Security Scan Report: catherinegfearonn.pages.dev

Submitted: Jan 10, 2026, 7:09:59 PMCompleted: Jan 10, 2026, 7:11:15 PMpubliccompleted
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Summary

This website contacted 12 IPs in 3 countries across 13 domains to perform 28 HTTP transactions. The main domain is catherinegfearonn.pages.dev and was registered NaN years ago.

Submitted URL: https://catherinegfearonn.pages.dev/vpoga-social-security-cola-2025-projected-adcal/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age > 5 years (well established)
No malicious Indicators of Compromise matches found
No credential or payment forms present
Unranked domain but no suspicious activity detected
Domain age information unavailable

Details

Page Title

Social Security Cola 2025 Projected - Catherine G Fearon

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(82%)

Domain Information

Domain 'catherinegfearonn.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'catherinegfearonn'. The core label 'pages' covers 5 characters holding two vowels versus 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://catherinegfearonn.pages.dev/vpoga-social-security-cola-2025-projected-adcal/

Page Load Overview

4.77s
Total Load Time
32
HTTP Requests
14
Domains
1.9 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:1,837 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
82%
documentation technical
68%
entertainment media
63%
government public service
63%
healthcare medical
50%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.21.16.78Germany
2188.114.97.3United States
AS13335CLOUDFLARENET
2142.250.184.246United Kingdom
2104.21.34.113United States
AS13335CLOUDFLARENET
287.248.119.252Unknown
2172.64.149.94United States
AS13335CLOUDFLARENET
2188.114.96.3United States
AS13335CLOUDFLARENET
223.36.162.153Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
22.20.245.22Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3212--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19D032A3281D904777F9F93DDA1A27B1CE5AAA714C9034BB672F4B118AF44DFA40A710E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:JVHZdapzgkST9ZE4tX8MD7Pue/mA9DpBAJ7RqvrjBJ:JFapUT924tpIJ7RqvrjBJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38037:KEhJmslGZGCkxDhZEUiGbKDOcVFMZDKEAzCgTVdKQjwEQYBEDgLk5gbBcoFhAFBQByrgWcUBQFEAkhCSTMiACIFxIiKYDIlQ

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:dfc3ffc7878787c7
Perceptual Hash:b8cdc93cc3c398c3
Difference Hash:361b312e2f3d1f0f
Wavelet Hash:cf81cf8787878383
Color Hash:#539aac

Scan History

Scan history not available

Unable to load historical scan data