Summary
This website contacted 53 IPs in 5 countries across 42 domains to perform 109 HTTP transactions. The main domain is cmm.loyno.edu and was registered NaN years ago.
Submitted URL: https://cmm.loyno.edu/news/mar-06-2025_loyola-university-new-orleans-alum-tom-llamas-named-next-anchor-nbc-nightly-news
The Cisco Umbrella rank of the primary domain is #532,161 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
Loyola University New Orleans alum Tom Llamas named as next anchor of the NBC Nightly News | Loyola University New Orleans
Scan Type
public
Language
English
Category
entertainment media
(74%)Domain Information
The domain name 'cmm.loyno.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'cmm'. Count 5 characters in 'loyno' containing two vowels alongside 3 consonants. Segmentation suggests 3 words: lo, y, no. Expect 2 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 |
|---|---|---|---|
| 38 | 184.24.77.146 | Germany | |
| 2 | 69.173.144.165 | Finland | |
| 2 | 3.163.248.4 | United States | AS16509AMAZON-02 |
| 2 | 35.214.136.108 | Groningen, Groningen, Netherlands | AS15169GOOGLE |
| 2 | 185.89.210.90 | Ireland | |
| 2 | 34.111.113.62 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 18.245.46.123 | Unknown | |
| 2 | 54.77.106.249 | Unknown | |
| 2 | 184.24.77.156 | Unknown | |
| 2 | 52.45.98.202 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 142 | 53 | - | - |
Detected Technologies12
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