Summary
This website contacted 5 IPs in 2 countries across 3 domains to perform 24 HTTP transactions. The main domain is perfectnewsgh.com and was registered NaN years ago.
Submitted URL: https://perfectnewsgh.com/social-security/social-security-cola-increase-2026/20/
AI Security Verdict
Low Risk
Confidence: 72%
New, unranked site with news content; no immediate threats but limited trust due to age.
Risk Factors
Safety Factors
Details
Page Title
Social Security COLA Increase 2026: Retirees in 10 States Will See the Biggest Raises
Scan Type
public
Language
English
Category
news/blog
(45%)Domain Information
The domain 'perfectnewsgh.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'perfectnewsgh' stretches across 13 characters split between 3 vowels and 10 consonants. Word splitting yields three words: perfect, news, gh. Expect 4 characters per word on average. The linguistic tilt is Chinese (Zhuyin) for 'perfect'. You will also see it in Vietnamese and Spanish contexts.
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 |
|---|---|---|---|
| 4 | 92.113.16.237 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 4 | 92.113.23.149 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 4 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 2a02:4780:44:8c55:f025:568a:3ee:3e8a | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 4 | 2a02:4780:43:e216:a9fc:7f0b:7c60:129 | Frankfurt am Main, Hesse, Germany | AS47583Hostinger International Limited |
| 24 | 5 | - | - |
Page Statistics
Detected Technologies8
Content Similarity HashesFor malware variant detection
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data