The ATM_LOGS Stealer Log Sat Hidden Since 2024, Passwords Now Exposed

The ATM_LOGS Stealer Log: What HEROIC Analysts Found. HEROIC analysts identified a stealer log dataset labeled ATM_LOGS circulating after being uploaded by a Telegram user, tied to a leak dated June 14, 2024. The file contains 5,800 records pairing email addresses with plaintext passwords and the exact URLs of the login pages those credentials unlock. Why This Is Dangerous. Unlike a generic password list, a stealer log hands an attacker a ready-made instruction sheet. Each entry links one email address, one password, and the specific website it opens, so there is no guessing involved. Anyone who gets hold of this file can attempt to log directly into the matched accounts. What Was Exposed: Email addresses tied to individual accounts. Plaintext passwords with no encryption or hashing. The URLs of the websites those login credentials belonged to. Why This Matters. Even at 5,800 records, this data is dangerous because it is specific. If any of the affected passwords are reused on other sites, such as banking, email, or shopping accounts, attackers can use the same credentials to attempt account takeover or credential stuffing attacks elsewhere. Because the passwords were stored in plaintext, there is no encryption standing between an attacker and the original password. How Stealer Logs Work. Stealer logs come from malware that infects a victim's device, often through a malicious download or phishing link, and then quietly harvests usernames, passwords, and browser autofill data saved on that machine. The malware sends everything it captures back to the attacker, who compiles it into a log file like this one and shares or sells it, frequently through Telegram channels such as the one this file was uploaded to. Check If You're Affected. If you think your email or login details may be part of this or another leak, HEROIC's free breach scanner checks your information against a database of more than 400 billion leaked records. It takes a few seconds to see if your data has surfaced in a breach like this one.