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%
Impersonates Social Security on a brand‑new unranked domain; likely phishing.
Risk Factors
Details
Page Title
Social Security Payment Schedule 2025 January Calendar - Luke H. McClure
Scan Type
public
Language
English
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

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 39 | 142.250.185.225 | United States | AS15169GOOGLE |
| 0 | 108.167.156.41 | Ashburn, Virginia, United States | AS19871NETWORK-SOLUTIONS-HOSTING |
| 0 | 172.67.212.207 | United States | AS13335CLOUDFLARENET |
| 0 | 142.251.140.202 | United States | AS15169GOOGLE |
| 0 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 0 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 216.58.206.33 | United States | AS15169GOOGLE |
| 0 | 172.67.75.142 | United States | AS13335CLOUDFLARENET |
| 0 | 46.229.172.197 | Netherlands | AS39572DataWeb Global Group B.V. |
| 0 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 39 | 42 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data