Security Scan Report: christinawyoshida.pages.dev

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Submitted: Jan 8, 2026, 5:37:54 AMCompleted: Jan 8, 2026, 5:39:19 AMpubliccompleted
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Summary

This website contacted 14 IPs in 1 country across 12 domains to perform 53 HTTP transactions. The main domain is christinawyoshida.pages.dev and was registered NaN years ago.

Submitted URL: https://christinawyoshida.pages.dev/upay-new-social-security-increase-2025-effective-date-uk-uwdvm/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security threats detected; the site appears legitimate.

Safety Factors
Established domain age reduces suspicion
Absence of login, password, or payment fields
No phishing or malware indicators in threat intelligence
No compromised WordPress paths or suspicious redirects
Domain age information unavailable

Details

Page Title

Social Security Increase 2025 Effective Date Uk - William Leake

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'christinawyoshida.pages.dev' is registered and includes subdomain 'christinawyoshida'. Count 5 characters in 'pages' split between two vowels and 3 consonants. It segments into 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://christinawyoshida.pages.dev/upay-new-social-security-increase-2025-effective-date-uk-uwdvm/

Page Load Overview

13.47s
Total Load Time
43
HTTP Requests
12
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:2,975 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.19.154.92United States
AS13335CLOUDFLARENET
3142.251.208.22United States
3188.114.96.3United States
AS13335CLOUDFLARENET
3172.67.166.38United States
AS13335CLOUDFLARENET
3104.20.23.96United StatesUnknown
3172.66.169.241United States
AS13335CLOUDFLARENET
3150.171.28.10United StatesUnknown
3172.64.149.94United States
AS13335CLOUDFLARENET
3104.26.14.73United StatesUnknown
3150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4314--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E031A3250EC10772A0F93DD8561B31CEEA6EA15CA03CB2A72FC64585F85DFB416B54E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:10UnpZqGGPahULrr3ZdqZUaAWkWNghplZkg/d9IXe0ErgxhHJr5NzVg6Anp7wwbv:14ZdapzaTlZ9gxhjAnxbJKiU7Qjj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40902:gEiEYL4AsFgBQGpSwAQUAgWHOUsDiIJA4IwZhMAKBBWikReKZDYASyACgRlJKIioEwKkKlDkMYCVCMF0AHgAAoDUoIxLAAxK

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:ff00ffffffc78787
Perceptual Hash:b2c732c1ccbac9c6
Difference Hash:0c8d6333221f2f2f
Wavelet Hash:a600ffbbcb838383
Color Hash:#78493a

Scan History

Scan history not available

Unable to load historical scan data