Summary
This website contacted 56 IPs in 5 countries across 70 domains to perform 194 HTTP transactions. The main domain is excelsior.edu and was registered NaN years ago.
Submitted URL: https://www.excelsior.edu/article/what-is-christmas/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate educational page with no security concerns.
Safety Factors
Details
Page Title
Christmas | Excelsior University
Scan Type
public
Language
English
Category
corporate business
(72%)Domain Information
The domain name 'www.excelsior.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www'. Its registrable label 'excelsior' stretches across 9 characters holding 4 vowels versus 5 consonants. Splitting it apart reveals one word: excelsior. 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 |
|---|---|---|---|
| 56 | 3.167.227.92 | United States | AS16509AMAZON-02 |
| 10 | 192.28.146.117 | United States | AS15224OMNITURE |
| 10 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 23.67.132.240 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 8 | 44.223.186.5 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 6 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 35.190.43.134 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 5 | 35.204.195.167 | Groningen, Groningen, Netherlands | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 34.49.192.216 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 172.67.75.33 | United States | AS13335CLOUDFLARENET |
| 0 | 56 | - | - |
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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