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Security Scan Report: www.visitwilliamsburg.com

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Submitted: Nov 22, 2025, 3:17:14 AMCompleted: Nov 22, 2025, 3:20:39 AMpubliccompleted
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Summary

This website contacted 187 IPs in 8 countries across 71 domains to perform 421 HTTP transactions. The main domain is visitwilliamsburg.com and was registered NaN years ago.

Submitted URL: https://www.visitwilliamsburg.com/plan/the-region/yorktown/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Domain age over 29 years (well‑established)
Final URL matches official brand (Visit Williamsburg)
No malicious Indicators of Compromise detected
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Yorktown, VA, to Williamsburg, VA | Visit Williamsburg

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(25%)

Domain Information

Domain 'www.visitwilliamsburg.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'visitwilliamsburg' covers 17 characters holding six vowels versus 11 consonants. Tokenizing the label suggests 2 words: visit, williamsburg. The median word length lands at 8.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.visitwilliamsburg.com/plan/the-region/yorktown/

Page Load Overview

2.51s
Total Load Time
421
HTTP Requests
71
Domains
5.4 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
Text Length:9,257 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service25% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
25%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1532.17.100.129Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
25172.66.137.211United States
AS13335CLOUDFLARENET
12142.250.185.168United States
AS15169GOOGLE
12216.58.206.38United States
AS15169GOOGLE
11104.18.28.155United States
AS13335CLOUDFLARENET
1123.215.51.66United States
AS20940Akamai International B.V.
11216.239.32.36United States
AS15169GOOGLE
9157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
9142.250.186.162United States
AS15169GOOGLE
735.241.54.161Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
421187--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11984E726BB6F2D3B010F21D69292934560ABEF72DA8446D5F1FE03E87F8E881641771D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:N5kWUAo/IXNSuTOz/9UJUkpuAzUPADRCDvN2yrSL3PA0au/EnfUcA0aYJ/j9+VE5:NNUmU9UW+VEokTwI8D1PFe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:385123:hECGBA8AWAAXXBy91FHAMECCBAgRhp6iQyS4UQAAnaDNEOGIoAUCTWAQKEigwgEhQBJigiANER+RBAIKJKoCHigQeomBoEHA

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:ebfffffd000011e5
Perceptual Hash:ea9de10df20a74b8
Difference Hash:13c331c9f9636189
Wavelet Hash:c1fffffd000001f1
Color Hash:#78753a

Other Hashes

Crop Resistant:13c331c9f9636189,0cc6e2721a996c96,e0f0e0c0f03c3c1c,a68224447c7c00c4,13c33189f9636389,70fc763e0f1301c0

Scan History

Scan history not available

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