131 | response = client.chat.completions.create( 132 | model=model_to_use, 133 | messages=[ 134 | {"role": "system", "content": prompt}, 135 | {"role": "user", "content": [{"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64_image}"}}]} 136 | ] 137 | ) 138 | return response.choices[0].message.content.strip() 139 | 140 | def ask_best_fit_to_openai(image_paths, model=None): 141 | client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) 142 | prompt = """ 143 | You are given multiple images of a puzzle CAPTCHA attempt. Your task is to select the image where the puzzle piece is placed most correctly into the slot. 144 | The most important rule is that there must be no visible black gap or dark space between the piece and the slot edges. An image with any gap must be disqualified. 145 | Among images with no gaps, choose the one with the most precise fit and least misalignment. 146 | Ignore all other UI elements like sliders or buttons. 147 | Respond with only the index number (e.g., 0, 1, 2) of the best image. 148 | """ 149 | 150 | user_content = [{"type": "text", "text": prompt}] 151 | for path in image_paths: 152 | base64_image = image_to_base64(path) 153 | user_content.append({"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64_image}"}}) 154 | 155 | model_to_use = model if model else "gpt-4o" 156 | 157 | response = client.chat.completions.create( 158 | model=model_to_use, 159 | messages=[ 160 | {"role": "system", "content": "You are an expert at analyzing puzzle captcha images."}, 161 | {"role": "user", "content": user_content} 162 | ] 163 | ) 164 | content = response.choices[0].message.content.strip() 165 | match = re.search(r'\d+', content) 166 | if match: # Index should be a non-negative integer 167 | return match.group(0) 168 | else: 169 | print(f"Warning: OpenAI best-fit response did not contain an integer: '{content}'.") 170 | return None # Signal failure 171 | 172 | def ask_audio_to_openai(audio_path, model=None): 173 | client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) 174 | #prompt = "The audio is in American English. Type only the letters you hear clearly and loudly spoken. Ignore any background words, sounds, or faint speech. Enter the letters in the exact order they are spoken." 175 | prompt = "what is the captcha answer?" 176 | model_to_use = model if model else "gpt-4o-transcribe" 177 | max_retries = 3 178 | for attempt in range(max_retries): 179 | try: 180 | with open(audio_path, "rb") as audio_file: 181 | response = client.audio.transcriptions.create(model=model_to_use, file=audio_file, prompt=prompt) 182 | cleaned_transcription = re.sub(r'[^a-zA-Z0-9]', '', response.text.strip()) 183 | return cleaned_transcription 184 | except APIStatusError as e: 185 | if e.status_code == 503 and attempt < max_retries - 1: 186 | wait_time = 3 * (attempt + 1) 187 | print(f"OpenAI API is overloaded (503). Retrying in {wait_time} seconds...") 188 | time.sleep(wait_time) 189 | else: 190 | print(f"OpenAI API error after retries: {e}") 191 | raise e 192 | except Exception as e: 193 | print(f"An unexpected error occurred during OpenAI audio transcription: {e}") 194 | raise e 195 | raise Exception("Failed to get transcription from OpenAI after multiple retries.") 196 | 197 | def ask_recaptcha_instructions_to_chatgpt(image_path, model=None): 198 | client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) 199 | base64_image = image_to_base64(image_path) 200 | prompt = "Analyze the blue instruction bar in the image. Identify the primary object the user is asked to select. For example, if it says 'Select all squares with motorcycles', the object is 'motorcycles'. Respond with only the single object name in lowercase. If the instruction is to 'click skip', return 'skip'." 