Summary
This website contacted 48 IPs in 2 countries across 39 domains to perform 139 HTTP transactions. The main domain is bellarmine.edu and was registered NaN years ago.
Submitted URL: https://www.bellarmine.edu/about/
The Cisco Umbrella rank of the primary domain is #626,220 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate university site with no security concerns.
Safety Factors
Details
Page Title
All About Bellarmine University
Scan Type
public
Language
English
Category
education learning
(90%)Domain Information
Within the sponsored educational top-level domain (.edu), 'www.bellarmine.edu' is registered with subdomain 'www'. The registrable portion 'bellarmine' spans 10 characters containing four vowels alongside six consonants. Tokenizing the label suggests 3 words: be, llar, mine. Expect 4 characters per word on average. 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 | 23.36.162.7 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 95.101.111.153 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 34.117.162.98 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 3.160.150.103 | United States | AS16509AMAZON-02 |
| 2 | 3.160.150.67 | United States | AS16509AMAZON-02 |
| 2 | 142.250.185.131 | United States | AS15169GOOGLE |
| 2 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 23.36.162.4 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 23.36.162.18 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 146.75.120.217 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 139 | 48 | - | - |
Detected Technologies7
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
Unable to load historical scan data