Summary
This website contacted 17 IPs in 2 countries across 16 domains to perform 43 HTTP transactions. The main domain is signelauridsenl.pages.dev and was registered NaN years ago.
Submitted URL: https://signelauridsenl.pages.dev/ariwl-social-security-stimulus-checks-2025-update-ohsnw/
AI Security Verdict
High Risk
Confidence: 88%
Impersonates Social Security on a non‑official domain; high risk of phishing.
Risk Factors
Details
Page Title
Social Security Stimulus Checks 2025 Update - Signe L. Lauridsen
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
The domain 'signelauridsenl.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'signelauridsenl'. The core label 'pages' covers 5 characters with 2 vowels and three consonants. Word splitting yields one word: pages. 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 |
|---|---|---|---|
| 11 | 13.226.247.54 | United States | AS16509AMAZON-02 |
| 2 | 172.240.253.132 | United States | AS7979SERVERS-COM |
| 2 | 23.36.162.153 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 2 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 2 | 104.18.22.177 | United States | AS13335CLOUDFLARENET |
| 2 | 150.171.28.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 172.67.143.106 | United States | AS13335CLOUDFLARENET |
| 2 | 208.109.228.251 | United States | AS398101GO-DADDY-COM-LLC |
| 2 | 172.66.169.241 | United States | AS13335CLOUDFLARENET |
| 43 | 17 | - | - |
Detected Technologies9
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