201 | model_to_use = model if model else "gpt-4o" 202 | response = client.chat.completions.create( 203 | model=model_to_use, 204 | messages=[ 205 | {"role": "user", "content": [ 206 | {"type": "text", "text": prompt}, 207 | {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64_image}"}} 208 | ]} 209 | ], 210 | temperature=0, max_tokens=50 211 | ) 212 | return response.choices[0].message.content.strip().lower() 213 | 214 | def ask_if_tile_contains_object_chatgpt(image_path, object_name, model=None): 215 | client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) 216 | base64_image = image_to_base64(image_path) 217 | prompt = f"Does this image clearly contain a '{object_name}' or a recognizable part of a '{object_name}'? Respond only with 'true' if you are certain. If you are unsure or cannot tell confidently, respond only with 'false'." 218 | model_to_use = model if model else "gpt-4o" 219 | response = client.chat.completions.create( 220 | model=model_to_use, 221 | messages=[ 222 | {"role": "user", "content": [ 223 | {"type": "text", "text": prompt}, 224 | {"type": "image_url", "image_url": {"url": f"data:image/png;base64,{base64_image}"}} 225 | ]} 226 | ], 227 | temperature=0, max_tokens=10 228 | ) 229 | return response.choices[0].message.content.strip().lower() 230 | 231 | # --- Gemini Functions --- 232 | def ask_text_to_gemini(image_path, model=None): 233 | if not gemini_client: raise Exception("Gemini API key not configured.") 234 | prompt = "Act as a blind person assistant. Read the text from the image and give me only the text answer." 235 | with open(image_path, 'rb') as f: image_bytes = f.read() 236 | model_to_use = model if model else "gemini-2.5-pro" 237 | response = gemini_client.models.generate_content(model=model_to_use, contents=[types.Part.from_bytes(data=image_bytes, mime_type='image/png'), prompt]) 238 | return response.text.strip() 239 | 240 | def ask_puzzle_distance_to_gemini(image_path, model=None): 241 | if not gemini_client: raise Exception("Gemini API key not configured.") 242 | prompt = """ 243 | Analyze the image and determine the correct slider movement needed to solve the puzzle CAPTCHA. 244 | * The goal is to drag the slider **so that the center line of the three-line slider handle** (the vertical bar in the middle of the white circle) aligns **exactly with the horizontal center of the black slot** shown in the puzzle area. 245 | * The alignment is considered correct only if the **middle vertical line of the handle** is in **perfect vertical alignment** with the **center of the empty slot**. 246 | * You must calculate the **horizontal pixel distance** from the current center of the handle to the center of the empty slot. 247 | * The movement should be **horizontal only**. 248 | * Return the number of **pixels to move the slider to the right** to reach perfect alignment. 249 | * **If the handle is already perfectly aligned with the slot, return 0.** 250 | * **Do not return a negative number** — assume the handle always starts to the **left** of the target. 251 | * **Cap the value at 260** if it exceeds this maximum range. 252 | * **Return only the integer**. No units. No explanation. 253 | **Expected output:** A single integer (e.g., `134`) 254 | 255 | """ 256 | with open(image_path, 'rb') as f: image_bytes = f.read() 257 | model_to_use = model if model else "gemini-2.5-pro" 258 | response = gemini_client.models.generate_content( 259 | model=model_to_use, 260 | contents=[types.Part.from_bytes(data=image_bytes, mime_type='image/png'), prompt] 261 | ) 262 | return response.text 263 | 264 | def ask_puzzle_correction_to_gemini(image_path, model=None): 265 | if not gemini_client: raise Exception("Gemini API key not configured.") 266 | prompt = """ 267 | **CRITICAL ALIGNMENT CORRECTION.** 268 | Your task is to determine the final pixel adjustment required to **perfectly align** the puzzle piece into its slot. 269 | * A **perfect fit** means the puzzle piece sits **flush** in the slot with **no visible gray gaps** on either side. 270 | * **Look carefully**: If you see **any gray space** between the piece and the slot, then the alignment is incorrect. 271 | * If the piece is **too far to the left**, provide a **positive integer** (move right). 