Summary
This website contacted 15 IPs in 2 countries across 5 domains to perform 168 HTTP transactions. The main domain is music.apple.com.
Submitted URL: https://music.apple.com/us/artist/ejae/1118367711
The Cisco Umbrella rank of the primary domain is #17 of the top 1 million websitesTop 100 Site
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
EJAE - Apple Music
Scan Type
public
Language
English
Category
entertainment media
(64%)Domain Information
Domain 'music.apple.com' uses the commercial generic top-level domain (.com), featuring subdomain 'music'. Count 5 characters in 'apple' containing 2 vowels alongside three consonants. Splitting it apart reveals 1 word: apple. Median word length is 5 characters. 'apple' is most common in Tagalog usage. It also appears in English and Sinhala contexts. Net impression: Tagalog phrase with single-word simplicity.
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 | 146.75.123.6 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 11 | 23.35.236.212 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 11 | 23.35.236.24 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 11 | 69.192.161.201 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 11 | 17.156.128.11 | United States | AS714APPLE-ENGINEERING |
| 11 | 2a04:4e42:8e::774 | United States | Unknown |
| 11 | 2a02:26f0:7100:590::1aca | United States | Unknown |
| 11 | 2a02:26f0:3500:586::2a1 | United States | Unknown |
| 11 | 2a02:26f0:3500:592::2a1 | United States | Unknown |
| 11 | 2a02:26f0:3500:588::2a1 | United States | Unknown |
| 168 | 15 | - | - |
Detected Technologies4
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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