Summary
This website contacted 16 IPs in 1 country across 9 domains to perform 2 HTTP transactions. The main domain is diabeteseduniversity.net and was registered 21 years ago.
Submitted URL: https://diabeteseduniversity.net
AI Security Verdict
Safe Website
Confidence: 85%
The site shows no malicious indicators, uses its own branding, and is hosted on an established domain.
Safety Factors
Details
Page Title
DiabetesEd Services - Online University
Scan Type
public
Language
English
Category
social media network
(88%)Domain Information
Domain 'diabeteseduniversity.net' uses the network infrastructure generic top-level domain (.net) while skipping any subdomain. Its registrable label 'diabeteseduniversity' stretches across 20 characters containing nine vowels alongside eleven consonants. It segments into three words: diabetes, ed, university. Expect eight 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 |
|---|---|---|---|
| 17 | 52.217.199.33Aws · CLOUD | Ashburn, Virginia, United States | AS16509Amazon.com, Inc. |
| 2 | 104.26.0.115Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 157.245.131.171 | North Bergen, New Jersey, United States | AS14061DigitalOcean, LLC |
| 2 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 2 | 172.67.73.221Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 172.67.188.181Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 52.216.38.241Aws · CLOUD | Ashburn, Virginia, United States | AS16509Amazon.com, Inc. |
| 2 | 216.239.34.36Google · CDN | United States | AS15169Google LLC |
| 2 | 142.251.110.95Google · CDN | United States | AS15169Google LLC |
| 2 | 142.251.152.119Google · CDN | United States | AS15169Google LLC |
| 47 | 16 | - | - |
Page Statistics
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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