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Security Scan Report: arielznakagawa.pages.dev

Submitted: Jan 25, 2026, 6:43:32 AMCompleted: Jan 25, 2026, 6:44:49 AMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 14 domains to perform 1 HTTP transaction. The main domain is arielznakagawa.pages.dev and was registered NaN years ago.

Submitted URL: https://arielznakagawa.pages.dev/yvvn-social-security-benefits-calendar-2025-todbo/

AI Security Verdict

Safe Website

Confidence: 85%

2
Risk Score

Informational page about Social Security benefits; no phishing or malware detected.

Safety Factors
Informational content with clear author attribution (Ariel Z. Nakagawa)
No forms collecting sensitive data
Hosted on a reputable platform (pages.dev)
No redirects or hidden JavaScript malware detected
Domain age information unavailable

Details

Page Title

Social Security Benefits Calendar 2025 - Ariel Z. Nakagawa

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(69%)

Domain Information

The domain 'arielznakagawa.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'arielznakagawa'. The second-level label 'pages' is 5 characters long with 2 vowels and 3 consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arielznakagawa.pages.dev/yvvn-social-security-benefits-calendar-2025-todbo/

Page Load Overview

8.23s
Total Load Time
39
HTTP Requests
14
Domains
1.1 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:2,991 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
69%
corporate
35%
adult content
29%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1346.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
2141.193.213.20United States
AS209242Cloudflare London, LLC
2150.171.28.10United States
AS8075Microsoft Corporation
2172.67.166.38United States
AS13335Cloudflare, Inc.
2172.66.44.75United States
AS13335Cloudflare, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
245.223.102.78United States
AS19551Incapsula Inc
2142.251.208.10United States
AS15169Google LLC
2104.26.5.18United States
AS13335Cloudflare, Inc.
2192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
3914--

Detected Technologies9

WordPressv6.4.2
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DDF2D63291A914373A6F83EC81A67319B9A8E615DB038F7171FC32645FC5DF600A761D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7tZdap6/znv2YSxfTegBYqyszGx9yoKlZU:xapCznv2YShTegBYxszGx9yoKlO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37539:AOuSIA6BAJgrMkFIEtuGEQLIgJXxQViGozaAA0EAtgQImAiEQCFQKAKsYjW4akC3AAFpKBseAQzUBAFcggEQZwSKkCX0ByMA

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:ff0000000000ffff
Perceptual Hash:aa40b7e09fd823b6
Difference Hash:cc05697115a16d6d
Wavelet Hash:ff0101390101ffff
Color Hash:#2d32d2

Other Hashes

Crop Resistant:cc05697115a16d6d,00200c71300c0000

Scan History

Scan history not available

Unable to load historical scan data