Summary
This website contacted 66 IPs in 4 countries across 22 domains to perform 101 HTTP transactions. The main domain is lamar.edu and was registered NaN years ago.
Submitted URL: https://www.lamar.edu/kvlu/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
91.3 KVLU - Member Support Public Radio - Beaumont, Texas - Lamar University
Scan Type
public
Language
English
Category
government public service
(46%)Domain Information
You're looking at domain 'www.lamar.edu' on the sponsored educational top-level domain (.edu) with subdomain 'www'. The second-level label 'lamar' is 5 characters long holding 2 vowels versus 3 consonants. Splitting it apart reveals 1 word: lamar. Average segment length settles at five characters. Most frequently, 'lamar' shows up in Malay. You may catch it in Bosnian and Catalan as well.
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 |
|---|---|---|---|
| 36 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 142.250.185.110 | United States | AS15169GOOGLE |
| 1 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 18.210.127.60 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 72.44.37.98 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 23.36.162.202 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.185.98 | United States | AS15169GOOGLE |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 140.158.64.248 | Beaumont, Texas, United States | AS25709LAMARUNIV |
| 1 | 3.163.248.4 | United States | AS16509AMAZON-02 |
| 101 | 66 | - | - |
Detected Technologies8
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
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