Summary
This website contacted 121 IPs in 3 countries across 31 domains to perform 516 HTTP transactions. The main domain is appstatesports.com and was registered NaN years ago.
Submitted URL: https://appstatesports.com/sports/football/roster/coaches/eliah-drinkwitz/979
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university athletics page with no security concerns.
Safety Factors
Details
Bot Protection Detected
This website is protected by imperva bot protection. Our scanner was challenged or blocked during access.
Page Title
Eliah Drinkwitz - Football Coach - App State Athletics
Scan Type
public
Language
English
Category
adult content
(58%)Domain Information
You're looking at domain 'appstatesports.com' on the commercial generic top-level domain (.com) with no subdomain. The core label 'appstatesports' covers 14 characters holding 4 vowels versus ten consonants. Segmentation suggests 3 words: app, state, sports. Average segment length settles at five characters. The linguistic tilt is Italian for 'app'. Usage also turns up in English and Chinese (Pinyin) contexts. Net impression: Italian phrase.
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 |
|---|---|---|---|
| 36 | 18.66.122.95 | United States | AS16509AMAZON-02 |
| 4 | 18.66.112.66 | United States | |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 142.251.140.168 | United States | AS15169GOOGLE |
| 4 | 3.33.220.150 | Seattle, Washington, United States | AS16509AMAZON-02 |
| 4 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 4 | 104.18.40.238 | United States | AS13335CLOUDFLARENET |
| 4 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 4 | 18.66.122.103 | United States | AS16509AMAZON-02 |
| 4 | 142.250.185.98 | United States | AS15169GOOGLE |
| 516 | 121 | - | - |
Detected Technologies5
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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