Summary
This website contacted 185 IPs in 5 countries across 46 domains to perform 124 HTTP transactions. The main domain is xula.edu and was registered NaN years ago.
Submitted URL: https://www.xula.edu/news/20251/11/philanthropist-mackenzie-scott-makes-historic-38-million-gift-to-xavier.html
The Cisco Umbrella rank of the primary domain is #773,330 of the top 1 million websites
AI Security Verdict
Details
Page Title
Philanthropist MacKenzie Scott Makes Historic $38 Million Gift to Xavier - Xavier University of Louisiana
Scan Type
public
Language
English
Category
other
(49%)Domain Information
The domain name 'www.xula.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. Its registrable label 'xula' stretches across 4 characters holding 2 vowels versus 2 consonants. It segments into 2 words: xul, a. Median word length comes out to 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 |
|---|---|---|---|
| 26 | 18.245.86.31 | United States | AS16509AMAZON-02 |
| 8 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 8 | 67.202.41.251 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 172.217.18.4 | United States | AS15169GOOGLE |
| 5 | 142.250.185.72 | United States | AS15169GOOGLE |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 54.209.86.250 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 34.204.122.208 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 142.250.185.170 | United States | AS15169GOOGLE |
| 124 | 185 | - | - |
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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