Security Scan Report: emmauono.pages.dev

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Submitted: Jan 8, 2026, 1:19:19 PMCompleted: Jan 8, 2026, 1:21:07 PMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 16 domains to perform 51 HTTP transactions. The main domain is emmauono.pages.dev and was registered NaN years ago.

Submitted URL: https://emmauono.pages.dev/gtbt-social-security-cost-living-adjustment-2025-ypppr/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Well‑established domain (>5 years old)
No credential‑harvesting or payment collection forms
No external malicious links or Indicators of Compromise
Domain age information unavailable

Details

Page Title

Social Security Cost Living Adjustment 2025 - Emma U. Ono

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(47%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'emmauono.pages.dev' is registered, featuring subdomain 'emmauono'. Count 5 characters in 'pages' containing two vowels alongside 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

Security scan screenshot of https://emmauono.pages.dev/gtbt-social-security-cost-living-adjustment-2025-ypppr/

Page Load Overview

31.66s
Total Load Time
51
HTTP Requests
16
Domains
1.2 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:4,997 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical47% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
47%
government public service
35%
news/blog
35%
corporate
35%
adult content
25%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
344.234.15.254Boardman, Oregon, United States
AS16509AMAZON-02
3104.21.86.200United States
AS13335CLOUDFLARENET
3188.114.97.3United States
AS13335CLOUDFLARENET
3216.58.209.182United States
AS15169GOOGLE
377.37.53.15Meppel, Drenthe, Netherlands
AS47583Hostinger International Limited
3142.251.38.67United States
AS15169GOOGLE
318.165.122.49United States
AS16509AMAZON-02
3104.19.154.92United States
AS13335CLOUDFLARENET
3172.66.169.241United States
AS13335CLOUDFLARENET
3199.232.172.238Stockholm, Stockholm County, Sweden
AS54113FASTLY
5117--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C473073195F910B3626B93D896F0671AAFE1D603C6034A5532FC97949FD9EE3883321D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DIVNkapsB+TJSSNdyE64oJFt+10gi0wqIIi81AJm0fzzGvbvK:Ic+Th3kJm0fzzGvbvK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78532:ghIIqEI0E6CESESwIMo0glrwiIRNQ0UA8VZ5VQUEBlBdhAMoXG3iCSCUBIiAXAADKIkQwQCKhQAlFBQHYAYYCbn4WAy0SQSt

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:00ff00ffffffcf87
Perceptual Hash:bc473ec73448633c
Difference Hash:216095f126c93d3f
Wavelet Hash:00bf007f83ff8587
Color Hash:#acac53

Scan History

Scan history not available

Unable to load historical scan data