Identity Theft Risk Grows: the ‘1.6M URL Login Pass’ Leak Hits 575,822

The '1.6 Million URL Login Pass' Combolist Confirmed at 575,822 Records

In May 2026, HEROIC analysts identified a combolist file labeled 1.6 Million URL Login Pass circulating on Telegram. While the file's name advertises 1.6 million entries, HEROIC's analysis confirmed 575,822 verified records, each containing an email address, a plaintext password, and the URL the credentials were tied to.

Why This Is Dangerous

Even at the confirmed count, this is still a large batch of working credentials. Because the passwords are stored in plaintext, an attacker can copy any of the 575,822 email and password pairs and attempt to log in immediately, without needing to crack or guess anything.

What Was Exposed

• Email addresses
• Plaintext passwords
• URLs tied to each login

Why This Matters

With more than half a million confirmed logins in circulation, attackers have plenty of material to run credential stuffing campaigns against banking sites, email providers, and social media platforms. For anyone whose credentials appear in this file, identity theft becomes significantly easier if that same password was reused anywhere else, opening the door to account takeover and financial fraud.

How Inflated Combolist Names Like This One Work

Sellers on Telegram sometimes label their files with an inflated number to attract more buyers, even when the actual verified record count is lower once duplicates and invalid entries are removed. Regardless of the number in the file name, the real risk comes from the records that are confirmed working, and in this case that is still well over half a million email and password pairs.

Check If You Are Affected

With hundreds of thousands of confirmed records in this leak, checking your exposure is worth doing right away. HEROIC's free breach scanner searches more than 400 billion leaked records, including combolists like this one, so you can see if your information was included and update your password before someone else logs in first.