Security Scan Report: sophiezono.pages.dev

Submitted: Nov 24, 2025, 2:25:04 AMCompleted: Nov 24, 2025, 2:26:20 AMpubliccompleted
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Summary

This website contacted 57 IPs in 2 countries across 17 domains to perform 43 HTTP transactions. The main domain is sophiezono.pages.dev.

Submitted URL: https://sophiezono.pages.dev/uvzc-social-security-cap-2025-taxes-and-benefits-avxiu/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms present
Content appears to be a generic informational article
Domain age information unavailable

Details

Page Title

Social Security Cap 2025 Taxes And Benefits - Sophie Z. Ono

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(35%)

Domain Information

The domain 'sophiezono.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'sophiezono'. The core label 'pages' covers 5 characters split between two vowels and 3 consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sophiezono.pages.dev/uvzc-social-security-cap-2025-taxes-and-benefits-avxiu/

Page Load Overview

0.82s
Total Load Time
43
HTTP Requests
17
Domains
1.3 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:3,321 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news/blog
35%
government public service
25%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22172.66.44.86United States
AS13335CLOUDFLARENET
4104.21.11.140United States
AS13335CLOUDFLARENET
2142.250.181.227United States
AS15169GOOGLE
2172.66.136.209United States
AS13335CLOUDFLARENET
1172.67.75.176United States
AS13335CLOUDFLARENET
1199.60.103.226United States
AS209242Cloudflare London, LLC
1104.21.3.64United States
AS13335CLOUDFLARENET
1172.67.72.223United States
AS13335CLOUDFLARENET
1104.20.36.95United States
AS13335CLOUDFLARENET
1136.243.106.228Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
4357--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A1332B2254E914372B2FA3E896A4B71CEA95D516CA038AB471FC716C6FC4DF640F324E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dqapkT+ruVfZXQ7739toXeRKnffJJkEmxOje:d9aTaWuyvfJJkEmxOje

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54583:CnoZFBhMAMH7xAsFKIMcQ1VhUYwgAB2ogAFAcxpCIF0SJUhSgCGIgQCqpg1BgAokAKI0NQoFABXUYgAlmKCGc4EXikQGEQQh

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:818181ffff8787c7
Perceptual Hash:bf6a3e1dc09594c1
Difference Hash:33334540123f4e0f
Wavelet Hash:010181ffff878787
Color Hash:#c6d279

Scan History

Scan history not available

Unable to load historical scan data