Security Scan Report: vhendersonflynn.pages.dev

Submitted: Dec 12, 2025, 12:46:58 PMCompleted: Dec 12, 2025, 12:47:29 PMpubliccompleted
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Summary

This website contacted 35 IPs in 3 countries across 16 domains to perform 42 HTTP transactions. The main domain is vhendersonflynn.pages.dev and was registered NaN years ago.

Submitted URL: https://vhendersonflynn.pages.dev/fvnqu-social-security-calendar-2025-holidays-ilgws/

AI Security Verdict

High Risk

Confidence: 88%

7
Risk Score

Site impersonates eBay on an unrelated domain, posing a high phishing risk.

Risk Factors
Brand impersonation/typosquatting of a well‑known brand (eBay) on an unrelated domain
Unranked domain presenting a major brand name
Lack of any legitimate brand verification (final URL does not match eBay)
Domain age information unavailable

Details

Page Title

Social Security Calendar 2025 Holidays - V Henderson Flynn

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(45%)

Domain Information

You're looking at domain 'vhendersonflynn.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'vhendersonflynn'. Count 5 characters in 'pages' with two vowels and 3 consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vhendersonflynn.pages.dev/fvnqu-social-security-calendar-2025-holidays-ilgws/

Page Load Overview

11.23s
Total Load Time
42
HTTP Requests
16
Domains
969 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:3,366 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
45%
news/blog
35%
adult content
27%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.67.166.38United States
AS13335CLOUDFLARENET
1216.58.206.65United States
AS15169GOOGLE
1142.250.185.193United States
AS15169GOOGLE
1172.66.169.241United States
AS13335CLOUDFLARENET
1150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1142.250.186.106United States
AS15169GOOGLE
182.98.157.73Madrid, Madrid, Spain
AS42612DinaHosting S.L.
1142.250.185.161United States
AS15169GOOGLE
152.57.221.121Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
145.223.102.78United States
AS19551INCAPSULA
4235--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17033297351F910373B6F83E8A9917B09FB95A11ACA031E6635FC66585F84DFA00E311E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0eappG7TlPmQ4O7GzDexzMNzGmK3JqYCxYh:0xOTMQpJqYCxYh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54999:sNBAEXCQ4EJwkxGFQIhgcFICgHI8xQYWmOCAqZ9SoKgJAiVXIEmF6zABEcMKAFRQEABAwK4VgUSBgAaiaMUFQGYBCqEUQYCE

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:e7e7087c4e060606
Perceptual Hash:b2cfb634c51b4938
Difference Hash:0c0c3bf19c9c9c98
Wavelet Hash:e7ff381e4e424642
Color Hash:#231f93

Other Hashes

Crop Resistant:0c0c3bf19c9c9c98

Scan History

Scan history not available

Unable to load historical scan data