Summary
This website contacted 89 IPs in 3 countries across 27 domains to perform 103 HTTP transactions. The main domain is ncat.edu and was registered NaN years ago.
Submitted URL: https://www.ncat.edu/news/2025/11/63m-scott-investment.php
The Cisco Umbrella rank of the primary domain is #250,566 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university news page with no security concerns.
Safety Factors
Details
Page Title
A&T Receives Transformative $63M Investment from Philanthropist MacKenzie Scott | North Carolina A&T State University
Scan Type
public
Language
English
Category
education
(90%)Domain Information
The domain 'www.ncat.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'www'. Its registrable label 'ncat' stretches across 4 characters split between 1 vowel and 3 consonants. Breaking it apart gives two words: nc, at. The median word length lands at 2 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 |
|---|---|---|---|
| 50 | 152.4.170.2 | United States | AS81NCREN |
| 15 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 7 | 142.250.184.232 | United States | AS15169GOOGLE |
| 4 | 142.250.185.227 | United States | AS15169GOOGLE |
| 4 | 216.239.32.36 | United States | AS15169GOOGLE |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 13.35.58.60 | United States | AS16509AMAZON-02 |
| 3 | 150.171.22.12 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 74.125.206.155 | United States | AS15169GOOGLE |
| 2 | 142.250.185.106 | United States | AS15169GOOGLE |
| 103 | 89 | - | - |
Detected Technologies3
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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