Security Scan Report: elladelizabeth.pages.dev

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Submitted: Jan 28, 2026, 11:01:30 PMCompleted: Jan 28, 2026, 11:03:01 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 13 domains to perform 38 HTTP transactions. The main domain is elladelizabeth.pages.dev and was registered NaN years ago.

Submitted URL: https://elladelizabeth.pages.dev/hsguj-new-social-security-benefits-2025-increase-in-arbrg/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk informational page; no credential collection detected.

Risk Factors
Subdomain on hosting platform with unknown age (moderate suspicion)
Unranked domain (not in top 1M) increases uncertainty
Safety Factors
No password, email, or payment fields in forms
Content appears informational about Social Security benefits
Meta tags do not impersonate a major brand
Served over HTTPS (assumed for pages.dev)
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 Increase In - Ella D Elizabeth

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(37%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'elladelizabeth.pages.dev' is registered, featuring subdomain 'elladelizabeth'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://elladelizabeth.pages.dev/hsguj-new-social-security-benefits-2025-increase-in-arbrg/

Page Load Overview

21.23s
Total Load Time
35
HTTP Requests
13
Domains
734 KB
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:2,972 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
37%
corporate
35%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.47.21United States
AS13335Cloudflare, Inc.
3142.250.184.246United States
3172.64.149.94United States
AS13335Cloudflare, Inc.
3150.171.28.10United States
AS8075Microsoft Corporation
318.66.102.99United States
AS16509Amazon.com, Inc.
3188.114.97.3United States
AS13335Cloudflare, Inc.
3104.26.11.116United StatesUnknown
3192.0.66.204San Francisco, California, United States
AS2635Automattic, Inc
3146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3172.67.166.38United StatesUnknown
3511--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BBF2193151E914777A4F83D885927318A9ACE625CB038F7272F972789BC5CFA40B760E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:QtuONuXsC3ZdqZUaAekWVgh//l/WBgiVvDbC+ThbO55Q7ETLqx6mlsKgoSlkHRN8:s8jZdapNiIE3qx6mlxgoSlkHRNqkZW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36303:QBiBcyAT8JQCgDSBjQ4GIClIAMtgEEQwxSm9HhKhYAQkCEIUCQEhrIiWV0RAgIowgBg2oMo7pcAQCCtAJkAIBQBpCpcJBSBb

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:000000001fffffff
Perceptual Hash:be42bcf8603cc39c
Difference Hash:b171f11329003e3f
Wavelet Hash:00000000ffffffff
Color Hash:#87c5b5

Scan History

Scan history not available

Unable to load historical scan data