Breach Intelligence Report 13 Jul 2026

Inside the Hotmail Hits by Mega Logs: 3,719 Passwords Taken

HEROIC
HEROIC Threat Intelligence Team
Email Addresses Plaintext Password Urls
Stealer Logs 3.7 K HOTMAIL HITS BY MEGA 18.11 uploaded by a Telegram User
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Records Exposed 3,719
Source Type Stealer log
Origin United States
Password Type plaintext

HEROIC's DarkHive threat intelligence platform analyzed a stealer log archive titled "3.7K Hotmail Hits by Mega" that appeared on Telegram in November 2024. The dataset contains 3,719 compromised credential records targeting Hotmail users. Each record includes an email address, its corresponding plaintext password, and the URL of the service where the credential was captured. The "Hits by Mega" designation suggests these credentials were validated using automated checking tools.


The Technical Impact of Plaintext Password Exposure

From a security standpoint, plaintext credential exposure represents the most critical form of data leak. Each of the 3,719 passwords in this file is stored in its original, human-readable format. No cryptographic protections were applied, meaning there is no bcrypt, SHA-256, or any other hash function standing between the attacker and full account access. The credentials can be programmatically loaded into attack frameworks and tested against target services at machine speed.


What Was Exposed

  • Email Addresses — Hotmail accounts integrated with Microsoft's ecosystem and third-party platforms
  • Plaintext Passwords — captured in cleartext by malware before any encryption could apply
  • URLs — documenting the specific endpoints where each login was intercepted

Automated Credential Validation and Stuffing

The "Hits" label on this dump indicates the credentials underwent automated validation — bots tested each email-password combination against Hotmail's login servers and confirmed they worked. This pre-validation makes the dataset especially valuable to attackers, as every entry represents a confirmed entry point. From there, credential stuffing tools test the same pairs against Microsoft 365, Outlook, OneDrive, Xbox, and hundreds of non-Microsoft services where users may have reused their Hotmail password.


Dissecting the Infostealer Collection Process

The technical pipeline behind these stealer logs begins with malware infection. Infostealers like Lumma, Vidar, and StealC hook into browser APIs to intercept credential storage calls and decrypt locally saved passwords. They also capture HTTP POST data during active login sessions, clipboard contents, and browser cookies that maintain authenticated sessions. The extracted data is structured into JSON or text-based log files, tagged with metadata such as the victim's IP address and operating system, then uploaded to Telegram bots or cloud storage services like MEGA for distribution.


Check If Your Credentials Were Exposed

HEROIC tracks over 400 billion compromised records across its breach intelligence database, including stealer log dumps distributed through Telegram and dark web forums. Enter your Hotmail address or any email into HEROIC's free breach scanner to check for exposure in the 3.7K Hotmail Hits by Mega dump and thousands of other indexed breaches. Proactive detection remains the most effective defense against credential-based attacks.

Breach Breakdown

Domain 3.7 K HOTMAIL HITS BY MEGA 18.11 uploaded by a Telegram User
Leaked Data Email Addresses,Plaintext Password,URLs
Password Types plaintext
Date Leaked 13 Jul 2026
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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

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

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