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hulu.jp Domain Breach Exposure Report

Risk Score

High Risk

Massive event volume or critical assets compromised.

AI Findings Summary

Critical

The domain hulu.jp has experienced a high-risk score of 90, primarily driven by a significant volume of historical data breaches (28,214 events) and active infostealer logs (4,951 events) over the period of July 2025 to June 2026. The majority of these events are linked to client-side exposures, with no employee-related incidents detected. The data breaches are predominantly sourced from combolist repositories, suggesting credential stuffing or account takeover attempts. Malware families such as Rhadamanthys, LummaC2, and Redline are frequently observed, indicating active exploitation and data exfiltration activities targeting client credentials, particularly for login and signup services associated with hulu.jp. Given the high number of data breaches and infostealer activity, the priority for remediation should focus on strengthening authentication mechanisms, such as implementing multi-factor authentication (MFA) for all client accounts, and enhancing monitoring for credential stuffing attacks. A thorough review of the security posture of client-facing services, especially login and signup portals, is crucial. The prevalence of infostealer malware also necessitates user education on phishing and malware risks, alongside endpoint security improvements to detect and prevent the execution of these threats.

Total Events

33,165
credential exposure events

Employee Affected Events

0
account email domain = hulu.jp

Client Affected Events

33,165
service target = hulu.jp

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
10,0006,6673,3330
peak month 8,597
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events4,951
Share15%
Data breaches
Events28,214
Share85%
Infostealer logs (15%)
4,951events
Data breaches (85%)
28,214events

0 compromised employee accounts pose an infrastructure risk, while 33,165 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

Windows Defender118
Windows Defender McAfee12
Windows Defender マカフィー ウイルススキャン11
Windows Defender.2
Avast2
Windows Defender ノートン 360 for Gamers2
Windows Defender ウイルスバスター クラウド1
KINGSOFT Internet Security リアルタイムガード1
Windows Defender マカフィー ウイルススキャン ESET Security1

Malware Families Distribution

Distribution of Active Stealer Strains

Rhadamanthys711
LummaC2603
Redline581
Acreed398
Vidar339
Remus107
Raccoon82
Millenium71
StealC46

Top Login URLs

Top exposed services found in the event results

  1. 1https://id.hulu.jp/account/login5,206
  2. 2id.hulu.jp/account/login3,171
  3. 3https://id.hulu.jp2,862
  4. 4id.hulu.jp2,456
  5. 5https://id.hulu.jp/signup/form2,292
  6. 6id.hulu.jp/signup/form1,402
  7. 7hulu.jp1,258
  8. 8https://secure.hulu.jp/signup989
  9. 9https://hulu.jp909
  10. 10hulu.jp/840

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.

Japan
Events2,715
United States
Events38
Venezuela
Events12
Mongolia
Events10
Philippines
Events9
Spain
Events8
India
Events7

Country Breakdown

  1. 1Japan2,715
  2. 2United States38
  3. 3Côte d’Ivoire22
  4. 4Venezuela12
  5. 5Mongolia10
  6. 6Philippines9
  7. 7Spain8
  8. 8India7

Services Classification Distribution

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

-
Total

Operating System Distribution

Distribution of compromised endpoint builds

Windows 11482
Windows 11 24H2 build 26100 (64 Bit)308
Windows 11 Pro229
Windows 10 22H2 build 19045 (64 Bit)219
Windows 10 Home x64195

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
28,199
Combolist pools
15
Unattributed dumps

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