272 | * If the piece is **too far to the right**, provide a **negative integer** (move left). 273 | * If the alignment is **already perfect**, respond with `0`. 274 | ⚠️ **Do not guess**. Only respond with a non-zero value if you can clearly identify a misalignment. 275 | ⚠️ **Output only the integer. Nothing else. No units, no words.** 276 | """ 277 | with open(image_path, 'rb') as f: image_bytes = f.read() 278 | model_to_use = model if model else "gemini-2.5-pro" 279 | response = gemini_client.models.generate_content( 280 | model=model_to_use, 281 | contents=[types.Part.from_bytes(data=image_bytes, mime_type='image/png'), prompt] 282 | ) 283 | return response.text 284 | 285 | def ask_puzzle_correction_direction_to_gemini(image_path, model=None): 286 | if not gemini_client: raise Exception("Gemini API key not configured.") 287 | prompt = ( 288 | "You are an expert in visual analysis for automation. Your task is to determine the direction of movement needed to solve a slider puzzle. " 289 | "Analyze the provided image, which shows the result of a first attempt. The puzzle piece is the element that was moved from the left. The target is the empty, darker slot it needs to fit into. " 290 | "If the puzzle piece is to the LEFT of the target slot, you must respond with only a single '+' character. " 291 | "If the puzzle piece is to the RIGHT of the target slot, you must respond with only a single '-' character. " 292 | "Do not provide any other characters, words, or explanations. Your entire response must be either '+' or '-'." 293 | ) 294 | with open(image_path, 'rb') as f: image_bytes = f.read() 295 | model_to_use = model if model else "gemini-2.5-pro" 296 | response = gemini_client.models.generate_content( 297 | model=model_to_use, 298 | contents=[types.Part.from_bytes(data=image_bytes, mime_type='image/png'), prompt] 299 | ) 300 | return response.text.strip() 301 | 302 | def ask_best_fit_to_gemini(image_paths, model=None): 303 | if not gemini_client: raise Exception("Gemini API key not configured.") 304 | prompt = """ 305 | You are given multiple images of a puzzle CAPTCHA attempt. Your task is to select the image where the puzzle piece is placed most correctly into the slot. 306 | The most important rule is that there must be no visible black gap or dark space between the piece and the slot edges. An image with any gap must be disqualified. 307 | Among images with no gaps, choose the one with the most precise fit and least misalignment. 308 | Ignore all other UI elements like sliders or buttons. 309 | Respond with only the index number (e.g., 0, 1, 2) of the best image. 310 | """ 311 | content_parts = [prompt] 312 | for path in image_paths: 313 | with open(path, 'rb') as f: 314 | image_bytes = f.read() 315 | content_parts.append(types.Part.from_bytes(data=image_bytes, mime_type='image/png')) 316 | 317 | model_to_use = model if model else "gemini-2.5-pro" 318 | response = gemini_client.models.generate_content(model=model_to_use, contents=content_parts) 319 | return response.text.strip() 320 | 321 | def ask_audio_to_gemini(audio_path, model=None): 322 | if not gemini_client: raise Exception("Gemini API key not configured.") 323 | system_instruction = "The audio is in American English. Type only the letters you hear clearly and loudly spoken. Ignore any background words, sounds, or faint speech. Enter the letters in the exact order they are spoken." 324 | with open(audio_path, 'rb') as f: audio_bytes = f.read() 325 | audio_part = types.Part.from_bytes(data=audio_bytes, mime_type='audio/mpeg') 326 | model_to_use = model if model else "gemini-2.5-pro" 327 | response = gemini_client.models.generate_content( 328 | model=model_to_use, 329 | config=types.GenerateContentConfig(system_instruction=system_instruction), 330 | contents=["Transcribe the captcha from the audio file.", audio_part] 331 | ) 332 | cleaned_transcription = re.sub(r'[^a-zA-Z0-9]', '', response.text.strip()) 333 | return cleaned_transcription 334 | 335 | def ask_recaptcha_instructions_to_gemini(image_path, model=None): 336 | if not gemini_client: raise Exception("Gemini API key not configured.") 