Summary
This website contacted 13 IPs in 2 countries across 15 domains to perform 53 HTTP transactions. The main domain is connect.businesswilliamsburg.com and was registered NaN years ago.
Submitted URL: https://connect.businesswilliamsburg.com/directory/RedirectTo/15976030
Effective URL: https://connect.businesswilliamsburg.com/directory/Details/dominion-energy-2458828Redirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate informational directory page; no security concerns detected.
Safety Factors
Details
Page Title
Dominion Energy — Greater Williamsburg Chamber of Commerce
Scan Type
public
Language
English
Category
government public service
(43%)Domain Information
Domain 'connect.businesswilliamsburg.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'connect'. The core label 'businesswilliamsburg' covers 20 characters containing 7 vowels alongside 13 consonants. Word splitting yields 2 words: business, williamsburg. Median word length is ten characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 5 | 104.17.24.14 | United States | AS13335Cloudflare, Inc. |
| 5 | 142.251.143.99 | United States | AS15169Google LLC |
| 5 | 104.18.11.207 | Germany | |
| 5 | 216.58.206.42 | Germany | |
| 5 | 172.67.68.126 | Germany | |
| 5 | 198.185.159.144 | New York, New York, United States | AS53831Squarespace, Inc. |
| 5 | 146.75.120.238 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 5 | 142.251.141.138 | Germany | Unknown |
| 5 | 146.75.120.237 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 5 | 34.160.236.44 | Kansas City, Missouri, United States | AS396982Google LLC |
| 65 | 13 | - | - |
Detected Technologies12
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data