Summary
This website contacted 76 IPs in 2 countries across 14 domains to perform 40 HTTP transactions. The main domain is lwardelizabeth.pages.dev and was registered NaN years ago.
Submitted URL: https://lwardelizabeth.pages.dev/oysdw-social-security-part-b-increase-2025-voapc/
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no suspicious activity and appears legitimate.
Safety Factors
Details
Page Title
Social Security Part B Increase 2025 - L Ward Elizabeth
Scan Type
public
Language
English
Category
government public service
(43%)Domain Information
You're looking at domain 'lwardelizabeth.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'lwardelizabeth'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. Breaking it apart gives 1 word: pages. The median word length lands at 5 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 |
|---|---|---|---|
| 40 | 104.21.11.140 | United States | AS13335CLOUDFLARENET |
| 25 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 4 | 172.67.166.38 | United States | AS13335CLOUDFLARENET |
| 1 | 23.216.77.55 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 104.198.108.103 | The Dalles, Oregon, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 3.160.150.102 | United States | AS16509AMAZON-02 |
| 1 | 172.67.194.192 | United States | AS13335CLOUDFLARENET |
| 1 | 108.138.26.64 | United States | AS16509AMAZON-02 |
| 1 | 172.217.23.118 | United States | AS15169GOOGLE |
| 1 | 104.26.13.221 | United States | AS13335CLOUDFLARENET |
| 40 | 76 | - | - |
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
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