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fluor.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 affecting Fluor.com, with 74,483 historical data breaches and 1,916 active infostealer logs observed between July 2025 and June 2026. The majority of these events are linked to infostealer malware, primarily Redline, which targets employee credentials. The data suggests a broad impact, with 74,707 employee-related events and 1,692 client-related events, indicating potential compromise of sensitive information and operational disruption. The prevalence of "Combolist sources" and "Database dumps" in leak repositories further suggests that compromised credentials may have been aggregated and sold on the dark web, increasing the risk of further unauthorized access. Given the high volume of data breaches and the active presence of infostealers, this situation warrants immediate attention. The focus should be on identifying the root cause of these breaches, particularly the exploitation of Redline malware, and implementing robust credential hygiene measures. This includes mandatory password resets, multi-factor authentication enforcement for all employee and client access, and enhanced monitoring for suspicious login activity. Prioritizing the remediation of vulnerabilities exploited by Redline and securing exposed data should be the primary focus to mitigate further damage and prevent future incidents.

Total Events

76,399
credential exposure events

Employee Affected Events

74,707
account email domain = fluor.com

Client Affected Events

1,692
service target = fluor.com

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
30,00020,00010,0000
peak month 26,666
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events1,916
Share3%
Data breaches
Events74,483
Share98%
Infostealer logs (3%)
1,916events
Data breaches (98%)
74,483events

74,707 compromised employee accounts pose an infrastructure risk, while 1,692 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender8
Bitdefender1
Avira1
Kaspersky1

Malware Families Distribution

Distribution of Active Stealer Strains

Redline1,772
Vidar18
LummaC217
Acreed10
Rhadamanthys6
Aurora2
StealC1
Raccoon1
Remus1

Top Login URLs

Top exposed services found in the event results

  1. 1fluor.com1,309
  2. 2all-jobs.fluor.com18
  3. 3https://careers.fluor.com/candidate/login17
  4. 4https://careers.fluor.com/careers/job/109954988204415
  5. 5https://craftjobs.fluor.com15
  6. 6Fluor.com15
  7. 7craftjobs.fluor.com13
  8. 8https://all-jobs.fluor.com13
  9. 9https://careers.fluor.com/careers/job12
  10. 10https://fggsupplierregistry.fluor.com/Account/Login9

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
Events441
Netherlands
Events415
Germany
Events391
Denmark
Events155
United Kingdom
Events45
France
Events44
Romania
Events27

Country Breakdown

  1. 1United States441
  2. 2Netherlands415
  3. 3Germany391
  4. 4Denmark155
  5. 5United Kingdom45
  6. 6France44
  7. 7Luxembourg32
  8. 8Romania27

Services Classification Distribution

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

Citrix61
Pulse Secure21
FortiNet VPN18
Cisco (AnyConnect)18
Git12
Microsoft8
Jira (Atlassian)2

Operating System Distribution

Distribution of compromised endpoint builds

Windows 10 Home x32153
Windows Server 2012 x32142
Windows Server 2003 R2 x32139
Windows Server 2008 x32138
Windows Vista x32130

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
42,770
Combolist pools
31,713
Unattributed dumps

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