Security Scan Report: www.virtualbx.com

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Submitted: Sep 26, 2026, 8:05:43 AMCompleted: Sep 26, 2026, 8:06:39 AMpubliccompleted

This website contacted 12 IPs in 1 country across 11 domains to perform 58 HTTP transactions. The main domain is virtualbx.com and was registered 30 years ago.

Submitted URL: https://www.virtualbx.com/construction-preview/fredericksburg-springhill-suites-hotel-eyed-south-of-historic-district/

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Established construction-news site (23-year-old domain) publishing an article about a proposed Marriott hotel. No forms, no IoCs, no malware, no impersonation. Legitimate.

Safety Factors (5)
Established domain with a 23-year registration history
News/article content (og:type=article) with byline-style reporting and quoted sources
No credential, login, or payment forms anywhere in the DOM
No threat-intelligence, JavaScript malware, or network IDS detections
Physical address visible and clear self-branding as 'Virtual Builders Exchange'
Domain age information unavailable

Details

Page Title

Fredericksburg: Springhill Suites Hotel Eyed South of Historic District - Virtual Builders Exchange

Scan Type

public

Domain Name Analysis

The domain 'www.virtualbx.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'virtualbx' is 9 characters long split between 3 vowels and 6 consonants. Segmentation suggests two words: virtual, bx. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.virtualbx.com/construction-preview/fredericksburg-springhill-suites-hotel-eyed-south-of-historic-district/

Page Load Overview

5.20s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:5,449 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service66% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

government public service
66%
real estate property
46%
news media journalism
39%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14192.237.129.187United States
AS19994Rackspace Hosting
4104.21.27.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.250.154.97Google · CDNUnited States
AS15169Google LLC
4104.18.34.214Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.66.169.241Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.20.23.96Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.64.153.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.67.142.245Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4216.239.34.36Google · CDNUnited States
AS15169Google LLC
4142.251.127.154Google · CDNUnited States
AS15169Google LLC
5812--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CD3E772A36088BA3D5B83A9E529E718F149D615CE0497E6F4FED0C857C8DBB04B3349

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JE78dkzs/Clk0kFFCZe4WyasjoW0LwF9sZtj9tRZM9sZtj9KRcVaB0pd:JjdhGXtZe4WyasjoW0LwF9sZtj9tRZMi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:137770:hBDVVBAzQFiEAIgYKszAgeVBAEKTNPx0QZLqhoYgiAEwA0HEgAJgYBKQkRdZIFkNUBAAZEmZ6C0teKhAY4AgCjGVIV6YAYLJ

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:00f989f9f9f9fff9
Perceptual Hash:eb3e361445143f3c
Difference Hash:610b2b030b0b2b2b
Wavelet Hash:00f981f9f9c9f981
Color Hash:#2d8652

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data