Carding Bots: When and Why to Automate Hit

[Good Carder]

From a carder to carders. No theory — only practical automation that actually works in 2026, and the pitfalls that bot sellers keep quiet about.

Manual card hit is like hand-assembling cars: slow, expensive, and only good for one-offs. If you process 5–10 cards a day, automation isn't necessary — you have time to warm up each card and manually configure each session. But as soon as your volume grows to 50–100 cards a day, your hands become your worst enemy. You start making mistakes, missing details, and burning cards out of sheer fatigue.

This is where bots come in. They're not magic, not "press a button and get paid." They're a tool that requires setup, testing, and constant support. But if you use it correctly, you transform from a craftsman into a factory.

In this article, we'll cover:

• When manual hit is better than automation, and when it is worse.
• Top 3 bot frameworks of 2026: OpenBullet 2, SilverBullet, Sentry MBA.
• How to set up configurations for payment gateways (Stripe, Braintree, Adyen).
• Proxy managers and rotation: how to avoid burning all your cards in an hour.
• Automation errors that are guaranteed to lead to a ban (and how to avoid them).

Part 1. Manual hit vs. Automation: The Breakeven Point​

Many newbies think, "Automation is cool. I'll just launch a bot and sleep while the money rolls in." That's naive. Bots don't solve problems with card quality, proxy cleanliness, or anti-detection settings. They just scale your operations.

1.1 When manual hit wins​

• You're working with expensive cards ($30+ each). One mistake in the bot's configuration and you've wasted a card that cost half a day's work. Manual hit gives you 100% control at every step.
• You're using complex behavioral emulation. Bots are terrible at imitating human behavior. If a store requires session warm-up, mouse movements, or delays, a bot can't handle it. Only human hands can.
• You're testing a new gateway or a new connection. Don't automate something you don't understand. First, get a stable manual pass on 10-20 cards, then write a bot.

1.2. When automation pays off handsomely​

• A mass card checker. Manually checking 1,000 cards for validity would take 2-3 days of hell. A bot can do it in an hour.
• Repeated purchases on the same gateway. If you're purchasing Amazon gift cards and always use the same gateway (for example, Stripe with the same parameters), write a config file and run it.
• Seasonal sales and timing. When you need to buy a limited number of items in seconds on Black Friday or during a Steam sale, a bot is indispensable.

Rule of thumb: if you process fewer than 50 cards per day, don't bother with automation. If you process between 50 and 200, it makes sense to write a simple bot for a single purpose. If you process more than 200, you simply won't be able to handle the volume without bots.

1.3. Hidden Costs of Automation​

Newbies think, "I bought a bot for $50 and off I go." But they forget about:

• Time to set up the configuration. Each gateway requires its own configuration, sometimes requiring several hours of debugging.
• The cost of test cards. The config won't work the first time. You'll burn through 5-10 cards debugging.
• Proxies. A bot consumes more traffic and burns through IP addresses faster than manual hit. A pool of residential proxies is required.
• Updates. Gateways update their security every month. Your configuration, which worked yesterday, might be dead today. You need to constantly refine it.

If you're not ready for this, stick with manual hit. There's nothing wrong with being a tinkerer. What's wrong is jumping into automation without preparation and losing cards in droves.

Part 2. Top 3 Bot Frameworks in 2026​

There are dozens of programs on the market, from exotic self-recording programs to GUI-powered monsters. I'll tell you about three that actually use high-volume carders.

2.1. OpenBullet 2 – The People's Choice, But with Caveats​

What it is: An open-source framework for automating HTTP requests with support for captchas, proxies, and C# scripts. The second version (OB2) was released in 2024 and is still actively supported.

Pros:

• Free, open source.
• Huge community, tons of ready-made configs for Stripe, Shopify, Amazon.
• Flexible configuration: you can parse responses, process redirects, and solve captchas via external APIs (2captcha, CapSolver).

Cons:

• Old engine (based on .NET Framework) - modern antifraud systems (Cloudflare, DataDome) detect it via TLS fingerprinting.
• Requires good proxies – if you have cheap data centers, OB2 will burn them out in an hour.
• Difficulty in setting up complex scenarios (multiple stages, cookies, sessions).

When to use: For mass card checking via API gateways (without browser emulation). For hit cards at older merchants without advanced anti-bot protection.

Where to get configs: OpenBullet Forum (official), shadow Exploit and XSS sections. But always test the config on a test card — hidden wallets may be hardcoded into the config, sending your cards to the config vendor.

2.2. SilverBullet – OpenBullet's successor on .NET 6/8​

What it is: A fork of OpenBullet, rewritten in modern .NET (6/8). It features improved performance and HTTP/2 support.

