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putlocker.is Domain Breach Exposure Report

Risk Score

Medium Risk

Moderate exposure in standard leak repositories.

AI Findings Summary

Elevated

The domain putlocker.is has been associated with a significant number of historical data breaches (36 events) and active infostealer logs (14 events) over the past year. The data breaches are primarily linked to combolist sources, indicating potential credential stuffing or account takeover risks. The infostealer activity involves multiple malware families, including Rhadamanthys, LummaC2, StealC, Redline, RisePro, and Remus, which are commonly used to exfiltrate sensitive information from compromised systems. The majority of affected operating systems are Windows 10 variants, suggesting a focus on desktop user environments. The timeline indicates a peak in client-related events in September 2025 and a sustained period of client exposure from November 2025 through June 2026, with a single employee-related event in September 2025. Given the high volume of data breaches and the presence of active infostealer malware targeting common operating systems, this exposure presents a moderate to high risk. The primary concern is the potential compromise of user credentials and sensitive data, which could lead to further downstream attacks, financial fraud, or identity theft. Remediation efforts should focus on enhancing credential security, implementing robust endpoint protection to detect and block infostealer malware, and monitoring for any signs of account compromise originating from or targeting the identified user base. The prevalence of Windows 10 suggests that user education on phishing and malware awareness would also be beneficial.

Total Events

50
credential exposure events

Employee Affected Events

1
account email domain = putlocker.is

Client Affected Events

49
service target = putlocker.is

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12-Month Events Timeline

Event volume by breach date, employee VS client

EmployeesClients
12840
peak month 11
Jul 25Sep 25Nov 25Jan 26Mar 26May 26Jun 26

Infostealers VS Data Breaches

Live stealer logs VS data breaches

Infostealer logs
Events14
Share28%
Data breaches
Events36
Share72%
Infostealer logs (28%)
14events
Data breaches (72%)
36events

1 compromised employee accounts pose an infrastructure risk, while 49 leaked client credentials create regulatory liability.

Antivirus Distribution

Security Tools on Infected Endpoints

No Data Available

Malware Families Distribution

Distribution of Active Stealer Strains

Rhadamanthys3
LummaC23
StealC2
Redline2
RisePro2
Remus1

Top Login URLs

Top exposed services found in the event results

  1. 1http://putlocker.is/watch-supernatural-tvshow-season-11-episode-2-online-free-putlocker.html11
  2. 2putlocker.is5
  3. 3https://putlocker.is4
  4. 4putlocker.is/4
  5. 5http://putlocker.is/4
  6. 6http://putlocker.is3
  7. 7putlocker.is/watch-supernatural-tvshow-season-11-episode-2-online-free-putlocker.html3
  8. 8http://putlocker.is/cgi-bin/authme2
  9. 9putlocker.is/watch-miracles-from-heaven-online-free-putlocker.html2
  10. 10https://putlocker.is/watch-supernatural-tvshow-season-11-episode-2-online-free-putlocker.html2

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.

South Africa
Events6
Morocco
Events2
Ireland
Events1
United Kingdom
Events1
Spain
Events1

Country Breakdown

  1. 1South Africa6
  2. 2Morocco2
  3. 3Ireland1
  4. 4United Kingdom1
  5. 5Spain1

Services Classification Distribution

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

-
Total

Operating System Distribution

Distribution of compromised endpoint builds

Windows 10 22H2 build 19045 (64 Bit)7
Windows 10 Home [x64]2
Windows 10 Pro1
Windows 10 Home1

Leak Repository Classification

Where the exposed records currently reside

0
Named breaches
36
Combolist pools
0
Unattributed dumps

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