The URL Login Pass Part 3 Leak Contains More Records Than the Population of Houston

HEROIC analysts identified the 2.9 Million URL Login Pass Part 3 stealer log on May 23, 2026, after it was uploaded to a Telegram channel by an anonymous threat actor. The file contained 2,548,831 verified unique records, each pairing an email address with a plaintext password and the URL of the site where those credentials were captured from an infected device. This is the third known installment in a series, indicating an ongoing operation harvesting credentials at scale across multiple campaigns.

Why 2.5 Million Plaintext Passwords From This Series Create Immediate Danger

Every record in this file includes three pieces of information that together make account takeover trivial: a username, a password in plaintext with no encryption to crack, and the exact website to test. Attackers do not need additional tools or expertise. They download the file, load it into any credential stuffing tool, and run automated login attempts across every included URL. For anyone who reuses the same password on multiple sites, a single match here can cascade into access to email, banking, cloud storage, and social media simultaneously.

Part 3 in a series also signals that Parts 1 and 2 were already distributed. Affected users have likely been exposed for weeks before this installment went public.

What the 2.9 Million URL Login Pass Part 3 Log Exposed

• Email addresses from 2.5 million real user accounts
• Plaintext passwords harvested directly from infected devices
• URLs identifying the specific services and sites targeted

The URL, Login, Password format is one of the most operationally efficient structures used in credential markets. Every record is ready to deploy without any additional processing or formatting.

Why the Scale of This Dump Makes It a Systemic Risk for Account Security

With 2,548,831 records, this single Telegram upload contains more stolen logins than the entire population of Houston, Texas. At that scale, automated attacks can realistically target every major consumer platform simultaneously. Credential stuffing campaigns that use data like this cause account takeovers at banks, email providers, streaming services, and retailers. Once an email account is comprimised, attackers use it to reset passwords on every other service, creating a chain reaction of unauthorized access that can take days or weeks to fully contain.

Victims rarely know they are affected until they notice a suspicious login notification or discover an unauthorized transaction.

How Multi-Part Stealer Log Series Like This One Are Built and Distributed

A multi-part series like this one typically originates from a sustained malware campaign where an actor or group runs infostealers such as Redline, Vidar, or Raccoon across thousands of infected devices over weeks or months. Data is collected continuously and bundled into batches for distribution. Each part represents a separate release of that accumulated harvest.

Files are uploaded to Telegram channels where they are shared freely to build the distributor's reputation, or sold in private markets to buyers who use them for credential stuffing or resale. The fact that Part 3 has recieved a standalone upload suggests the earlier parts definitaly also circulated widely in underground channels before this public posting occured.

Check If Your Login Appeared in the 2.9 Million URL Login Pass Series

HEROIC's free breach scanner checks your email address against more than 400 billion indexed records, including this stealer log series. Searching takes seconds and costs nothing. If your email appears, you will see exactly which breach exposed it.

If your credentials are found, change affected passwords immediately, starting with any email or financial accounts. Enable two-factor authentication on all critical accounts. A password manager helps you maintain unique passwords for every service without the need to memorize them. Search at HEROIC now to find out whether your data is part of this or any other breach in our database.