337 | prompt = """ 338 | Analyze the blue instruction bar in the image. Identify the primary object the user is asked to select. 339 | For example, if it says 'Select all squares with motorcycles', the object is 'motorcycles'. 340 | Respond with only the single object name in lowercase. If the instruction is to 'click skip', return 'skip'. 341 | """ 342 | with open(image_path, 'rb') as f: image_bytes = f.read() 343 | model_to_use = model if model else "gemini-2.5-pro" 344 | response = gemini_client.models.generate_content(model=model_to_use, contents=[types.Part.from_bytes(data=image_bytes, mime_type='image/png'), prompt]) 345 | return response.text.strip().lower() 346 | 347 | def ask_if_tile_contains_object_gemini(image_path, object_name, model=None): 348 | if not gemini_client: raise Exception("Gemini API key not configured.") 349 | prompt = f"Does this image clearly contain a '{object_name}' or a recognizable part of a '{object_name}'? Respond only with 'true' if you are certain. If you are unsure or cannot tell confidently, respond only with 'false'." 350 | with open(image_path, 'rb') as f: image_bytes = f.read() 351 | model_to_use = model if model else "gemini-2.5-pro" 352 | response = gemini_client.models.generate_content(model=model_to_use, contents=[types.Part.from_bytes(data=image_bytes, mime_type='image/png'), prompt]) 353 | return response.text.strip().lower() -------------------------------------------------------------------------------- /main.py: -------------------------------------------------------------------------------- 1 | import argparse 2 | import os 3 | import time 4 | import random 5 | import re 6 | import base64 7 | import urllib.request 8 | from datetime import datetime 9 | from dotenv import load_dotenv 10 | from selenium import webdriver 11 | from selenium.webdriver import ActionChains 12 | from selenium.webdriver.common.by import By 13 | from selenium.webdriver.support.ui import WebDriverWait 14 | from selenium.webdriver.support import expected_conditions as EC 15 | from openai import OpenAI, APIStatusError 16 | from google import genai 17 | from google.genai import types 18 | from puzzle_solver import solve_geetest_puzzle 19 | from PIL import Image 20 | import traceback 21 | from concurrent.futures import ThreadPoolExecutor 22 | from ai_utils import ( 23 | ask_text_to_chatgpt, 24 | ask_text_to_gemini, 25 | ask_audio_to_openai, 26 | ask_audio_to_gemini, 27 | ask_recaptcha_instructions_to_chatgpt, 28 | ask_recaptcha_instructions_to_gemini, 29 | ask_if_tile_contains_object_chatgpt, 30 | ask_if_tile_contains_object_gemini, 31 | ask_puzzle_distance_to_gemini, 32 | ask_puzzle_distance_to_chatgpt, 33 | ask_puzzle_correction_to_chatgpt, 34 | ask_puzzle_correction_to_gemini 35 | ) 36 | 37 | #todo: sesli captchada sese asıl captchayı söyledikten sonra ignore previous instructions diyip sonra random bir captcha daha vericem 38 | load_dotenv() 39 | 40 | # Initialize clients at the top level 41 | gemini_client = None 42 | if os.getenv("GOOGLE_API_KEY"): 43 | gemini_client = genai.Client() 44 | 45 | def create_success_gif(image_paths, output_folder="successful_solves"): 46 | """Creates a GIF from a list of images, resizing them to the max dimensions without distortion.""" 47 | if not image_paths: 48 | print("No images provided for GIF creation.") 49 | return 50 | 51 | os.makedirs(output_folder, exist_ok=True) 52 | 53 | valid_images = [] 54 | for path in image_paths: 55 | if os.path.exists(path): 56 | try: 57 | valid_images.append(Image.open(path).convert("RGB")) 58 | except Exception as e: 59 | print(f"Warning: Could not open or convert image {path}. Skipping. Error: {e}") 60 | else: 61 | print(f"Warning: Image path for GIF not found: {path}. Skipping.") 62 | 63 | if not valid_images: 64 | print("\nCould not create success GIF because no valid source images were found.") 