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Security Scan Report: henrylmcgillivray.pages.dev

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Submitted: Nov 23, 2025, 10:50:46 PMCompleted: Nov 23, 2025, 10:52:54 PMpubliccompleted
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Summary

This website contacted 47 IPs in 3 countries across 16 domains to perform 43 HTTP transactions. The main domain is henrylmcgillivray.pages.dev.

Submitted URL: https://henrylmcgillivray.pages.dev/ikbim-social-security-benefit-payments-2025-changes-onyka/

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

Impersonates Walmart on a newly created, unranked domain – high‑risk phishing site.

Risk Factors
Brand impersonation/typosquatting (Walmart) on a non‑official domain
Domain is unranked in Cisco Umbrella (not in top 1 M)
Domain appears to be newly registered/very new
Domain age information unavailable

Details

Page Title

Social Security Benefit Payments 2025 Changes - Henry L. McGillivray

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(45%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'henrylmcgillivray.pages.dev' is registered, featuring subdomain 'henrylmcgillivray'. The core label 'pages' covers 5 characters split between 2 vowels and 3 consonants. Segmentation suggests one word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://henrylmcgillivray.pages.dev/ikbim-social-security-benefit-payments-2025-changes-onyka/

Page Load Overview

1.17s
Total Load Time
43
HTTP Requests
16
Domains
763 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-US
Text Length:3,627 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
45%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23188.114.97.3United States
AS13335CLOUDFLARENET
4172.67.212.207United States
AS13335CLOUDFLARENET
2104.26.5.18United States
AS13335CLOUDFLARENET
2142.250.185.202United States
AS15169GOOGLE
2172.66.134.99United States
AS13335CLOUDFLARENET
146.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
1172.67.75.176United States
AS13335CLOUDFLARENET
1142.250.181.225United States
AS15169GOOGLE
1188.114.96.3United States
AS13335CLOUDFLARENET
1150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4347--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E613083261D9107B3A4FA3D8E171B31EA6AAD930CB034B6A72F870549F80DB645B751F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Rml7dl7Xl7Gl7skZdapzpXTQZqxuKfmq9sl7xqDPkZkfftJxYR2K:Rml7dl7Xl7Gl7skapNTQ8xuKfmcsl7aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44910:sDIACAmgAABCzBlMIUsUKAKUaGCMEYgIEcCYSrCAADHnIoBjWMhkMgAgQNwvEQE0QIsdlwohCsA1GBAIRAEIhIEzqFJaCBok

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:ffffffff87878383
Perceptual Hash:bec13e30cf4c6b30
Difference Hash:27364b3b1e3f3f2f
Wavelet Hash:93fff98183838383
Color Hash:#8b79d2

Other Hashes

Crop Resistant:27364b3b1e3f3f2f,98e2cd33ea3971f6

Scan History

Scan history not available

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