ScanMalware.com

Security Scan Report: anthonyyoshidaep.pages.dev

Site favicon
Submitted: Dec 27, 2025, 9:51:10 PMCompleted: Dec 27, 2025, 9:51:31 PMpubliccompleted
Loading additional data...

Summary

This website contacted 13 IPs in 1 country across 18 domains to perform 64 HTTP transactions. The main domain is anthonyyoshidaep.pages.dev and was registered NaN years ago.

Submitted URL: https://anthonyyoshidaep.pages.dev/uaqx-social-security-spousal-benefits-changes-2025-vaizl/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Well‑established domain age
No credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Social Security Spousal Benefits Changes 2025 - Anthony Yoshida E.P

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(64%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'anthonyyoshidaep.pages.dev' is registered with subdomain 'anthonyyoshidaep'. Count 5 characters in 'pages' with two vowels and three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://anthonyyoshidaep.pages.dev/uaqx-social-security-spousal-benefits-changes-2025-vaizl/

Page Load Overview

8.32s
Total Load Time
64
HTTP Requests
0
Domains
N/A
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:3,963 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service64% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
64%
finance banking
49%
adult content
49%
news/blog
35%
healthcare medical
33%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29172.66.44.210United States
AS13335CLOUDFLARENET
7172.217.23.99UnknownUnknown
2172.66.169.241United States
AS13335CLOUDFLARENET
1150.171.27.10UnknownUnknown
1192.0.73.2UnknownUnknown
1142.251.140.182UnknownUnknown
1142.250.184.202UnknownUnknown
1172.67.166.38United States
AS13335CLOUDFLARENET
13.141.236.60UnknownUnknown
1188.114.97.3UnknownUnknown
013--

Detected Technologies5

WordPressv6.7.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv0.8
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14DC3B8E1D0D732252362831DFAC4F989BFAEB354D9410AE4F2B9850E0FD5949AB5370B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:t8vSHIapHT+FN+N+Qicc+7d3K8W9c+7d3K8W/8uhWE1BMdE8WvSAE8B2rZoCix1d:tVtTX7JxYyIerrFHLxt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121605:HAAESOAipABLKBXgRQBiCEwgsAhBCjOVHSjFVBwL2+AiBKAYCThkkSiMqyEcoBmMoAMCCMAMiCgAiJBkRYgBhkErgAEIwACa

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:ffffff8f878787cf
Perceptual Hash:b8c3c73cc926cb38
Difference Hash:222c093a3e3f2f2f
Wavelet Hash:dfc7cd8383838383
Color Hash:#78483a

Other Hashes

Crop Resistant:222c093a3e3f2f2f,7b7f7b6bcbca7262

Scan History

Scan history not available

Unable to load historical scan data