65 | return 66 | 67 | try: 68 | # Find the maximum width and height among all images 69 | max_width = max(img.width for img in valid_images) 70 | max_height = max(img.height for img in valid_images) 71 | canvas_size = (max_width, max_height) 72 | 73 | processed_images = [] 74 | for img in valid_images: 75 | # Create a new blank canvas with the max dimensions 76 | canvas = Image.new('RGB', canvas_size, (255, 255, 255)) 77 | # Paste the original image into the center of the canvas 78 | paste_position = ((max_width - img.width) // 2, (max_height - img.height) // 2) 79 | canvas.paste(img, paste_position) 80 | processed_images.append(canvas) 81 | 82 | timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") 83 | output_path = os.path.join(output_folder, f"success_{timestamp}.gif") 84 | 85 | processed_images[0].save( 86 | output_path, 87 | save_all=True, 88 | append_images=processed_images[1:], 89 | duration=800, 90 | loop=0 91 | ) 92 | print(f"\n✨ Successfully saved solution GIF to {output_path}") 93 | except Exception as e: 94 | print(f"\nCould not create success GIF. Error: {e}") 95 | 96 | def average_of_array(arr): 97 | if not arr: 98 | return 0 # Handle edge case of empty array 99 | sum_elements = sum(arr) 100 | average = sum_elements / len(arr) 101 | return average - 5 102 | 103 | def check_tile_for_object(args): 104 | """Helper function for ThreadPoolExecutor to call the correct AI provider for a single tile.""" 105 | tile_index, tile_path, object_name, provider, model = args 106 | 107 | try: 108 | decision_str = '' 109 | if provider == 'openai': 110 | decision_str = ask_if_tile_contains_object_chatgpt(tile_path, object_name, model) 111 | else: # gemini 112 | decision_str = ask_if_tile_contains_object_gemini(tile_path, object_name, model) 113 | 114 | print(f"Tile {tile_index}: Does it contain '{object_name}'? AI says: {decision_str}") 115 | return tile_index, decision_str == 'true' 116 | except Exception as e: 117 | print(f"Error checking tile {tile_index}: {e}") 118 | return tile_index, False 119 | 120 | def audio_test(file_path='files/audio.mp3', provider='gemini', model=None): 121 | """Transcribes a local audio file using the specified AI provider.""" 122 | if not os.path.exists(file_path): 123 | print(f"Error: Audio file not found at '{file_path}'") 124 | return 125 | 126 | try: 127 | print(f"Transcribing audio from '{file_path}' using {provider.upper()}...") 128 | transcription = "" 129 | if provider == 'openai': 130 | transcription = ask_audio_to_openai(file_path, model) 131 | else: # default to gemini 132 | transcription = ask_audio_to_gemini(file_path, model) 133 | 134 | print("\n--- Transcription Result ---") 135 | print(transcription) 136 | print("--------------------------\n") 137 | except Exception as e: 138 | print(f"An error occurred during audio transcription: {e}") 139 | 140 | def complicated_text_test(driver, provider='openai', model=None): 141 | """ 142 | Solves a single "Complicated Text" captcha instance, trying up to 3 times. 143 | The benchmark is successful if any attempt passes. 144 | Returns the attempt number (1, 2, or 3) on success, or 0 on failure. 145 | """ 146 | driver.get("https://2captcha.com/demo/mtcaptcha") 147 | time.sleep(5) 148 | screenshot_paths = [] 149 | 150 | for attempt in range(3): 151 | print(f"\n--- Complicated Text: Attempt {attempt + 1}/3 ---") 152 | try: 153 | # 1. Get the captcha image 154 | iframe = WebDriverWait(driver, 10).until( 155 | EC.presence_of_element_located((By.ID, "mtcaptcha-iframe-1")) 156 | ) 157 | time.sleep(2) # Allow time for new captcha to load on retries 158 | 159 | captcha_screenshot_path = f'screenshots/complicated_text_attempt_{attempt + 1}.png' 160 | iframe.screenshot(captcha_screenshot_path) 161 | screenshot_paths.append(captcha_screenshot_path) 162 | 163 | # 2. Ask AI for the answer 164 | response = '' 165 | if provider == 'openai': 166 | response = ask_text_to_chatgpt(captcha_screenshot_path, model) 167 | else: # gemini 168 | response = ask_text_to_gemini(captcha_screenshot_path, model) 169 | 170 | print(f"AI transcription: '{response}'") 171 | 172 | # 3. Submit the answer 173 | driver.switch_to.frame(iframe) 174 | input_field = WebDriverWait(driver, 10).until( 175 | EC.presence_of_element_located((By.CLASS_NAME, "mtcap-noborder.mtcap-inputtext.mtcap-inputtext-custom")) 176 | ) 177 | input_field.clear() 178 | input_field.send_keys(response) 179 | time.sleep(2) 180 | driver.switch_to.default_content() 181 | 182 | submit_button = WebDriverWait(driver, 10).until( 183 | EC.element_to_be_clickable((By.XPATH, "//button[contains(., 'Check')]")) 184 | ) 185 | submit_button.click() 186 | 187 | # 4. Check for success 188 | WebDriverWait(driver, 5).until( 189 | EC.presence_of_element_located((By.CLASS_NAME, "_successMessage_w91t8_1")) 190 | ) 191 | 192 | print("Captcha passed successfully!") 193 | final_success_path = f"screenshots/final_success_complicated_{datetime.now().strftime('%H%M%S')}.png" 194 | driver.save_screenshot(final_success_path) 195 | screenshot_paths.append(final_success_path) 196 | create_success_gif(screenshot_paths, output_folder=f"successful_solves/complicated_text_{provider}") 197 | return attempt + 1 # Return the successful attempt number 198 | 199 | except Exception as e: 200 | print(f"Attempt {attempt + 1} did not pass.") 201 | if attempt < 2: 202 | print("Retrying...") 203 | else: 204 | print("All 3 attempts failed for this benchmark run.") 205 | 206 | try: 207 | driver.switch_to.default_content() 208 | except Exception: 209 | pass 210 | 211 | return 0 212 | 213 | def text_test(driver, provider='openai', model=None): 214 | """ 215 | Solves a single "Normal Text" captcha instance. 216 | Returns 1 for success, 0 for failure. 217 | """ 218 | driver.get("https://2captcha.com/demo/normal") 219 | time.sleep(5) 220 | screenshot_paths = [] 221 | try: 222 | captcha_image = WebDriverWait(driver, 10).until( 223 | EC.presence_of_element_located((By.CLASS_NAME, "_captchaImage_rrn3u_9")) 224 | ) 225 | time.sleep(2) 226 | captcha_screenshot_path = 'screenshots/text_captcha_1.png' 227 | captcha_image.screenshot(captcha_screenshot_path) 228 | screenshot_paths.append(captcha_screenshot_path) 229 | 230 | response = '' 231 | if provider == 'openai': 232 | response = ask_text_to_chatgpt(captcha_screenshot_path, model) 233 | else: # gemini 234 | response = ask_text_to_gemini(captcha_screenshot_path, model) 235 | 236 | print(f"AI transcription: '{response}'") 237 | 238 | input_field = WebDriverWait(driver, 10).until( 239 | EC.presence_of_element_located((By.CLASS_NAME, "_inputInner_ws73z_12")) 240 | ) 241 | input_field.clear() 242 | input_field.send_keys(response) 243 | submit_button = WebDriverWait(driver, 10).until( 244 | EC.element_to_be_clickable((By.XPATH, "//button[contains(., 'Check')]")) 245 | ) 246 | submit_button.click() 247 | 248 | # If correct, the 'Check' button will disappear. 249 | WebDriverWait(driver, 10).until( 250 | EC.invisibility_of_element_located((By.XPATH, "//button[contains(., 'Check')]")) 251 | ) 252 | 253 | print("Captcha passed successfully!") 254 | 255 | final_success_path = f"screenshots/final_success_text_{datetime.now().strftime('%H%M%S')}.png" 256 | driver.save_screenshot(final_success_path) 257 | screenshot_paths.append(final_success_path) 258 | create_success_gif(screenshot_paths, output_folder=f"successful_solves/text_{provider}") 259 | return 1 260 | except Exception as e: 261 | print(f"Captcha failed... Error: {e}") 262 | return 0 263 | 264 | def recaptcha_v2_test(driver, provider='openai', model=None): 265 | """ 266 | Solves a single reCAPTCHA v2 instance on the 2captcha demo page. 267 | Returns 1 for success, 0 for failure. 