The Trident_Cloud uploaded by a Telegram User Data Quietly Appeared on the Dark Web

HEROIC analysts found this data circulating on dark web markets. Leaked on 06-Apr-2026, the Trident_Cloud uploaded by a Telegram User breach exposed 21,034 records including email addresses, plaintext passwords, and URLs.

Why the Trident_Cloud uploaded by a Telegram User Breach Is Dangerous

With 21,034 records in circulation on the dark web, this dataset gives criminals a substantial collection of working credentials. Email addresses and plaintext passwords paired with specific URLs mean attackers know exactly which accounts to target. These credentials can be loaded directly into automated attack tools and used within minutes of the data reaching criminal hands.

What Was Exposed in the Trident_Cloud uploaded by a Telegram User Leak

• Email Addresses
• Plaintext Passwords
• URLs

Why This Trident_Cloud uploaded by a Telegram User Data Puts You at Risk

Plaintext passwords do not need to be cracked or decoded -- they work as-is across any site where the victim reused the same credentials. Credential stuffing attacks test each email and password pair across hundreds of platforms automatically. Successful logins give criminals access to financial accounts, email inboxes, and social media. From there, identity theft, account hijacking, and fraud follow quickly.

How Stealer Log Breaches Work

Stealer logs are produced by malware secretly installed on victims' devices. The malware records keystrokes, captures browser-saved passwords, and harvests active login sessions. The collected data is bundled into logs and distributed through dark web channels, giving criminals access to every account the infected user touched.

Check If Your Data Was Exposed

HEROIC operates one of the world's largest breach databases, covering more than 400 billion leaked records. Use HEROIC's free breach scanner to check if your email address or credentials appeared in the Trident_Cloud uploaded by a Telegram User leak or thousands of other breaches in our database.