Security Scan Report: velorafrieda.pages.dev

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Submitted: Jan 1, 2026, 12:41:59 AMCompleted: Jan 1, 2026, 12:43:12 AMpubliccompleted
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Summary

This website contacted 16 IPs in 1 country across 16 domains to perform 46 HTTP transactions. The main domain is velorafrieda.pages.dev and was registered NaN years ago.

Submitted URL: https://velorafrieda.pages.dev/vlrgtbg-social-security-schedule-2025-calendar-frdpgte/

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Site is high‑risk due to malicious primary domain and government‑service impersonation.

Risk Factors
Malicious primary domain (pages.dev) flagged in threat intelligence
Impersonation of a government service (Social Security) on a non‑official domain
Unranked domain in Cisco Umbrella despite claiming official content
Domain age information unavailable

Details

Page Title

Social Security Schedule 2025 Calendar - Velora Frieda

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(41%)

Domain Information

The domain 'velorafrieda.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'velorafrieda'. The core label 'pages' covers 5 characters containing 2 vowels alongside 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://velorafrieda.pages.dev/vlrgtbg-social-security-schedule-2025-calendar-frdpgte/

Page Load Overview

6.91s
Total Load Time
33
HTTP Requests
16
Domains
3.6 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:2,661 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service41% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
41%
corporate
35%
adult content
28%
finance banking
25%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.96.3United States
AS13335CLOUDFLARENET
2160.153.0.38United States
AS209242Cloudflare London, LLC
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.250.186.118United States
2104.26.12.221United States
AS13335CLOUDFLARENET
2142.251.208.1United States
AS15169GOOGLE
2142.250.186.131United States
AS15169GOOGLE
2172.66.169.241United States
AS13335CLOUDFLARENET
2192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
245.223.102.78United States
AS19551INCAPSULA
3316--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BDF2E53251A810772E5F83FCC0A27328B9A9E605C7079A6575FC7268AF88DB701B365D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:IrVIQMutsC0kZdqZUaAVkW11ghp+Zd/l/dwCOQZ5wuLr0nBzIh3NqPnC+OZqDYo:WVJFZdap61CT+ZFn30nBz2Nq/C+OZQYo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34234:i6UQjwEkQROFaEGFVYKkbBgIlNpBYEtwEBAC0hKBtASJ5yQCCgAI1xLAahOoKBRADYIAEGFnoBZLSBoDSIImSkGgAKuES9kc

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:ffcfc3c3c3c3c3c3
Perceptual Hash:bc9392c7866dc728
Difference Hash:481f2b2b2b2b2b2b
Wavelet Hash:ff8f8383838383c3
Color Hash:#bf4093

Other Hashes

Crop Resistant:481f2b2b2b2b2b2b

Scan History

Scan history not available

Unable to load historical scan data