ScanMalware.com

Security Scan Report: altonwmcfaddenr.pages.dev

Site favicon
Submitted: Jan 12, 2026, 4:46:41 PMCompleted: Jan 12, 2026, 4:48:10 PMpubliccompleted
Loading additional data...

Summary

This website contacted 15 IPs in 3 countries across 15 domains to perform 41 HTTP transactions. The main domain is altonwmcfaddenr.pages.dev and was registered NaN years ago.

Submitted URL: https://altonwmcfaddenr.pages.dev/gfims-social-security-benefit-payments-2025-calendar-tumby/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate informational page with no detected security threats.

Safety Factors
Well‑established domain age
Absence of malicious Indicators of Compromise
No login, password, or payment fields
No brand impersonation or typosquatting
Domain age information unavailable

Details

Page Title

Social Security Benefit Payments 2025 Calendar - Alton W McFadden

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(94%)

Domain Information

The domain 'altonwmcfaddenr.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'altonwmcfaddenr'. Count 5 characters in 'pages' with two vowels and 3 consonants. Word splitting yields one word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://altonwmcfaddenr.pages.dev/gfims-social-security-benefit-payments-2025-calendar-tumby/

Page Load Overview

9.95s
Total Load Time
38
HTTP Requests
16
Domains
1.6 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:3,490 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media94% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
94%
adult content
63%
education learning
53%
healthcare medical
48%
government public service
41%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.250.185.193United States
AS15169GOOGLE
2188.114.97.3United States
AS13335CLOUDFLARENET
2104.20.23.96United States
AS13335CLOUDFLARENET
2172.66.44.161United States
AS13335CLOUDFLARENET
2192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
2150.171.28.10Unknown
AS32244
2104.26.5.18Unknown
AS13335
2146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113FASTLY
23.174.46.20UnknownUnknown
2188.114.96.3UnknownUnknown
3815--

Detected Technologies10

WordPressv6.5.4
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD533A6254EC103A269E63E8A561B21DAE97E109CF036B10B3FC76988F94EF585F304D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:MrapJTl0CS/UJy1yT+iWmK8vPOKRLv6jJxY1n:ZTTgzJxY1n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61873:gSQoKKQgGKIAABLBlHhxghAXAIkoAMUUATIEzMlocyQEUUXBBBlBABq6UIEjAMgtkNgJTKIEVEAIURAKwDx0Qyw0jCnRqgUh

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:00ff873fc7878787
Perceptual Hash:bfc16464412f3774
Difference Hash:4e014d69154d655d
Wavelet Hash:00ff073f87858787
Color Hash:#ac5399

Other Hashes

Crop Resistant:4e014d69154d655d

Scan History

Scan history not available

Unable to load historical scan data