Check If You’re in the TXT Cloud LOGS_600PCS Telegram Breach

HEROIC analysts have tracked a stealer log collection uploaded to Telegram in November 2025 labeled "TXT Cloud - LOGS_600PCS - 01 December 2025" that exposed 21,138 records from infected endpoints in the United States. The "600PCS" designation indicates the release contained 600 individual machine logs, each harvested by infostealer malware and bundled for distribution. Exposed data includes email addresses, plaintext passwords, and the specific URLs where each victim's credentials were captured.

The cloud-formatted TXT distribution is a hallmark of organized Telegram-based stealer operations -- the files are structured to be easilly imported into credential stuffing tools, making them not just a data dump but an operational attack package. Anyone whose device was infected during the campaign window contributing to this collection had their browser's entire saved credential store silently exfiltrated and packaged for criminal use.

What Data the TXT Cloud LOGS_600PCS Breach Exposed

• Email Addresses -- Account identifiers enabling attacks across any platform using email as a login
• Plaintext Passwords -- Unencrypted passwords ready for immediate use in login attempts
• URLs -- The exact websites where credentials were stolen, mapping victims to their active services
• Endpoint Data -- Machine and connection metadata from 600 infected devices in this release

The Path From TXT Cloud LOGS_600PCS Breach to Account Fraud

TXT-formatted stealer logs are specifically designed to plug directly into credential stuffing frameworks. The moment this file was distributed on Telegram, criminal actors with automated attack tools could begin testing all 21,138 email and password combinations against high-value targets. Banks, email providers, e-commerce platforms, and corporate VPN portals are all standard targets in these automated attacks. The hit rate for credential stuffing is consistently higher when the passwords are plaintext rather than hashed, because there is no cracking delay -- the attack can begin immediately.

Beyond bulk stuffing, the URL field enables targeted identity theft. An attacker reviewing logs from infected machines can identify victims who were logged into payroll systems, tax portals, or cloud storage accounts -- credentials that are worth far more than average. These premium accounts are often sold separately on darknet markets at elevated prices, meaning the 21,138 records in this collection have multiple layers of criminal value.

Stealer Log Attacks: A Plain-English Explainer

TXT Cloud-formatted stealer logs represent the polished, weaponized end of the infostealer supply chain. The infection itself typically starts with something mundane -- a software crack download, a fake browser update, a game mod, or a phishing email attachment. The malware installs silently, runs in the backround, and methodically extracts every credential, cookie, and autofill entry stored in the browser before packaging it all into a structured text file.

The "Cloud" labeling in this collection's name refers to cloud storage delivery -- the infected machines uploaded their log files to cloud infrastructure controlled by the attacker, which were then harvested and compiled into the final dataset. This cloud-based exfiltration technique makes the malware harder to detect on corporate networks because the outbound traffic resembles legitimate cloud service usage. The 600 machine logs in this single batch represent 600 separate victims, each unaware that their entire browser credential store has been shipped to a criminal's server.

Free Check: Is Your Email in the TXT Cloud LOGS_600PCS Leak?

Check now -- before this data is used against you. HEROIC's breach scanner has cataloged over 400 billion exposed records from stealer logs, darknet marketplaces, and leaked databases worldwide. If your email address appeared in the TXT Cloud LOGS_600PCS Telegram release or any other known breach, you'll know in seconds. Run your free scan at HEROIC and get a full report on every dataset that has exposed your personal information. The sooner you know, the sooner you can take back control of your accounts.