Summary
This website contacted 56 IPs in 3 countries across 19 domains to perform 90 HTTP transactions. The main domain is umhoops.com and was registered NaN years ago.
Submitted URL: https://umhoops.com/2025/11/01/coaches-bullish-on-trey-mckenney-ahead-of-highly-anticipated-debut/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no security concerns.
Safety Factors
Details
Page Title
Coaches ‘bullish’ on Trey McKenney ahead of highly-anticipated debut | UM Hoops.com
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
Within the commercial generic top-level domain (.com), 'umhoops.com' is registered with no subdomain. The registrable portion 'umhoops' spans 7 characters with three vowels and four consonants. Word splitting yields 2 words: um, hoops. Average segment length settles at 3.5 characters. 'um' is most common in Portuguese usage. Usage also turns up in Portuguese (Brazil) and German contexts.
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 |
|---|---|---|---|
| 35 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 142.250.186.34 | United States | AS15169GOOGLE |
| 1 | 52.222.236.116 | United States | AS16509AMAZON-02 |
| 1 | 142.250.184.200 | United States | AS15169GOOGLE |
| 1 | 104.18.11.207 | United States | AS13335CLOUDFLARENET |
| 1 | 104.18.10.207 | United States | AS13335CLOUDFLARENET |
| 1 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 162.159.135.42 | United States | AS13335CLOUDFLARENET |
| 90 | 56 | - | - |
Detected Technologies14
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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