Security Scan Report: pm2024.pages.dev

Redirected to: https://pm2024.pages.dev/

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Submitted: Dec 10, 2025, 8:54:28 AMCompleted: Dec 10, 2025, 8:56:57 AMpubliccompleted
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Summary

This website contacted 22 IPs in 2 countries across 6 domains to perform 69 HTTP transactions. The main domain is pm2024.pages.dev.

Submitted URL: http://pm2024.pages.dev/

Effective URL: https://pm2024.pages.dev/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Impersonates WTO on a new, unranked domain; classified as a confirmed phishing scam.

Risk Factors
Brand impersonation on a newly registered, unranked domain
New domain (<90 days) mimicking a well‑known organization
Lack of legitimate brand verification (final URL does not belong to WTO)
Domain age information unavailable

Details

Page Title

World Trade Organization - Home page - Global trade

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(29%)

Domain Information

Domain 'pm2024.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'pm2024'. Its registrable label 'pages' stretches across 5 characters split between two vowels and three consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://pm2024.pages.dev/

Page Load Overview

21.51s
Total Load Time
69
HTTP Requests
6
Domains
762 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,843 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service29% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
29%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.3United States
AS13335CLOUDFLARENET
3216.239.32.36United States
AS15169GOOGLE
3188.114.97.3United States
AS13335CLOUDFLARENET
3151.101.65.229San Francisco, California, United States
AS54113FASTLY
3104.16.80.73United States
AS13335CLOUDFLARENET
3185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3216.239.34.36United States
AS15169GOOGLE
3142.251.140.168United States
AS15169GOOGLE
32400:52e0:1e00:2::1332:1Germany
AS60068Datacamp Limited
32a06:98c1:3121::3United States
AS13335CLOUDFLARENET
6922--

Detected Technologies4

JQueryv1.11.2
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4139611ACF4912B422650C46B66BB0DEBA1E457811DCD18B3EC4F851FC6E8ACE27F9D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ElAdM8f8xAaT7lE+18FGE9pLr62wn2PVJx/jY:IAdM8Ux5KBG+Lr62wngJx/jY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45128:bJBE2lJQJKAigCAgaCAAxJDYhgQBQBEidOikeUwEIMTkGGw2kmGCigRDlvNQBrSSGipgCpSJJVgIgYSFJIhCAUZAwNDABAhA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:7fff7f3f1f1f1f7f
Perceptual Hash:9ce3e31ce307f01c
Difference Hash:c0e0c0f034b4b4e0
Wavelet Hash:3e3e3e1e0e0e0e1e
Color Hash:#7753ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data