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aweber.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 aweber.com, with 90.2% of observed events stemming from historical data breaches and 9.8% from active infostealer logs. A total of 1270 employee accounts and 92,662 client accounts are associated with these events. The timeline shows a surge in client-related events in March 2026, with employee-related events also increasing in early 2026. The primary data breach sources are identified as "Combolist sources" (99.5%). Malware families associated with the infostealer activity include LummaC2 (17.4%), Redline (14.7%), and Rhadamanthys (11.6%). Targeted services are predominantly related to aweber.com login and password reset functionalities. Given the high volume of historical data breaches and active infostealer logs targeting login and password reset pages, the priority is to investigate the root cause of these breaches and infostealer activity. Remediation should focus on strengthening authentication mechanisms, implementing robust credential stuffing defenses, and enhancing monitoring for unauthorized access attempts. The prevalence of LummaC2 and Redline suggests a need to review endpoint security and user awareness training to mitigate the risk of credential harvesting and subsequent account compromise.

Total Events

93,932
credential exposure events

Employee Affected Events

1,270
account email domain = aweber.com

Client Affected Events

92,662
service target = aweber.com

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
30,00020,00010,0000
peak month 26,947
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events9,229
Share10%
Data breaches
Events84,703
Share90%
Infostealer logs (10%)
9,229events
Data breaches (90%)
84,703events

1,270 compromised employee accounts pose an infrastructure risk, while 92,662 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender482
Windows Defender McAfee VirusScan25
McAfee VirusScan17
Windows Defender Malwarebytes13
Windows Defender Avira Security4
Norton 3602
None2

Malware Families Distribution

Distribution of Active Stealer Strains

LummaC21,603
Redline1,353
Rhadamanthys1,067
Vidar502
Acreed478
RisePro224
StealC130
X-Files115
Remus70

Top Login URLs

Top exposed services found in the event results

  1. 1aweber.com9,900
  2. 2https://www.aweber.com/reset_cust_password.htm9,258
  3. 3https://aweber.com6,905
  4. 4aweber.com/reset_cust_password.htm6,856
  5. 5https://www.aweber.com5,905
  6. 6https://www.aweber.com/login.htm5,508
  7. 7www.aweber.com4,279
  8. 8aweber.com/login.htm4,226
  9. 9www.aweber.com/reset_cust_password.htm4,085
  10. 10https://www.aweber.com/landing.htm3,797

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
Events900
India
Events502
Philippines
Events476
United Kingdom
Events283
Italy
Events275
Bangladesh
Events245
Nigeria
Events229
Kenya
Events159

Country Breakdown

  1. 1United States900
  2. 2India502
  3. 3Philippines476
  4. 4United Kingdom283
  5. 5Italy275
  6. 6Bangladesh245
  7. 7Nigeria229
  8. 8Kenya159

Services Classification Distribution

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

WordPress4

Operating System Distribution

Distribution of compromised endpoint builds

Windows 11660
Windows 10 Enterprise x64571
Windows 10 22H2 build 19045 (64 Bit)506
Windows 11 24H2 build 26100 (64 Bit)391
Windows 10 Home x64374

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
84,294
Combolist pools
409
Unattributed dumps

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