POST 5/365 | Bots: Automated Card-Checking

[MotherRussia]

For larger batches of cards, manual testing becomes impractical. Automation via bots allows you to test dozens or hundreds of cards quickly. This method relies on scripts that simulate payment attempts across multiple sites, leveraging proxies and randomization to evade detection.

• Script Acquisition and Setup:
  • Source Code: Search GitHub for open-source card-checking scripts by querying “CC checker Python.” Look for repositories with recent updates and clear documentation. A typical script will loop through a list of card details, submit payment requests, and parse responses to determine if the card is live.
  • Environment: Set up a Python environment on a Linux VPS, rentable for $5 per month from providers like Linode or DigitalOcean. Install dependencies like requests for HTTP calls and BeautifulSoup for parsing responses, using pip commands in the terminal.
  • Input Data: Prepare a text file, such as cards.txt, containing card details in a format like number|expiry|cvv|zip. Each line represents one card. The script reads this file and processes each entry.
• Execution:
  • Target Sites: Configure the script to test low-end offshore e-commerce shops, often hosted in regions with lax fraud enforcement, like Eastern Europe or Southeast Asia. Examples include obscure dropshipping stores selling cheap electronics. These sites typically use basic payment gateways with minimal 3D Secure implementation.
  • Proxy Integration: Use a proxy rotator like ProxyMesh or a free list from sites like FreeProxyList.net. Modify the script to assign a unique proxy per request, ensuring each attempt appears to originate from a different IP. This avoids IP-based bans or rate limits.
  • Testing Logic: The script sends a $0.01 to $1 charge request to the target site’s payment API or checkout page. It then checks the response code, 200 OK indicates success, while 402 or 403 suggests a decline. Log results to a file, such as live.txt for valid cards and dead.txt for failures.
  • Speed: On a modest VPS with a 1-core CPU and 1 GB RAM, you can test 50 cards in 10 minutes, assuming a 12-second delay per request to mimic human behavior and avoid bot detection.
• Technical Considerations:
  • Error Handling: Add try-except blocks in the script to manage timeouts, connection errors, or CAPTCHAs. If a site implements CAPTCHA, integrate an API like 2Captcha, costing $0.50 per 1,000 solves, to automate resolution.
  • Obfuscation: Randomize user agents, using libraries like fake-useragent in Python, to simulate different browsers and devices. This reduces the chance of being flagged by behavioral analytics.
  • Scaling: For batches exceeding 100 cards, split the list across multiple VPS instances or threads. Use a SOCKS5 proxy pool and stagger execution times to distribute network load and avoid overwhelming target servers.

IN THE NEAR FUTURE, I WILL POST PYTHON SCRIPTS THAT WILL MAKE YOUR LIFE EASIER! FOR PROXY CHECKING, CARD CHECKING! AND MUCH MORE!​

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