Pros:

• Works with HTTP/2, which is important for modern websites (many gateways already require HTTP/2).
• Better support for cookies and sessions.
• The interface is more convenient than OB2.

Cons:

• Fewer ready-made configs.
• Requires .NET 6/8 (needs to be installed separately, but that's not a problem).
• Everything is still detectable via TLS fingerprinting.

When to use: If you need HTTP/2 support (for example, to work with Cloudflare or payment gateway APIs that have migrated to HTTP/2). Otherwise, OB2 is just as good.

2.3. Sentry MBA – an old horse, but for old purposes​

What is it: A classic bot for brute-forcing accounts (email + password). However, in carding, it's used to automate logins to PayPal, Amazon, and eBay, followed by withdrawals.

Pros:

• Easy to set up for basic login+password scenarios.
• Lots of ready-made configs for old versions of websites.

Cons:

• Development ceased in 2019. Does not support modern security methods.
• Cannot solve captchas (need to connect external modules).
• It is maximally detectable through fingerprinting.

When to use: Only if you've found an old store with an outdated CMS and no anti-bot support. In 2026, Sentry MBA is practically a museum piece. I don't recommend wasting your time with it.

2.4. Why didn't I mention Xevil, Xneol, and other "combines"?​

Because it's overkill for 90% of tasks. Yes, Xevil can solve captchas and emulate a browser, but setting it up is a whole other world. Experienced carders write their own scripts in Python + Puppeteer/Playwright with TLS substitution (via curl_cffi). This provides more flexibility and reduces detection. Ready-made bot frameworks are for simple mass tasks, not for targeted hit with a warmed-up session.

Part 3. Setting up the configuration for the payment gateway (using Stripe as an example)​

Let's say you want to automate hit on a store that uses Stripe. You'll need to create a configuration for OpenBullet 2 that will:

1. Get client_secret for PaymentIntent.
2. Confirm payment with card details.
3. Process the response.

3.1. Configuration structure (simplified)​

The OB2 configuration is a sequence of blocks (requests). Each block simulates an HTTP request:

Block 1: GET the product or checkout page. You need to obtain the payment_intent_client_secret. This is usually hardcoded into the HTML as a data-secret or a JavaScript variable.

Block 2: Create a PaymentIntent (if not created automatically). POST to https://api.stripe.com/v1/payment_intents with the following parameters:

• amount (amount in cents)
• currency (usd, eur)
• payment_method_types[]=card

Response: We receive the client_secret.

Block 3: Payment confirmation. POST to https://api.stripe.com/v1/payment_intents/{id}/confirm with the body:

payment_method_data[type]=card
payment_method_data[card][number]={{card_number}}
payment_method_data[card][exp_month]={{exp_month}}
payment_method_data[card][exp_year]={{exp_year}}
payment_method_data[card][cvc]={{cvc}}

Block 4: Parsing the response. We look for the status "successed," "requires_action" (3DS, redirect required), and "insufficient_funds" (balance low).

3.2. Variables and Data Sources​

In OB2 you can use:

• Lists: cards (number|month|year|cvv), proxies (IPORT), User-Agents.
• Functions: random selection from a list, data generation.
• Regular expressions: extract client_secret from HTML response.

Typical variable configuration:

• {card_num} — from the cards.txt list
• {exp_month} — from the list
• {exp_year} — from the list
• {cvc} — from the list
• {proxy} — from the list proxies.txt

3.3. Configuring Error Handling​

The most important block in the config is the conditions. You need to parse the JSON response and, depending on the status:

• Status succeeded: write "success" to the log, save the card to a separate file.
• insufficient_funds: write "balance is low", but the card is alive (can be used for another store).
• do_not_honor: card is dead, discard.
• authentication_required: 3DS, card not suitable for this store.
• fraudulent: the store blocked the request (most likely an IP issue).

Important: Don't set up retries (retry attempts) for the same block. Stripe remembers the Idempotency Key, and re-sending the same request won't create a new payment, but it will increase your fraud score.

3.4. Where to get ready-made configurations​

OB2/SilverBullet configs for specific stores are sold on forums (Exploit, XSS, Carder.su). Price: $10–$100 depending on complexity. Don't buy configs from strangers without testing them. First, test them on a test card with a low balance, or better yet, ask the seller for a video of the config in real time.

But the best config is one you've written yourself. You'll know every detail and be able to quickly adapt it to changes.

Part 4. Proxy Managers and Rotation: How to Avoid Burning Your Cards​

The bot sends requests dozens of times faster than a human. If you use the same proxy for 100 cards, Stripe will detect an anomaly — 100 different cards from the same IP address within 10 minutes. This will result in an instant ban.

