Summary
This website contacted 9 IPs in 2 countries across 6 domains to perform 44 HTTP transactions. The main domain is school.apple.com.
Submitted URL: https://school.apple.com/
The Cisco Umbrella rank of the primary domain is #13 of the top 1 million websitesTop 100 Site
AI Security Verdict
Safe Website
Confidence: 99%
Legitimate Apple School Manager site with no security concerns.
Safety Factors
Details
Page Title
Apple School Manager
Scan Type
public
Language
English
Category
technology software
(74%)Domain Information
You're looking at domain 'school.apple.com' on the commercial generic top-level domain (.com) and includes subdomain 'school'. The core label 'apple' covers 5 characters holding 2 vowels versus 3 consonants. Tokenizing the label suggests 1 word: apple. 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 |
|---|---|---|---|
| 14 | 23.197.134.224 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 11 | 23.56.202.65 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 10 | 17.33.201.240 | United States | AS714APPLE-ENGINEERING |
| 5 | 17.23.96.13 | United States | AS714APPLE-ENGINEERING |
| 4 | 23.52.180.240 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 4 | 2a02:26f0:7100:29c::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2a02:26f0:7100:2b5::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2a02:26f0:480:99d::3371 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2a02:26f0:480:9ad::3371 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 44 | 9 | - | - |
Detected Technologies2
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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