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navient.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 navient.com, with 85.3% of observed events being historical data breaches and 14.7% being active infostealer logs. The data suggests a widespread compromise affecting approximately 80,040 clients and 4,344 employees over the period from July 2025 to June 2026. Malware families such as Rhadamanthys, Redline, and LummaC2 are frequently observed, indicating active credential harvesting and data exfiltration activities. The primary source of leaked data appears to be combolist sources, suggesting compromised credentials are being widely distributed. Given the high volume of data breaches and active infostealer logs, this situation presents a critical risk. The prevalence of infostealer malware targeting client and employee credentials, particularly through login portals like login2.navient.com, necessitates immediate investigation and remediation. Prioritize the identification and revocation of compromised credentials, enhance authentication mechanisms, and conduct thorough security audits of affected systems to prevent further data loss and unauthorized access.

Total Events

84,384
credential exposure events

Employee Affected Events

4,344
account email domain = navient.com

Client Affected Events

80,040
service target = navient.com

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
25,00016,6678,3330
peak month 21,044
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events12,421
Share15%
Data breaches
Events71,963
Share85%
Infostealer logs (15%)
12,421events
Data breaches (85%)
71,963events

4,344 compromised employee accounts pose an infrastructure risk, while 80,040 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender227
McAfee81
Windows Defender Norton 360 for Gamers8
McAfee VirusScan8
Windows Defender.6
AVG Antivirus4
Avast Norton4
Windows Defender AVG Antivirus.4
Windows Defender McAfee3

Malware Families Distribution

Distribution of Active Stealer Strains

Rhadamanthys1,975
Redline1,619
LummaC21,424
Acreed1,043
Vidar606
X-Files551
Millenium163
Blank Grabber108
RisePro49

Top Login URLs

Top exposed services found in the event results

  1. 1https://login2.navient.com/CALM2/login.do8,859
  2. 2https://login2.navient.com6,557
  3. 3login2.navient.com6,132
  4. 4login2.navient.com/CALM2/login.do5,426
  5. 5https://authenticate2.navient.com/CALM2/login.do3,934
  6. 6login2.navient.com/calm2/login.do3,055
  7. 7https://login2.navient.com/calm2/login.do2,878
  8. 8https://navient.com/1,955
  9. 9https://login.navient.com/CALM/login.do1,922
  10. 10authenticate2.navient.com/CALM2/login.do1,844

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
Events6,581
India
Events72
Canada
Events63
Venezuela
Events52
Germany
Events51
Puerto Rico
Events46
Tanzania
Events36
Philippines
Events34

Country Breakdown

  1. 1United States6,581
  2. 2India72
  3. 3Canada63
  4. 4Venezuela52
  5. 5Germany51
  6. 6Puerto Rico46
  7. 7Tanzania36
  8. 8Philippines34

Services Classification Distribution

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

Microsoft54
Citrix42
Okta4
WordPress1

Operating System Distribution

Distribution of compromised endpoint builds

Windows 111,512
Windows 11 24H2 build 26100 (64 Bit)1,238
Windows 10 Home x641,121
Windows 10 22H2 build 19045 (64 Bit)506
Windows 10 Enterprise x64459

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
67,832
Combolist pools
4,131
Unattributed dumps

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