Security Scan Report: lukehmcclure.pages.dev

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Submitted: Dec 7, 2025, 3:29:29 PMCompleted: Dec 7, 2025, 3:29:59 PMpubliccompleted
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Summary

This website contacted 42 IPs in 4 countries across 17 domains to perform 39 HTTP transactions. The main domain is lukehmcclure.pages.dev.

Submitted URL: https://lukehmcclure.pages.dev/fawuu-social-security-payment-schedule-2025-january-calendar-vqmtm/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Impersonates Social Security on a brand‑new unranked domain; likely phishing.

Risk Factors
Brand impersonation of a government agency (Social Security) on a non‑official domain
Unranked domain with no established reputation
Domain age less than 90 days
Generic scraped content used to lure users
Potential for credential or personal data harvesting
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 January Calendar - Luke H. McClure

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(88%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'lukehmcclure.pages.dev' is registered; it also runs on subdomain 'lukehmcclure'. The registrable portion 'pages' spans 5 characters holding 2 vowels versus three consonants. Segmentation suggests 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lukehmcclure.pages.dev/fawuu-social-security-payment-schedule-2025-january-calendar-vqmtm/

Page Load Overview

11.98s
Total Load Time
39
HTTP Requests
17
Domains
1.4 MB
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:3,602 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
88%
finance banking
82%
healthcare medical
82%
news media journalism
79%
blog personal website
75%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39142.250.185.225United States
AS15169GOOGLE
0108.167.156.41Ashburn, Virginia, United States
AS19871NETWORK-SOLUTIONS-HOSTING
0172.67.212.207United States
AS13335CLOUDFLARENET
0142.251.140.202United States
AS15169GOOGLE
0172.66.169.241United States
AS13335CLOUDFLARENET
0150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0216.58.206.33United States
AS15169GOOGLE
0172.67.75.142United States
AS13335CLOUDFLARENET
046.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
0188.114.97.3United States
AS13335CLOUDFLARENET
3942--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173031832509D107B3E1FA3ECD1E17329E8A99A34CA034BA672F972645F84DF641E711E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6DJPvZdapF4kGCBgCe3JuyIyeciBZ12kVp4rY0ZMZ5WJ:MvapCCBgC4JuyIye/12Sp4rY0ZMrWJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40537:QFVJ71oCAACCCPD1wICGzRNNoCDQAEJBwAhguAQIiM7CcA408BgI1gkkMiJEkkhYoAUoY+gYUICoEu61DEAABRDg6yEBTZth

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:0000ffffffff8787
Perceptual Hash:bec93649283ec936
Difference Hash:23250b2b3a332f2f
Wavelet Hash:0000ffbf87df8383
Color Hash:#3a7478

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data