Security Scan Report: christopheryoshidak.pages.dev

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Submitted: Dec 9, 2025, 1:59:48 PMCompleted: Dec 9, 2025, 2:00:23 PMpubliccompleted
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Summary

This website contacted 32 IPs in 2 countries across 15 domains to perform 41 HTTP transactions. The main domain is christopheryoshidak.pages.dev.

Submitted URL: https://christopheryoshidak.pages.dev/xkjr-social-security-deposit-dates-2025-calendar-xyniw/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate informational page with no detected threats.

Safety Factors
Informational content only
No collection of sensitive data
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Social Security Deposit Dates 2025 Calendar - Elizabeth Nakamura D.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(55%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'christopheryoshidak.pages.dev' is registered with subdomain 'christopheryoshidak'. Count 5 characters in 'pages' containing two vowels alongside 3 consonants. Breaking it apart gives 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://christopheryoshidak.pages.dev/xkjr-social-security-deposit-dates-2025-calendar-xyniw/

Page Load Overview

15.96s
Total Load Time
41
HTTP Requests
15
Domains
1.5 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:4,894 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
55%
healthcare medical
53%
news media journalism
52%
adult content
40%
finance banking
38%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10192.185.5.168United States
AS19871NETWORK-SOLUTIONS-HOSTING
1104.21.11.140United States
AS13335CLOUDFLARENET
1104.16.150.108United States
AS13335CLOUDFLARENET
1150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1216.58.209.170United States
AS15169GOOGLE
1160.153.0.38United States
AS209242Cloudflare London, LLC
18.47.69.0United States
AS13335CLOUDFLARENET
18.6.112.0United States
AS13335CLOUDFLARENET
1172.66.44.222United States
AS13335CLOUDFLARENET
1192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
4132--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E43D421C9B82C63252E63D4A172B72EAD93E507C6034D5935FCB6405B87DAB08BF9CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:aKZdapN7X2/lT4Zi1XcINIcRQ/2PVhHTWz9rXmGDBtwxYv24m:ayapYlT4s1Xcyo/ShHiz91twxYvxm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59502:nBHEFgq2AiCuKpIRYc4NIUYbInQRCQAAgYoEoQIDJAG4QRTKwDoyBUQQEsAJRQiIEkVmqHgDAAgjiC4cbxUC3lWGCku8M1KM

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:ff00000000ffffef
Perceptual Hash:ba4fb0c532cd924d
Difference Hash:d00d71310d373a1f
Wavelet Hash:ff00000000ffffff
Color Hash:#1f934e

Scan History

Scan history not available

Unable to load historical scan data