Using Old Leaks to Farm Accounts: A Step-by-Step Guide

[Good Carder]

From a carder to carders. You're sitting on a multi-gigabyte combo sheet, but you don't know where to begin. Millions of email address records look like treasure, but 99% of them are junk. Old passwords, invalid emails, accounts that have been blocked for a long time. Your job is to turn this junk into gold. In this article, I'll show you how to work with leaks from 2018–2023, how to clean databases, how to verify validity without a checker, and how to extract 10,000 live accounts from 1 million records.

Part 1: Why Old Leaks (2018–2023) Still Work​

Many people think old leaks are useless. This is a mistake. People don't change their passwords for years. If a password was compromised in 2019, it might still work in 2026.

In 2026, a database of 149 million compromised accounts, including 48 million Gmail accounts, was leaked online. Carding forums are offering auctions for 340 million records compiled from old leaks. These aren't new hacks — they're repackaged old material.

Why old leaks are so resilient:

• Password reuse. 60% of people use the same password on multiple websites.
• Slow updates. Many users don't change their passwords for years.
• Autofill. Browsers save passwords, so users don't have to worry about changing them.
• Combo sheets are aggregated data. They've been created, cleaned, and resold for years.

Combo lists are files containing email address pairs collected from various leaks and infostealers. They differ from raw dumps in that they are already normalized and deduplicated.

Part 2. Database Clearing Methodology​

2.1. Primary filtration: debris removal​

You've received the file. The first thing you need to do is remove anything that isn't a valid emailassword pair.

Tools:

• Combo Manager is a powerful CLI tool for managing, cleaning, and organizing combo lists.
• ULP Combo Extractor is a fast parser with a Neon interface for cleaning large lists.
• BOTB is a next-generation combo cleaner that processes huge dumps and produces clean userass combos.

Manual filtering with grep (Linux/macOS):

# Remove lines without the @ symbol (non-emails)
grep '@' raw_combo.txt > filtered_1.txt

# Remove lines containing temporary email providers
grep -v -E 'mailinator|guerrillamail|10minutemail|temp-mail' filtered_1.txt > filtered_2.txt

# Remove lines with very short passwords (fewer than 4 characters)
awk -F':' 'length($2) >= 4' filtered_2.txt > filtered_3.txt

# Remove duplicates based on email address
sort -u -t':' -k1,1 filtered_3.txt > combo_cleaned.txt

2.2. Filtering by domains​

Not all emails are created equal. Priority domains:

Domain	Priority	Why
Gmail, Outlook, Yahoo	High	Mass services, many accounts
Corporate domains	Average	May be tied to work
Temporary domains	Short	Typically not used for serious services

Filtering by domains:

# Extract only Gmail addresses
grep '@gmail.com' combo_cleaned.txt > gmail_only.txt

# Extract several popular domains
grep -E '@(gmail|yahoo|outlook|hotmail|mail)\.com' combo_cleaned.txt > popular_domains.txt

2.3. Deduplication​

One email may appear multiple times with different passwords. Only the most recent or strongest versions should be retained.

Sort by leak date (if any): if the dump contains metadata about the compromise date, sort by it. If not, keep the strongest combination.

# Simple email-based deduplication (retains the last occurrence)
awk -F':' '!seen[$1]++' combo_cleaned.txt > combo_deduped.txt

Part 3. How to check a combo sheet for validity without a checker​

Don't have a checker or don't want to use one? There are ways to check validity without sending requests to target services.

3.1. SMTP email verification​

Check if a mailbox exists without sending an email.

import smtplib
import dns.resolver

def verify_email(email):
domain = email.split('@')[1]
try:
mx_records = dns.resolver.resolve(domain, 'MX')
mx = str(mx_records[0].exchange)
server = smtplib.SMTP(mx, 25)
server.helo()
server.mail('test@example.com')
code, _ = server.rcpt(email)
server.quit()
return code == 250
except:
return False

Limitations: Many email services (Gmail, Outlook) do not return an exact response to protect users from brute force attacks.

