Inside KATANA_CLOUD: How Stealer Malware Harvested 2,768 Passwords

HEROIC analysts identified a stealer log file named KATANA_CLOUD FREE that was uploaded to a Telegram channel on November 27, 2023. The file contains 2,768 records pulled from infected devices, including email addresses, plaintext passwords, and the URLs of the accounts those credentials unlock.

Why This Is Dangerous

Each of these 2,768 records pairs a plaintext password directly with the email address and web address it belongs to. There is no encryption to break and no cracking required. Anyone who obtains this file can log straight into the affected accounts, which is exactly what makes stealer malware so effective compared to other attack methods.

What Was Exposed in the KATANA_CLOUD Log

• Email addresses
• Plaintext passwords
• URLs of the associated accounts and services

Why This Matters

With 2,768 plaintext password and email pairs now exposed, anyone who reused one of these passwords elsewhere becomes a target for credential stuffing against banking, email, or shopping accounts. That kind of overlap is often all it takes to lead to account takeover, identity theft, or financial fraud.

Inside a Stealer Log: How KATANA_CLOUD Harvested These Passwords

A stealer log is the output of malware built to quietly run on an infected device and harvest whatever credentials it can find. Once installed, it scans the browser for saved passwords, autofill entries, and the exact web address tied to each login, then compiles everything into a single file. That file gets sent back to whoever controls the malware, and from there it is often packaged and shared on Telegram channels, exactly where HEROIC analysts found this KATANA_CLOUD file on November 27, 2023. Unlike a database breach that exposes hashed passwords, a stealer log hands over credentials in the same plaintext form the victim typed them.

Check If You Are Affected

If you think your email or password could be part of the KATANA_CLOUD leak or any other breach, HEROIC's free breach scanner checks your information against a database of more than 400 billion leaked records. Run a scan to see whether your credentials have been exposed.