Cap.guruAutomated solving of Binance Captcha
A comprehensive overview of Binance's proprietary captcha system, how it works, and methods for automated solving via image click recognition.
Start solvingWhat is Binance Captcha
Binance Captcha is a proprietary verification system developed by Binance, the world's largest cryptocurrency exchange by trading volume. The captcha is triggered during account login, registration, and when suspicious activity is detected. Unlike third party solutions such as reCAPTCHA, Binance uses custom visual challenges: object selection on image grids and sliders for aligning elements.
Beyond visual verification, the Binance system applies additional layers of protection: device fingerprinting, behavioral analysis, and mouse trajectory tracking. Interaction data is encrypted and submitted to the server for validation, which significantly complicates automated bypass.
Visual Challenges
Object selection on image grids (animals, items, vehicles) and sliders for aligning shapes.
Behavioral Analysis
The system tracks cursor trajectory, interaction speed, and device fingerprint.
Adaptive Difficulty
The challenge difficulty adjusts based on the visitor's real time suspicion score.
How Binance Captcha Protection Works
Binance Captcha is integrated into the platform's authentication flow. During login or registration attempts, the system evaluates risk based on multiple factors: IP address, browser characteristics, and interaction history. If the suspicion level exceeds a threshold, the user is prompted to complete a visual challenge.
Challenges include two main types: image click (select a specific object from a grid) and slider (drag an element to align a shape). Solution data, including click coordinates and movement trajectories, is encrypted and sent to Binance servers for validation.
💡 Binance serves over 250 million users across 180+ countries. Its proprietary captcha protects critical operations: account login, fund withdrawals, and security settings changes.
Solving via Image Click Recognition
This method allows you to solve Binance Captcha by performing precise clicks on the required areas of the image. The service analyzes the image, identifies the object displayed in the captcha, and returns the coordinates of the point that needs to be clicked. Two versions of the Binance captcha are supported (including the slider version), as well as object selection tasks: airplane, bear, bicycle, bird, bus, car, cat, dog, elephant, fish, monkey, deer, panda, chicken, rabbit, ship, tiger, calculator, notebook, pencil, scissors. Other assignments are also supported and new ones are added regularly.
Extract Parameters
Capture the full captcha image and the instruction text specifying which images to click. The image can be submitted as a file (multipart, file parameter) or in base64 format (body parameter).
Submit the Task
Send a POST request to the API at http://api2.cap.guru/in.php with the following parameters: key (your API key), method (post or base64), textinstructions (task text, for example: "binance,dog"), click (set to "geetest" for coordinate response or "geetest2" for cell number response). For JSON response, add the json=1 parameter. The server will return the task ID.
Retrieve the Solution
Wait 5 seconds and send a GET request to http://api2.cap.guru/res.php with the parameters key, action=get, and id (the task ID). With click=geetest, the server returns coordinates in the format "coordinate:x=44,y=32;x=143,y=11". With click=geetest2, the response uses cell numbers: "1,2,6,9". If the task is not yet solved, you will receive CAPCHA_NOT_READY; repeat the request after 5 seconds.
Apply the Coordinates
To complete the challenge, sequentially click on the returned coordinates within the captcha image. The point with coordinates x=0,y=0 corresponds to the upper left corner of the image.
Best Practices
For reliable Binance Captcha solving, follow these guidelines. First, always submit the task text (textinstructions) in English only, as challenges are supported exclusively in this format. Second, use up to date proxy servers and IP rotation to reduce the likelihood of blocking. Third, simulate natural user behavior by adding delays between actions and using realistic request headers. Additionally, always verify the validity of the browser fingerprint.
Following these recommendations significantly increases the success rate and reduces costs associated with repeated attempts.