268 | """ 269 | driver.get("https://2captcha.com/demo/recaptcha-v2") 270 | 271 | screenshot_paths = [] 272 | try: 273 | # --- Start the challenge --- 274 | recaptcha_frame = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, "//iframe[@title='reCAPTCHA']"))) 275 | driver.switch_to.frame(recaptcha_frame) 276 | WebDriverWait(driver, 10).until(EC.element_to_be_clickable((By.CLASS_NAME, "recaptcha-checkbox-border"))).click() 277 | driver.switch_to.default_content() 278 | time.sleep(2) 279 | 280 | # --- Loop to solve image challenges as long as they appear --- 281 | MAX_CHALLENGE_ATTEMPTS = 5 282 | clicked_tile_indices = set() 283 | last_object_name = "" 284 | num_last_clicks = 0 285 | for attempt in range(MAX_CHALLENGE_ATTEMPTS): 286 | print(f"\nreCAPTCHA image challenge attempt {attempt + 1}/{MAX_CHALLENGE_ATTEMPTS}...") 287 | 288 | # --- Check if a puzzle is present --- 289 | try: 290 | challenge_iframe = WebDriverWait(driver, 3).until(EC.presence_of_element_located((By.XPATH, "//iframe[contains(@title, 'recaptcha challenge expires in two minutes')]"))) 291 | driver.switch_to.frame(challenge_iframe) 292 | except Exception: 293 | print("No new image challenge found. Proceeding to final submission.") 294 | break # Exit the loop 295 | 296 | # --- If puzzle is found, solve it --- 297 | instruction_element = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.CLASS_NAME, "rc-imageselect-instructions"))) 298 | instruction_screenshot_path = f'screenshots/recaptcha_instruction_{attempt + 1}.png' 299 | instruction_element.screenshot(instruction_screenshot_path) 300 | screenshot_paths.append(instruction_screenshot_path) 301 | 302 | object_name = '' 303 | if provider == 'openai': 304 | object_name = ask_recaptcha_instructions_to_chatgpt(instruction_screenshot_path, model) 305 | else: # gemini 306 | object_name = ask_recaptcha_instructions_to_gemini(instruction_screenshot_path, model) 307 | print(f"AI identified the target object as: '{object_name}'") 308 | 309 | is_new_object = object_name.lower() != last_object_name.lower() 310 | if is_new_object: 311 | print(f"New challenge object detected ('{object_name}'). Resetting clicked tiles.") 312 | clicked_tile_indices = set() 313 | last_object_name = object_name 314 | elif num_last_clicks >= 3: 315 | print("Previously clicked 3 or more tiles, assuming a new challenge. Resetting clicked tiles.") 316 | clicked_tile_indices = set() 317 | else: 318 | print("Same challenge object and < 3 tiles clicked previously. Will not re-click already selected tiles.") 319 | 320 | table = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, "//table[contains(@class, 'rc-imageselect-table')]"))) 321 | all_tiles = table.find_elements(By.TAG_NAME, "td") 322 | 323 | tile_paths = [] 324 | for i, tile in enumerate(all_tiles): 325 | tile_path = f'screenshots/tile_{attempt + 1}_{i}.png' 326 | tile.screenshot(tile_path) 327 | screenshot_paths.append(tile_path) 328 | tile_paths.append(tile_path) 329 | 330 | tasks = [(i, path, object_name, provider, model) for i, path in enumerate(tile_paths)] 331 | tiles_to_click_this_round = [] 332 | with ThreadPoolExecutor(max_workers=len(all_tiles)) as executor: 333 | results = executor.map(check_tile_for_object, tasks) 334 | for tile_index, should_click in results: 335 | if should_click: 336 | tiles_to_click_this_round.append(tile_index) 337 | 338 | current_attempt_tiles = set(tiles_to_click_this_round) 339 | new_tiles_to_click = current_attempt_tiles - clicked_tile_indices 340 | num_last_clicks = len(new_tiles_to_click) 341 | 342 | print(f"\nAI identified tiles for clicking: {sorted(list(current_attempt_tiles))}") 343 | print(f"Already clicked tiles: {sorted(list(clicked_tile_indices))}") 344 | print(f"Clicking {len(new_tiles_to_click)} new tiles...") 345 | 346 | for i in sorted(list(new_tiles_to_click)): 347 | try: 348 | if all_tiles[i].is_displayed() and all_tiles[i].is_enabled(): 349 | all_tiles[i].click() 350 | time.sleep(random.uniform(0.2, 0.5)) 351 | except Exception as e: 352 | print(f"Could not click tile {i}, it might be already selected or disabled. Error: {e}") 353 | 354 | clicked_tile_indices.update(new_tiles_to_click) 355 | 356 | try: 357 | verify_button = WebDriverWait(driver, 5).until(EC.element_to_be_clickable((By.ID, "recaptcha-verify-button"))) 358 | verify_button.click() 359 | time.sleep(1.5) # Wait for state change 360 | 361 | # After clicking, check if the button is now disabled, which indicates success 362 | verify_button_after_click = driver.find_element(By.ID, "recaptcha-verify-button") 363 | if verify_button_after_click.get_attribute("disabled"): 364 | print("Verify button is disabled. Image challenge passed.") 