Breach Intelligence Report 19 Apr 2026

The Bugatti_Cloud Stealer Log Exposed 15,399 US Accounts

HEROIC
HEROIC Threat Intelligence Team
Email Addresses Plaintext Password Urls
Stealer Logs Bugatti_Cloud Bugatti_Man 17.05.part049 uploaded by a Telegram User
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Records Exposed 15,399
Source Type Stealer log
Origin United States
Password Type plaintext

In May 2023, a threat actor operating through Telegram uploaded a stealer log file identified as Bugatti_Cloud Bugatti_Man 17.05.part049, exposing 15,399 records from endpoint devices across the United States. The data included plaintext passwords, email adresses, and URLs harvested directly from infected machines - a hallmark of credential-stealing malware campaigns targeting everyday users.


Why This Is Dangerous

Stealer logs are among the most damaging forms of credential exposure because the data is captured in real time from a victim's own device. Unlike database breaches where passwords may be hashed, stealer logs capture credentials as they are typed or autofilled - meaning the passwords are plaintext and immidiately usable by attackers. With email addresses and associated URLs also included, cybercriminals can launch highly targeted phishing attacks, account takeovers, and identity theft campaigns with minimal effort.


What Was Exposed

  • Email Addresses
  • Plaintext Passwords
  • URLs (website endpoints and API hosts)

Why This Matters

When 15,399 sets of plaintext credentials are posted to Telegram, they enter a fast-moving underground marketplace. Criminal networks redistribute this data within hours, feeding it into credential stuffing tools that automaticly test logins across hundreds of popular websites and apps. Even if you were not directly infected, attackers may already be attempting to access your accounts using recycled passwords from this or related leaks. US-based users face particular risk given the volume of high-value online accounts tied to American email addresses.


How Stealer Logs Work

Stealer log malware - sometimes called infostealers - typically arrives via phishing emails, malicious downloads, or compromised software installers. Once installed on a device, the malware silently scans for saved browser credentials, cookies, autofill data, and active session tokens. It then packages this data into a structured log file and uploads it to a remote server or Telegram channel controlled by the attacker. The Bugatti_Cloud campaign used Telegram as a distribution channel, making the stolen data available to hundreds of criminal subscribers instantly. The victims often have no idea their credentials have been stolen until their accounts are compromised.


Check If You Are Affected

HEROIC's free breach scanner checks your email against more than 400 billion exposed records - including stealer logs like this one. If your credentials appeared in the Bugatti_Cloud Bugatti_Man 17.05.part049 leak or any related data dump, you will know immediately so you can take action before attackers do. Run your free scan now and see if your data is already circulating on the dark web.

Breach Breakdown

Domain Bugatti_Cloud Bugatti_Man 17.05.part049 uploaded by a Telegram User
Leaked Data Email Addresses,Plaintext Password,URLs
Password Types plaintext
Date Leaked 19 Apr 2026
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Breach Rank #N/A by affected users
Impact Score
1
sensitivity + scale + recency
Est. Financial Impact $111.4K fraud, phishing & misuse risk
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Identity Theft Risk Score

Risk Score: 8.7/10 - Critical

Data Exposure Analysis

Passwords Critical
Financial High
Personal Medium
Social High
Security Critical

Breach Timeline Analysis

March 2024 Multiple credentials exposed in recent data breach
January 2024 Password found in dark web marketplace
December 2023 Personal information leaked in major security incident

Security Recommendations

High Priority
Password Security

Critical: Change compromised passwords immediately and enable 2FA on all accounts

Important
Financial Protection

Monitor credit reports and set up fraud alerts with major credit bureaus

Recommended
Identity Protection

Enable advanced identity monitoring and dark web surveillance