Ordem de imagem BLS CAPTCHA e tratamento de resposta de grade

BLS CAPTCHAs exibem grades de imagens onde os usuários devem selecionar ou reordenar as imagens. Este guia aborda layouts de grade, formatos de resposta e como enviar soluções corretamente.

Tipos de desafio de grade BLS

Ordenação de imagens

O usuário deve organizar as imagens em uma sequência específica (por exemplo, números crescentes, ordem alfabética).

Seleção de imagens

O usuário deve clicar em imagens específicas que correspondam a uma descrição (por exemplo, “selecionar todas as imagens com texto”).

Correspondência de padrões

O usuário deve identificar quais imagens correspondem a um padrão ou amostra apresentada.

Mapeamento de layout de grade

# grid_mapping.py

# BLS grids typically use 3x3 or 4x4 layouts
# Each cell maps to an index:

# 3x3 grid:
# [0] [1] [2]
# [3] [4] [5]
# [6] [7] [8]

# 4x4 grid:
#  [0]  [1]  [2]  [3]
#  [4]  [5]  [6]  [7]
#  [8]  [9] [10] [11]
# [12] [13] [14] [15]

def grid_position(index, cols=3):
    """Convert flat index to row, column."""
    return index // cols, index % cols


def index_from_position(row, col, cols=3):
    """Convert row, column to flat index."""
    return row * cols + col


# Example: For a 3x3 grid, position (1, 2) = index 5
print(grid_position(5, cols=3))   # (1, 2)
print(index_from_position(1, 2))  # 5

Resolvendo CAPTCHAs de grade BLS

# solve_bls_grid.py
import requests
import time
import os
import json


def solve_bls_grid(sitekey, pageurl, instructions=None):
    """Solve a BLS grid CAPTCHA and get response indices."""
    api_key = os.environ["CAPTCHAAI_API_KEY"]

    payload = {
        "key": api_key,
        "method": "bls",
        "sitekey": sitekey,
        "pageurl": pageurl,
        "json": 1,
    }
    if instructions:
        payload["instructions"] = instructions

    resp = requests.post(
        "https://ocr.captchaai.com/in.php",
        data=payload,
        timeout=30,
    )
    result = resp.json()
    if result.get("status") != 1:
        raise RuntimeError(f"Submit failed: {result.get('request')}")

    task_id = result["request"]

    time.sleep(10)
    for _ in range(30):
        resp = requests.get("https://ocr.captchaai.com/res.php", params={
            "key": api_key,
            "action": "get",
            "id": task_id,
            "json": 1,
        }, timeout=15)
        data = resp.json()
        if data.get("status") == 1:
            return data["request"]
        if data["request"] != "CAPCHA_NOT_READY":
            raise RuntimeError(data["request"])
        time.sleep(5)

    raise TimeoutError("BLS grid solve timeout")

Analisando respostas de grade

# parse_response.py
import json


def parse_grid_response(solution):
    """Parse CaptchaAI BLS response into actionable grid data."""
    # Solution may be JSON or comma-separated indices
    if isinstance(solution, str):
        try:
            parsed = json.loads(solution)
            return parsed
        except json.JSONDecodeError:
            pass

        # Try comma-separated indices
        if "," in solution:
            return [int(x.strip()) for x in solution.split(",")]

        # Single value
        return [solution]

    return solution


def format_for_submission(indices, grid_size=9):
    """Format indices for form submission."""
    # Some sites expect a bitmask
    bitmask = ["0"] * grid_size
    for idx in indices:
        if isinstance(idx, int) and 0 <= idx < grid_size:
            bitmask[idx] = "1"

    return {
        "indices": indices,
        "bitmask": "".join(bitmask),
        "count": len(indices),
    }

Injetando soluções de grade com selênio

# inject_grid.py
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import time


def click_grid_cells(driver, indices):
    """Click specific grid cells based on solution indices."""
    wait = WebDriverWait(driver, 10)

    # Find all grid cells
    cells = wait.until(
        EC.presence_of_all_elements_located(
            (By.CSS_SELECTOR, ".captcha-grid .cell, .bls-grid img, .grid-item")
        )
    )

    for idx in indices:
        if isinstance(idx, int) and idx < len(cells):
            cells[idx].click()
            time.sleep(0.3)  # Brief delay between clicks


def set_order_sequence(driver, ordered_indices):
    """Click grid cells in the correct order for ordering challenges."""
    wait = WebDriverWait(driver, 10)

    cells = wait.until(
        EC.presence_of_all_elements_located(
            (By.CSS_SELECTOR, ".captcha-grid .cell, .bls-grid img")
        )
    )

    for idx in ordered_indices:
        if isinstance(idx, int) and idx < len(cells):
            cells[idx].click()
            time.sleep(0.5)  # Ordering needs pauses between clicks


def inject_hidden_response(driver, solution_value):
    """Set the solution in a hidden input field."""
    driver.execute_script("""
        var inputs = document.querySelectorAll(
            'input[name*="captcha"], input[name*="response"], #captcha-answer'
        );
        for (var i = 0; i < inputs.length; i++) {
            inputs[i].value = arguments[0];
        }
    """, str(solution_value))

Fluxo de grade BLS completo

# full_flow.py
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC


def handle_bls_grid(driver, pageurl):
    """Complete BLS grid CAPTCHA handling."""

    wait = WebDriverWait(driver, 15)

    # Wait for CAPTCHA to load
    captcha = wait.until(
        EC.presence_of_element_located(
            (By.CSS_SELECTOR, "[data-sitekey], .bls-captcha")
        )
    )
    sitekey = captcha.get_attribute("data-sitekey")

    # Get instructions
    instructions = None
    try:
        inst = driver.find_element(By.CSS_SELECTOR, ".captcha-instructions")
        instructions = inst.text.strip()
    except Exception:
        pass

    # Solve via CaptchaAI
    solution = solve_bls_grid(sitekey, pageurl, instructions)
    parsed = parse_grid_response(solution)

    # Determine response method
    grid_cells = driver.find_elements(
        By.CSS_SELECTOR, ".captcha-grid .cell, .bls-grid img"
    )

    if grid_cells:
        # Click-based response
        if isinstance(parsed, list) and all(isinstance(x, int) for x in parsed):
            click_grid_cells(driver, parsed)
        else:
            inject_hidden_response(driver, solution)
    else:
        # Hidden input response
        inject_hidden_response(driver, solution)

    # Submit
    submit = driver.find_element(
        By.CSS_SELECTOR, "button[type='submit'], .submit-btn, #verify"
    )
    submit.click()

    return True

Solução de problemas

Perguntas frequentes

Como CaptchaAI conhece o layout da grade?

CaptchaAI recebe o desafio CAPTCHA dos servidores do BLS e resolve remotamente. Você fornece a chave do site e o pageurl; a API cuida da análise da grade.

E se a grade mudar depois que eu enviar?

Alguns formulários de BLS mostram um segundo desafio após a aprovação do primeiro. Lide com isso verificando um novo elemento CAPTCHA após o envio.

Posso reutilizar uma solução de grade BLS?

Não. Cada solução está vinculada a uma sessão de desafio específica. Sempre resolva de forma nova.

Guias Relacionados

• Aprofundamento dos parâmetros BLS CAPTCHA
• Comparação de GeeTest vs BLS

• Lidar com os desafios da rede BLS -comece com CaptchaAI.*