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leidos.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 leidos.com, with a risk score of 100. The primary concern stems from 71,458 historical data breaches, representing 97.2% of all events, and 2,022 active infostealer logs, accounting for 2.8%. A substantial number of employee (70,184) and client (3,296) credentials appear to be compromised. The timeline shows a surge in employee-related events in January 2026, with a subsequent increase in client-related events from March to June 2026. Malware analysis reveals Redline as the dominant family (88.2%), followed by Acreed (3%). Targeted services include leidos.com and various portal login pages, with the United States being the most represented country in the breakdown. The data originates from combolist sources (51.9%) and database dumps (48.1%). Given the high volume of data breaches and active infostealer logs, coupled with the compromise of employee and client credentials, this situation presents a critical risk. The prevalence of Redline infostealer suggests a focus on credential harvesting. Prioritization should be placed on immediate credential rotation for all affected employees and clients, a thorough investigation into the root cause of the data breaches, and enhanced monitoring of targeted services for any further malicious activity. Remediation efforts should focus on securing exposed endpoints and strengthening access controls.

Total Events

73,480
credential exposure events

Employee Affected Events

70,184
account email domain = leidos.com

Client Affected Events

3,296
service target = leidos.com

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
40,00026,66713,3330
peak month 35,429
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events2,022
Share3%
Data breaches
Events71,458
Share97%
Infostealer logs (3%)
2,022events
Data breaches (97%)
71,458events

70,184 compromised employee accounts pose an infrastructure risk, while 3,296 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Kaspersky1

Malware Families Distribution

Distribution of Active Stealer Strains

Redline1,783
Acreed61
LummaC233
Rhadamanthys26
RisePro22
Vidar19
Remus10
Raccoon4
Aurora1

Top Login URLs

Top exposed services found in the event results

  1. 1leidos.com724
  2. 2portal-sts.leidos.com/my.policy120
  3. 3https://portal-sts.leidos.com/my.policy116
  4. 4https://te.leidos.com/cpweb/cploginform.htm92
  5. 5te.leidos.com85
  6. 6te.leidos.com/cpweb/cploginform.htm84
  7. 7https://te.leidos.com83
  8. 8https://portal-sts.leidos.com81
  9. 9portal-sts.leidos.com72
  10. 10https://webmail.leidos.com/owa/auth/logon.aspx54

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
Events565
Netherlands
Events410
Germany
Events383
Denmark
Events153
France
Events55
United Kingdom
Events38
Sweden
Events30

Country Breakdown

  1. 1United States565
  2. 2Netherlands410
  3. 3Germany383
  4. 4Denmark153
  5. 5France55
  6. 6United Kingdom38
  7. 7Sweden30
  8. 8Luxembourg28

Services Classification Distribution

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

F5287
Citrix49
Pulse Secure22
Git19
Microsoft14
FortiNet VPN10
WordPress8

Operating System Distribution

Distribution of compromised endpoint builds

Windows Server 2008 R2 x32133
Windows Server 2003 R2 x32131
Windows 8.1 x32129
Windows 10 Enterprise x32128
Windows 8 x32127

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
37,080
Combolist pools
34,378
Unattributed dumps

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