Security Scan Report: se-edge.itunes.apple.com

Submitted: Nov 26, 2025, 7:04:46 AMCompleted: Nov 26, 2025, 7:07:52 AMpubliccompleted
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Summary

This website contacted 7 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is se-edge.itunes.apple.com.

Submitted URL: https://se-edge.itunes.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: 95%

0
Risk Score

Legitimate Apple subdomain returning 404, no security concerns.

Safety Factors
High Cisco Umbrella ranking indicating reputable domain
Appears to be an official Apple subdomain
No suspicious content or redirects
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Information

The domain 'se-edge.itunes.apple.com' uses the commercial generic top-level domain (.com), featuring subdomain 'se-edge.itunes'. Count 5 characters in 'apple' holding 2 vowels versus 3 consonants. Breaking it apart gives 1 word: apple. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://se-edge.itunes.apple.com/

Page Load Overview

0.32s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22.19.224.19Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
023.192.152.19Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
02a02:26f0:3500:58a::2a1Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02a02:26f0:3500:59a::2a1Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02a02:26f0:3500:58e::2a1Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02a02:26f0:3500:591::2a1Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02a02:26f0:3500:593::2a1Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
27--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14AD0237AD520051913335AECDE82710C4AD5720ED4325C41B984D06485C7959C403384

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iLDAzd6Nx/dKbUKYS8K4FLfRRyIdlEbXId:qzxV/5VHHQYk/B968ACxEbTYNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:956b908c87e258ce33ec81e2edfdea87

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

Average Hash:00ffffffffffffff
Perceptual Hash:9919191b1f1f0f47
Difference Hash:f020000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#53a0ac

Other Hashes

Crop Resistant:f020000000000000

Scan History

Scan history not available

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