Back

abchina.com Domain Breach Exposure Report

Risk Score

High Risk

Massive event volume or critical assets compromised.

AI Findings Summary

Critical

The domain abchina.com has experienced a significant number of data breach events, totaling 6,293 over the observed period, which constitutes 84.2% of all recorded events. Additionally, 1,182 infostealer logs were detected, representing 15.8% of events. The timeline indicates a surge in employee and client-related events, particularly in September 2025 and January 2026, with a notable increase in client-related events in March 2026. The primary malware families associated with these events are Rhadamanthys and Redline, with targeted services including career and job-related portals. The high volume of data breaches and infostealer activity, coupled with the targeting of employee and client data, indicates a critical exposure. The prevalence of infostealer malware suggests a risk of credential harvesting and further compromise. Prioritization should focus on immediate remediation of identified vulnerabilities, enhanced monitoring of career and job-related services, and comprehensive security awareness training for employees to mitigate the risk of credential compromise and subsequent data exfiltration. The data suggests a focus on China and Malaysia, with a significant portion of compromised data originating from combolist sources and database dumps.

Total Events

7,475
credential exposure events

Employee Affected Events

3,676
account email domain = abchina.com

Client Affected Events

3,799
service target = abchina.com

Free Community Account

Stop stolen credentials from logging in

Own this domain? Create a free Lunar account to see full exposure data and evidence.

12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
3,0002,0001,0000
peak month 2,507
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events1,182
Share16%
Data breaches
Events6,293
Share84%
Infostealer logs (16%)
1,182events
Data breaches (84%)
6,293events

3,676 compromised employee accounts pose an infrastructure risk, while 3,799 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender2
360安全卫士1

Malware Families Distribution

Distribution of Active Stealer Strains

Rhadamanthys382
Redline202
LummaC2131
Acreed100
RisePro33
StealC11
Millenium10
Remus9
Vidar9

Top Login URLs

Top exposed services found in the event results

  1. 1https://career.abchina.com/build/index.html1,231
  2. 2career.abchina.com/build/index.html634
  3. 3career.abchina.com291
  4. 4https://career.abchina.com289
  5. 5https://enjoy.abchina.com/party/171
  6. 6https://e.abchina.com/jcgys/supplier/index.html158
  7. 7job.abchina.com66
  8. 8https://wx.cq.abchina.com/tuanfei/64
  9. 9https://job.abchina.com63
  10. 10abchina.com55

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.

China
Events631
Malaysia
Events119
United States
Events44
Egypt
Events29
United Kingdom
Events16
South Korea
Events8
Japan
Events6

Country Breakdown

  1. 1China631
  2. 2Malaysia119
  3. 3United States44
  4. 4Egypt29
  5. 5Hong Kong SAR China21
  6. 6United Kingdom16
  7. 7South Korea8
  8. 8Japan6

Services Classification Distribution

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

-
Total

Operating System Distribution

Distribution of compromised endpoint builds

Windows 11 (Build 26200) (64 Bit)170
Windows 11 23H2 build 22631 (64 Bit)128
Windows 11 24H2 build 26100 (64 Bit)124
Windows 11124
Windows 10 22H2 build 19045 (64 Bit)88

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
2,992
Combolist pools
3,301
Unattributed dumps

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