Breach Intelligence Report 26 Sep 2025

QLogs_Offical 2020PCS: 84,984 US Credentials — The Largest Batch in the QLogs Cluster

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HEROIC Threat Intelligence Team
Email Addresses Plaintext Password Urls
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Records Exposed 84,984
Source Type Stealer log
Origin Telegram
Password Type plaintext

QLogs_Offical 2020PCS: 84,984 US Credentials -- The Largest Batch in the QLogs Cluster

The QLogs_Offical Telegram stealer log channel released its 2020PCS batch on May 12, 2025, distributing 84,984 US plaintext credentials harvested from 2,020 individual log files collected two days earlier on May 10. At 84,984 records, this is the largest single release in the entire QLogs May 2025 cluster -- nearly double the next largest PSC batch and almost 20,000 records more than the largest MIX release. The naming inconsistency between "2020PCS" and the cluster's other batches (which use "PSC" or "PCS" as separate designations) may reflect a distnct collection source or simply a formatting variation within the channel's release conventions.


QLogs_Offical 2020PCS (May 2025): Stealer Log Summary

  • Records Exposed: 84,984
  • 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: 12-May-2025

Scale in Context: 84,984 Records From 2,020 Machines

With 84,984 records distributed across 2,020 log files, the 2020PCS batch averages approximately 42 credential pairs per infected endpoint -- consistent with the other QLogs PCS batches in this cluster. But the absolute scale sets this batch apart. 84,984 affected individuals represents a substancial pool of US accounts across every category of digital service: banking, healthcare portals, corporate VPNs, social media, streaming, and e-commerce. For credential stuffing operators, a single high-quality batch of this size is a workday's worth of automated account takeover attempts across potentially thousands of distinct platforms. Even a 1% success rate against 85,000 fresh plaintext credentials translates to approximately 850 newly compromised accounts.


The 2-Day Pipeline: Collection, Processing, and Release

Like the 1000 PCS batch released the same day, the 2020PCS batch moved from collection (May 10) to public Telegram distribution (May 12) in just 48 hours. For a batch of nearly 85,000 records across 2,020 log files, this is a remarkably fast procesing window. It suggests that QLogs_Offical maintains an operationally mature pipeline: automated log ingestion and normalization tools capable of processing thousands of raw stealer log files into a clean, distributable dataset within two days. The rapid release also maximizes credential freshness -- affected users had essentially no warning window between the moment their credentials were stolen and when those credentials became publicly availble to any attacker with a Telegram account.


Check If Your Data Was Exposed

HEROIC's free breach scanner searches across more than 400 billion exposed records, including recent stealer log releases like QLogs_Offical 2020PCS. If your email appears in this May 12, 2025 dataset, your plaintext password was captured from a malware-infected device and distributed to potential attackers with minimal delay. Visit HEROIC's breach scanner to check your exposure immediately.

Breach Breakdown

Domain N/A
Leaked Data Email Addresses,Plaintext Password,URLs
Password Types plaintext
Date Leaked 26 Sep 2025
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Breach Rank #4,126 by affected users
Impact Score
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Est. Financial Impact $614.9K 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

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