4.1. Proxy Managers​

The built-in OB2/SilverBullet manager allows you to rotate proxies, but it's rather primitive. Advanced carders use separate programs:

• ProxyBroker is a Python script that tests proxies, checks their anonymity, and returns only working ones.
• Scrapy-proxy-middleware — for custom scripts.
• Paid services (Proxy-Seller, IPRoyal) with APIs that provide live proxies upon request.

Rotation rules:

• No more than 2-3 checks per hour per proxy.
• After each session (10-20 cards) change the proxy pool.
• Never use the same proxy for checking and for hit – this will link the activities.

4.2. How a bot burns proxies​

Cheap data center proxies (AWS, DigitalOcean) burn out after 10-20 requests. Residential proxies last longer, but if a bot sends requests with atypical headers (for example, without a User-Agent or with a broken Accept-Language), the proxy can be banned by fingerprinting.

Solution: Use a residential proxy + curl_cffi (for Python) or configure headers in OB2. OB2 allows you to set custom headers for each request. Set realistic ones: User-Agent (latest Chrome), Accept-Language, Referer, Origin, Sec-Ch-Ua.

4.3. Example of proxy pool configuration in OB2​

1. Create a text file proxies.txt in the format iport or userass@iport.
2. In the OB2 settings, select the proxy type (HTTP/HTTPS/SOCKS5).
3. Set parameters:
   • Max. uses per proxy = 3 (how many times to use a proxy before replacing it)
   • Proxy timeout = 10000 (10 seconds)
   • Retry count = 1 (no more than one retry attempt)

Check your proxy's performance with the built-in OB2 checker. Avoid proxies that crash with an error or are too slow (>1 second).

Part 5. Automation Mistakes That Kill Profits​

Here are the top 5 mistakes I see newbies make when switching to bots.

5.1. Ignoring delays (No delays)​

The bot sends requests instantly, one after another. A human doesn't do that. Stripe sees that 10 ms have passed between requests and realizes it's a bot.

Solution: In the OB2 settings, there's a "Request delay" parameter. Set a random delay between 2000 and 5000 ms. For API gateways, a shorter delay (500-1000 ms) is fine, but for browser simulations, 2-5 seconds is best.

5.2. Same headers for all requests​

You've set up one perfect header and are using it for all your cards. Stripe sees that 50 requests came in with the same set of headers — another sign of a bot.

Solution: Use the User-Agent, Accept-Language, and Referer lists. OB2 can select a random string from the list. Create the files ua.txt, lang.txt, and referer.txt and specify the {random_ua} variable in each block.

5.3. 3DS not working correctly (trying to bypass it)​

The bot receives a requires_action response but doesn't know what to do with it. The newbie ignores this field and considers the payment successful. As a result, you're wasting time on cards that will never go through.

Solution: Set up the condition so that when the requires_action status is entered, the entry is written to a separate file called "3DS cards." Such cards can only be used for non-3DS purposes.

5.4 Using a single Stripe account for bulk checks​

Stripe Radar detects that one account is receiving 100 requests to create PaymentIntents in 5 minutes. The account is blocked, and all subsequent receipts from it are marked as fraudulent.

Solution: Create several test Stripe accounts (using different email addresses and IP addresses). Use key rotation in the checker: 10 requests with the key from account A, then 10 with the key from account B.

5.5. No logging (flying blind)​

The bot has processed 100 cards, but you don't know how many were successful, how many were rejected, which cards were lost, and which are still alive. You just stare at the screen and hope.

Solution: OB2 has a built-in logger. Configure it to write results to the Results folder, broken down by status. Analyze the logs daily: which BINs are working, which proxies have failed, which errors are repeating. Without analytics, you won't improve your bot.

Part 6. Summary: Automation is not a magic wand​

Carding bots are a powerful tool, but they don't tolerate carelessness. You should approach them with the same level of preparation as you would with manual payment processing hit. If you don't know how to process a payment at a specific store manually, a bot won't be able to do it for you — it will only repeat your mistakes a hundred times faster.

When to start automating: when you've achieved a stable 70% success rate manually, and you no longer have enough time for all the cards.

Where to start: don't buy configs, but write a simple Python script (Requests / curl_cffi) for one specific purpose. Understand the logic. Then transfer it to OpenBullet.

The main mistake: thinking a bot will replace you. It only scales. If you're stupid, a bot will make you stupid a million times a second.

A quick one-line reminder:
"A bot doesn't replace your brain. First, achieve manual processing, then automate." OpenBullet 2 is for checking, SilverBullet is for HTTP/2, Sentry MBA is only for ancient purposes. Latency, proxy rotation, different headers, logging — without them, you won't even be able to handle 50 cards. And remember: Stripe sees everything — speed, headers, and idempotency keys. Don't be stupid — set it up like a human."