Summary
This website contacted 96 IPs in 3 countries across 25 domains to perform 140 HTTP transactions. The main domain is ucasports.com and was registered NaN years ago.
Submitted URL: https://ucasports.com/sports/football/roster/ian-dietz/10276
AI Security Verdict
Safe Website
Confidence: 95%
The page appears legitimate 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
Ian Dietz - 2025 - Football - University of Central Arkansas Athletics
Scan Type
public
Language
English
Category
education learning
(64%)Domain Information
You're looking at domain 'ucasports.com' on the commercial generic top-level domain (.com) and has no subdomain. The core label 'ucasports' covers 9 characters split between 3 vowels and 6 consonants. Tokenizing the label suggests three words: uc, a, sports. The median word length lands at two 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 |
|---|---|---|---|
| 45 | 3.174.46.39 | United States | AS16509AMAZON-02 |
| 26 | 65.8.131.88 | United States | AS16509AMAZON-02 |
| 14 | 45.223.123.252 | United States | AS19551INCAPSULA |
| 9 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 6 | 142.250.185.194 | United States | AS15169GOOGLE |
| 5 | 142.250.184.227 | United States | AS15169GOOGLE |
| 5 | 104.18.40.238 | United States | AS13335CLOUDFLARENET |
| 5 | 142.250.74.206 | United States | AS15169GOOGLE |
| 4 | 174.143.40.29 | United States | AS33070RMH-14 |
| 4 | 142.250.185.104 | United States | AS15169GOOGLE |
| 140 | 96 | - | - |
Detected Technologies2
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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