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unicredit.it 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 of client data, with over 152,000 client records compromised. This is primarily driven by historical data breaches (90.6%) and active infostealer logs (9.4%), affecting the domain unicredit.it. The timeline shows a surge in client data compromise starting in August 2025 and peaking in March 2026. Malware families like Redline, LummaC2, and Acreed are prevalent, suggesting active credential harvesting. The majority of affected systems are running Windows 11 and Windows 10 variants, with Italy being the primary geographic location of concern. Given the high volume of client data breaches and the presence of active infostealer activity, this exposure presents a critical risk. The focus for remediation should be on immediate incident response to contain active infostealer threats, thorough forensic analysis of historical data breaches to understand the full scope of compromised information, and enhanced security controls to prevent future credential compromise and data exfiltration. Prioritize securing client-facing services, particularly online banking portals, and strengthening endpoint security on affected Windows systems.

Total Events

154,187
credential exposure events

Employee Affected Events

1,498
account email domain = unicredit.it

Client Affected Events

152,689
service target = unicredit.it

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
50,00033,33316,6670
peak month 47,317
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events14,465
Share9%
Data breaches
Events139,722
Share91%
Infostealer logs (9%)
14,465events
Data breaches (91%)
139,722events

1,498 compromised employee accounts pose an infrastructure risk, while 152,689 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender401
Windows Defender Kaspersky Total Security21
Windows Defender Panda Dome18
Windows Defender ESET Security10
Windows Defender McAfee5
Windows Defender.2
Norton Security Ultra [OFF]1
Reason Cybersecurity1

Malware Families Distribution

Distribution of Active Stealer Strains

Redline2,261
LummaC21,820
Acreed1,707
Rhadamanthys1,123
Vidar549
Millenium270
RisePro229
Raccoon189
StealC117

Top Login URLs

Top exposed services found in the event results

  1. 1unicredit.it9,853
  2. 2https://www.unicredit.it/it/privati.html9,607
  3. 3https://www.unicredit.it7,565
  4. 4unicredit.it/it/privati.html7,480
  5. 5https://unicredit.it7,251
  6. 6https://online-retail.unicredit.it/nb/it/MiniBoxLogin.jsp6,135
  7. 7https://online-retail.unicredit.it5,970
  8. 8online-retail.unicredit.it5,463
  9. 9www.unicredit.it/it/privati.html5,003
  10. 10www.unicredit.it4,706

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.

Italy
Events7,986
United States
Events73
Egypt
Events50
France
Events39
Bangladesh
Events39
Venezuela
Events37
Mexico
Events36
Spain
Events35

Country Breakdown

  1. 1Italy7,986
  2. 2United States73
  3. 3Egypt50
  4. 4France39
  5. 5Bangladesh39
  6. 6Venezuela37
  7. 7Mexico36
  8. 8Spain35

Services Classification Distribution

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

Intranet100
Microsoft3

Operating System Distribution

Distribution of compromised endpoint builds

Windows 111,960
Windows 10 Enterprise x64853
Windows 10668
Windows 10 22H2 build 19045 (64 Bit)520
Windows 11 24H2 build 26100 (64 Bit)482

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
139,251
Combolist pools
471
Unattributed dumps

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