Summary
This website contacted 10 IPs in 2 countries across 11 domains to perform 36 HTTP transactions. The main domain is appledigital.ascensionschools.org and was registered NaN years ago.
Submitted URL: https://appledigital.ascensionschools.org/students/students-clone
AI Security Verdict
Low Risk
Confidence: 78%
Low risk – likely a legitimate informational page despite Apple branding.
Risk Factors
Safety Factors
Details
Page Title
ALP - APPLe Digital
Scan Type
public
Language
English
Category
education learning
(44%)Domain Information
The domain 'appledigital.ascensionschools.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'appledigital'. The core label 'ascensionschools' covers 16 characters holding six vowels versus ten consonants. Tokenizing the label suggests 2 words: ascension, schools. Average segment length settles at eight characters. 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 |
|---|---|---|---|
| 10 | 104.17.24.14 | United States | AS13335Cloudflare, Inc. |
| 6 | 142.251.141.106 | United States | AS15169Google LLC |
| 6 | 104.16.79.73 | United States | AS13335Cloudflare, Inc. |
| 6 | 104.18.29.155 | United States | AS13335Cloudflare, Inc. |
| 6 | 104.18.38.142 | United States | AS13335Cloudflare, Inc. |
| 6 | 142.250.185.131 | United States | AS15169Google LLC |
| 6 | 23.36.162.215 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 142.251.140.168 | United States | AS15169Google LLC |
| 6 | 104.26.13.87 | United States | Unknown |
| 6 | 104.17.166.123 | United States | AS13335Cloudflare, Inc. |
| 64 | 10 | - | - |
Detected Technologies13
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