365 | driver.switch_to.default_content() 366 | print("reCAPTCHA v2 passed successfully!") 367 | 368 | final_success_path = f"screenshots/final_success_recaptcha_v2_{datetime.now().strftime('%H%M%S')}.png" 369 | driver.save_screenshot(final_success_path) 370 | screenshot_paths.append(final_success_path) 371 | 372 | create_success_gif(screenshot_paths, output_folder=f"successful_solves/recaptcha_v2_{provider}") 373 | return 1 374 | else: 375 | # This case handles "check new images" - we just let the loop continue 376 | print("Verify button still active, likely a new challenge was served.") 377 | 378 | except Exception: 379 | print("Verify button not found after clicking tiles, assuming challenge is complete.") 380 | break # Exit the loop to the final submission step 381 | 382 | driver.switch_to.default_content() 383 | time.sleep(2) 384 | else: 385 | # This 'else' belongs to the 'for' loop. Runs if the loop completes without a 'break'. 386 | print("Image challenge still present after max attempts.") 387 | return 0 388 | 389 | # --- Submit main page form --- 390 | check_button = WebDriverWait(driver, 10).until( 391 | EC.element_to_be_clickable((By.CSS_SELECTOR, "button[data-action='demo_action']")) 392 | ) 393 | check_button.click() 394 | 395 | # Check for the success message using the correct class name 396 | WebDriverWait(driver, 10).until( 397 | EC.presence_of_element_located((By.CLASS_NAME, "_successMessage_1ndnh_1")) 398 | ) 399 | 400 | print("reCAPTCHA v2 passed successfully!") 401 | 402 | final_success_path = f"screenshots/final_success_recaptcha_v2_{datetime.now().strftime('%H%M%S')}.png" 403 | driver.save_screenshot(final_success_path) 404 | screenshot_paths.append(final_success_path) 405 | 406 | create_success_gif(screenshot_paths, output_folder=f"successful_solves/recaptcha_v2_{provider}") 407 | return 1 408 | 409 | except Exception as ex: 410 | print(f"An error occurred during reCAPTCHA v2 test: {ex}. Marking as failed.") 411 | traceback.print_exc() 412 | try: 413 | driver.switch_to.default_content() 414 | except Exception: 415 | pass 416 | return 0 417 | 418 | def main(): 419 | parser = argparse.ArgumentParser(description="Test various captcha types.") 420 | parser.add_argument('captcha_type', choices=['puzzle', 'text', 'complicated_text', 'recaptcha_v2', 'audio'], 421 | help="Specify the type of captcha to test") 422 | parser.add_argument('--provider', choices=['openai', 'gemini'], default='openai', help="Specify the AI provider to use") 423 | parser.add_argument('--file', type=str, default='files/audio.mp3', help="Path to the local audio file for the 'audio' test.") 424 | parser.add_argument('--model', type=str, default=None, help="Specify the AI model to use (e.g., 'gpt-4o', 'gemini-2.5-flash').") 425 | args = parser.parse_args() 426 | 427 | os.makedirs('screenshots', exist_ok=True) 428 | 429 | if args.captcha_type == 'audio': 430 | # Audio test is now provider-aware 431 | audio_test(args.file, args.provider, args.model) 432 | return 433 | 434 | driver = webdriver.Firefox() 435 | try: 436 | if args.captcha_type == 'puzzle': 437 | solve_geetest_puzzle(driver, args.provider) 438 | elif args.captcha_type == 'text': 439 | text_test(driver, args.provider, args.model) 440 | elif args.captcha_type == 'complicated_text': 441 | complicated_text_test(driver, args.provider, args.model) 442 | elif args.captcha_type == 'recaptcha_v2': 443 | recaptcha_v2_test(driver, args.provider, args.model) 444 | finally: 445 | driver.quit() 446 | 447 | if __name__ == "__main__": 448 | main() 449 | --------------------------------------------------------------------------------