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bjs.com Domain Breach Exposure Report

Risk Score

High Risk

Massive event volume or critical assets compromised.

AI Findings Summary

Critical

The telemetry indicates a significant exposure event impacting bjs.com, with a total of 80,734 events recorded over the period from July 2025 to June 2026. The majority of these events, 71,802 (88.9%), are classified as historical data breaches, while 8,932 (11.1%) are active infostealer logs. The timeline shows a sharp increase in employee-related events in January 2026, with 9,757 occurrences, and a substantial rise in client-related events in March 2026, reaching 20,189. The primary sources of these exposures appear to be combolist sources (84.6%) and database dumps (15.4%). Malware families such as Rhadamanthys, LummaC2, and Redline are prominently featured. Given the high volume of historical data breaches and active infostealer logs, coupled with the targeting of services like bjs.com and its sign-in pages, the risk to bjs.com is critical. The prevalence of combolist sources suggests credential stuffing attacks may be a primary vector. Remediation efforts should focus on immediate credential reset for all employees and clients, enhanced monitoring for suspicious login activity, and a thorough review of data security practices, particularly concerning database integrity and the protection of credentials against credential stuffing and infostealer malware.

Total Events

80,734
credential exposure events

Employee Affected Events

12,086
account email domain = bjs.com

Client Affected Events

68,648
service target = bjs.com

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
25,00016,6678,3330
peak month 20,189
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events8,932
Share11%
Data breaches
Events71,802
Share89%
Infostealer logs (11%)
8,932events
Data breaches (89%)
71,802events

12,086 compromised employee accounts pose an infrastructure risk, while 68,648 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender178
Windows Defender Advanced SystemCare Ultimate18
Avast Antivirus11
Windows Defender.9
Windows Defender McAfee2
Windows Defender Kaspersky.1
Malwarebytes1
Avast AVG1
Security Suite by F-Secure [OFF]1

Malware Families Distribution

Distribution of Active Stealer Strains

Rhadamanthys1,455
LummaC21,175
Redline1,022
Acreed698
Vidar521
Millenium171
X-Files159
RisePro64
Remus63

Top Login URLs

Top exposed services found in the event results

  1. 1bjs.com7,303
  2. 2https://www.bjs.com/signIn5,616
  3. 3https://bjs.com5,228
  4. 4https://www.bjs.com4,831
  5. 5www.bjs.com3,294
  6. 6bjs.com/signIn3,069
  7. 7https://www.bjs.com/2,276
  8. 8www.bjs.com/signIn2,142
  9. 9bjs.com/signin1,653
  10. 10https://www.bjs.com/createMembershipAccount1,559

Infostealer By Geography

Shows the distribution of Infostealer-related credential exposure events across different geographic regions. The location is determined by analyzing the metadata of the infected machines associated with each event.

United States
Events4,549
India
Events111
Pakistan
Events107
Algeria
Events81
Nigeria
Events48
Venezuela
Events34
Canada
Events32
Brazil
Events31

Country Breakdown

  1. 1United States4,549
  2. 2India111
  3. 3Pakistan107
  4. 4Algeria81
  5. 5Nigeria48
  6. 6Venezuela34
  7. 7Canada32
  8. 8Brazil31

Services Classification Distribution

Blast radius - closer to core = more critical infrastructure, size = credential volume

Microsoft80
Okta34
Pulse Secure19
Zendesk12
Jira (Atlassian)8

Operating System Distribution

Distribution of compromised endpoint builds

Windows 111,001
Windows 11 24H2 build 26100 (64 Bit)767
Windows 10 Home x64429
Windows 10 22H2 build 19045 (64 Bit)355
Windows 10 Enterprise x64325

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
60,780
Combolist pools
11,022
Unattributed dumps

Disclaimer: This report includes AI-generated content. AI can make mistakes, so verify important findings independently before taking action.