Security Scan Report: voigtelfriede.pages.dev

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Submitted: Jan 4, 2026, 6:31:32 PMCompleted: Jan 4, 2026, 6:33:00 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 12 domains to perform 21 HTTP transactions. The main domain is voigtelfriede.pages.dev and was registered NaN years ago.

Submitted URL: https://voigtelfriede.pages.dev/vgtwff-social-security-holiday-calendar-2025-lfrdnyix/

AI Security Verdict

High Risk

Confidence: 95%

7
Risk Score

Site flagged as high‑risk due to malicious domain match and government‑service impersonation.

Risk Factors
Malicious Indicators of Compromise match on primary domain
Unranked / low‑reputation domain
Impersonation of a government service (Social Security) on a suspicious domain
Domain age information unavailable

Details

Page Title

Social Security Holiday Calendar 2025 - Voigt Elfriede

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

You're looking at domain 'voigtelfriede.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'voigtelfriede'. The core label 'pages' covers 5 characters split between two vowels and 3 consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://voigtelfriede.pages.dev/vgtwff-social-security-holiday-calendar-2025-lfrdnyix/

Page Load Overview

19.38s
Total Load Time
24
HTTP Requests
12
Domains
622 KB
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:2,770 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8188.114.97.3United States
AS13335CLOUDFLARENET
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
282.98.157.73Madrid, Madrid, Spain
AS42612DinaHosting S.L.
2172.66.169.241United States
AS13335CLOUDFLARENET
2188.114.96.3United States
AS13335CLOUDFLARENET
2104.20.23.96United States
AS13335CLOUDFLARENET
2199.188.201.136United States
AS22612NAMECHEAP-NET
2172.67.221.15United States
AS13335CLOUDFLARENET
213.77.182.13United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
249--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196F22933519D04373B5F83ED9191B329B8AAAA14CB079FA275F8B2645BC4CF700A715E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:w2IzZdapFHTEiWIiRkmrJG930oQyJLZQYQ:1UaptAiWIi+z930oQyJLGYQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35431:xAYUAZTSKAVgSCGtJZGABEBhHAiSIDIdYPnSiqjlBRD9AEJgmCUDCEs4QUFgBkEIYALUHVccAogRDAIINFEawJDI0E8qQAmA

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:ffffffc7878787c7
Perceptual Hash:bec1c13ec331cc2e
Difference Hash:2a16361c2c2c3c2c
Wavelet Hash:df8f838783838387
Color Hash:#3a783f

Scan History

Scan history not available

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