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abc.net.au 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 affecting both employees and clients of abc.net.au, with a total of 33,103 events recorded between July 2025 and June 2026. The majority of these events (85.7%) are classified as historical data breaches, with an additional 14.3% identified as active infostealer logs. The data suggests a peak in employee-related events in January 2026 and client-related events in March 2026, with a notable concentration of affected individuals in Australia. The primary services targeted appear to be login and account management portals, indicating a potential focus on credential harvesting. The high volume of historical data breaches and active infostealer logs, coupled with the targeting of login services, presents a critical risk of further compromise and unauthorized access. The prevalence of infostealer malware families such as Rhadamanthys, Acreed, and LummaC2, which are designed to exfiltrate sensitive information, exacerbates this risk. Remediation efforts should prioritize securing authentication mechanisms, investigating the root cause of the historical data breaches, and enhancing endpoint security to detect and prevent infostealer infections. Given the nature of the targeted services and the geographic concentration, a focus on Australian user accounts and credentials is recommended.

Total Events

33,103
credential exposure events

Employee Affected Events

14,631
account email domain = abc.net.au

Client Affected Events

18,472
service target = abc.net.au

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
8,0005,3332,6670
peak month 6,300
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events4,747
Share14%
Data breaches
Events28,356
Share86%
Infostealer logs (14%)
4,747events
Data breaches (86%)
28,356events

14,631 compromised employee accounts pose an infrastructure risk, while 18,472 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender26
Avast4
Windows Defender.3
Malwarebytes2
Kaspersky2
Reason Cybersecurity1

Malware Families Distribution

Distribution of Active Stealer Strains

Rhadamanthys793
Acreed561
LummaC2502
Redline455
Vidar388
Remus50
RisePro39
Millenium39
StealC36

Top Login URLs

Top exposed services found in the event results

  1. 1https://mylogin.abc.net.au/account/index.html3,594
  2. 2mylogin.abc.net.au/account/index.html2,292
  3. 3https://mylogin.abc.net.au1,713
  4. 4mylogin.abc.net.au1,489
  5. 5https://account.abc.net.au/1,347
  6. 6https://account.abc.net.au/signup1,133
  7. 7https://account.abc.net.au567
  8. 8account.abc.net.au/526
  9. 9https://account.abc.net.au/login-email505
  10. 10account.abc.net.au464

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.

Australia
Events2,147
United States
Events143
India
Events99
United Kingdom
Events56
Canada
Events42
Philippines
Events30
France
Events29
Lithuania
Events25

Country Breakdown

  1. 1Australia2,147
  2. 2United States143
  3. 3India99
  4. 4United Kingdom56
  5. 5Canada42
  6. 6Philippines30
  7. 7France29
  8. 8Lithuania25

Services Classification Distribution

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

Microsoft17
Intranet8

Operating System Distribution

Distribution of compromised endpoint builds

Windows 11638
Windows 11 24H2 build 26100 (64 Bit)409
Windows 10 22H2 build 19045 (64 Bit)313
Windows 10 Home184
Windows 10122

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
15,972
Combolist pools
12,384
Unattributed dumps

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