3.2. Checking via the Have I Been Pwned API​

Check if the email address has been leaked. This doesn't guarantee the password works, but it does indicate that the account exists.

import requests

def check_hibp(email):
url = f"https://haveibeenpwned.com/api/v3/breachedaccount/{email}"
headers = {"hibp-api-key": "YOUR_API_KEY"}
response = requests.get(url, headers=headers)
return response.status_code == 200

3.3. Verification via third-party services​

• Verifalia is a free email verification service that uses SMTP servers.
• DNSlytics Email Test — checks email validity.

3.4. Checking via OpenBullet (without a real killer)​

Use OpenBullet 2 with a configuration that only checks for an account on the target service, without attempting to pay. This won't trigger antifraud because you're not processing the transaction.

Part 4. Scaling: How to Turn 1 Million Rows into 10,000 Live Accounts​

4.1. Realistic figures​

Stage	Quantity	Percent
Original Combo List	1 000 000	100%
After cleaning (valid email)	500 000	50%
After deduplication	300 000	30%
After filtering by domains	150 000	15%
Live accounts on target services	10 000	1%

Result: 1 million lines → 10,000 live accounts.

4.2 Parallel Processing with OpenBullet 2​

OpenBullet 2 allows you to process millions of rows in hours.

1. Upload the cleaned combo sheet to Wordlist.
2. Set up the config for the target service (Netflix, Spotify, Amazon).
3. Set 20-50 threads.
4. Run the scan.

Key point: use residential proxies to avoid IP leakage. 1 million requests from a single IP will result in a ban.

4.3. Account Prioritization​

Not all live accounts are created equal. Sort by:

• Subscription status. Accounts with active Netflix, Spotify, and Amazon Prime subscriptions are more expensive.
• Account age. Older accounts with a history are valued higher.
• Having a linked card. Accounts with saved cards are golden.

4.4. Monetization of live accounts​

• Selling ready-made accounts. Netflix Premium — $3–5, Spotify — $2–4, Amazon Prime — $5–8.
• Account rentals. Rent them out for a month.
• Use bonuses for farming. Register on crypto exchanges using referral links.
• Subscription renewals via VCC. Use accounts with expired subscriptions and renew them.

Part 5. Common Mistakes and How to Avoid Them​

Mistake 1: Ignoring cleanup​

Symptom: You're running OpenBullet on a raw combo sheet and getting a 0.1% success rate.
Solution: Spend some time cleaning it up. Delete temporary emails, filter by domain, and remove duplicates. This will increase your success rate by 3-5x.

Mistake 2: Using a single IP for mass checking​

Symptom: Your requests are blocked after the first 100 attempts.
Solution: Use a pool of residential proxies. One IP — no more than 50-100 requests per hour.

Mistake 3. Not updating the database​

Symptom: You've been using the same combo list for years.
Solution: Combo lists become outdated. Update them every 3-6 months. Keep an eye on darknet forums for new leaks.

Mistake 4: Ignoring the leak's age​

Symptom: You're using a 2018 leak and wondering why 99% of passwords don't work.
Fix: Recent leaks (2024–2026) yield 3–5 times more live accounts than older ones.

Part 6. Leak Handling Checklist​

• Download a raw combo list from a trusted source (BreachForums, darknet trackers).
• Clean your database: remove invalid emails, temporary domains, and short passwords.
• Delete duplicates by email (leave one with the strongest password).
• Filter by domains: priority - Gmail, Outlook, Yahoo.
• Check validity through SMTP verification or third-party services.
• Run OpenBullet 2 with resident proxies and a configuration for the target service.
• Save live accounts in a separate file.
• Sort by value: active subscriptions, old accounts, linked cards.
• Monetize: sell, rent, or use to farm bonuses.
• Update your database every 3–6 months.

Summary​

Old leaks aren't junk, they're raw material. 60% of people don't change their passwords for years. A 2019 combo list could still yield 5-10% of live accounts in 2026. From 1 million rows, you'll get 10,000 working accounts. The key is to properly clean the database, filter out junk, and use residential proxies for mass scanning. Tools like Combo Manager, ULP Combo Extractor, and OpenBullet 2 automate the entire process.

A quick one-line cheat sheet:
"1 million rows → cleaning → filtering → 10,000 live accounts. 60% of people don't change their passwords. Combo Manager cleans, OpenBullet checks, residential proxies prevent detection. Old leaks aren't junk, they're gold that needs to be recycled."