Breach Intelligence Report 22 Sep 2025

Monster Cloud Free 48 Stealer Log: 24,516 US Credentials Exposed October 2023

HEROIC
HEROIC Threat Intelligence Team
Email Addresses Plaintext Password Urls
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Records Exposed 24,516
Source Type Stealer log
Origin Telegram
Password Type plaintext

Monster Cloud Free 48: Second-Largest Confirmed October 7 Batch

Among the 18 confirmed Monster Cloud batches from October 7, 2023, Free 48 stands at 24,516 records -- the second-largest single release from that day, behind only Free 52 (27,938). Like much of Monster Cloud's October 7 catalog, Free 48's numeric position offers no hint of its actual scale. It sits between Free 47 (11,192 records, sub-mid-range) and Free 50 (20,156 records, large tier) in the batch numbering sequence. The three consecutive numbers span a 13,000-record range from 11,192 to 24,516. No pattern in the numbers predicts the pattern in the data. Each batch is its own universe.


Monster Cloud Free 48 (October 2023): Stealer Log Summary

  • Records Exposed: 24,516
  • Data Types: Email addresses, plaintext passwords, URLs
  • Breach Type: Stealer log -- credentials harvested from malware-infected endpoints, not a direct database breach
  • Password Type: Plaintext -- captured directly from browser sessions and credential stores by infostealer malware
  • Country: United States
  • Date Leaked: October 7, 2023

24,516 Records and the Super-Large Tier

Monster Cloud's October 7 batches span a wide range, but two exceed 24,000 records: Free 48 (24,516) and Free 52 (27,938). These two form a super-large subgroup within the already high-volume large-tier cluster. Both sit well above the next-highest confirmed batches (Free 36 at 23,030, Free 37 at 21,888). What drives the higher yields in these two batches specifically? Possible explanations: a particularly high-density endpoint pool, a different malware variant that captures more credentials per infection, or a geographic region or user demographic with higher average saved-credential counts. The super-large tier batches represent the ceiling of Monster Cloud's October 7 output -- and Free 48 is the second-highest point on that ceiling.


18 Batches, 314,074 Records: October 7's Confirmed Monster Cloud Scale

With 18 confirmed October 7 Monster Cloud batches totaling 314,074 records, the day's output represents the largest confirmed single-operator single-day stealer log release in this dataset. Across three days (October 7, 8, and 9), Monster Cloud's confirmed total stands at 419,836 records. This figure -- without any of the still-unconfirmed batch numbers -- positions Monster Cloud as one of the highest-volume credential distribution operations documented from the 2023 underground Telegram market. The actual total, accounting for unconfirmed batches, likely falls between 450,000 and 600,000 US credentials in the complete Monster Cloud catalog.


Plaintext at 24,516 Records: Attack Potential at Scale

Free 48's 24,516 plaintext credentials represent one of the larger individual attack datasets from October 7. For credential stuffing operators, 24,516 is enough material for sustained multi-week campaigns across banking, social media, and e-commerce platforms simultaneously. The plaintext format eliminates any preparation time -- download, configure attack tool, deploy. At this volume, even if only 1% of credentials result in successful account takeovers, that's 245 compromised accounts from a single batch. At typical credential stuffing success rates of 1-5%, the actual account takeover potential from Free 48 alone is significiant.


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Breach Breakdown

Domain N/A
Leaked Data Email Addresses,Plaintext Password,URLs
Password Types plaintext
Date Leaked 22 Sep 2025
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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

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