Summary
This website contacted 233 IPs in 7 countries across 94 domains to perform 286 HTTP transactions. The main domain is hogville.net and was registered NaN years ago.
Submitted URL: https://hogville.net/pig-trail-nation/arkansas-athletic-director-hunter-yurachek-silverfield-has-a-vision-to-win-championships/
The Cisco Umbrella rank of the primary domain is #594,205 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 92%
The site shows no security concerns and appears legitimate.
Safety Factors
Details
Page Title
Arkansas Athletic Director Hunter Yurachek – “(Silverfield) has a vision to win championships” - Hogville.net
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
Domain 'hogville.net' uses the network infrastructure generic top-level domain (.net) and has no subdomain. The core label 'hogville' covers 8 characters split between 3 vowels and five consonants. Word splitting yields two words: hog, ville. Average segment length settles at 4 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 |
|---|---|---|---|
| 54 | 69.173.144.165 | Frankfurt am Main, Hesse, Germany | AS26667RUBICONPROJECT |
| 42 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 22 | 142.132.205.219 | Falkenstein, Saxony, Germany | AS24940Hetzner Online GmbH |
| 10 | 34.126.237.167 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 9 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 9 | 104.18.23.135 | United States | AS13335CLOUDFLARENET |
| 8 | 54.192.35.92 | United States | AS16509AMAZON-02 |
| 8 | 35.207.138.134 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 104.18.11.110 | United States | AS13335CLOUDFLARENET |
| 6 | 142.250.186.174 | United States | AS15169GOOGLE |
| 286 | 233 | - | - |
Detected Technologies6
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
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