Security Scan Report: osxapps.itunes.apple.com

Submitted: Nov 28, 2025, 3:09:51 AMCompleted: Nov 28, 2025, 3:14:46 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is osxapps.itunes.apple.com.

Submitted URL: https://osxapps.itunes.apple.com/

The Cisco Umbrella rank of the primary domain is #13 of the top 1 million websitesTop 100 Site

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Error

Scan Type

public

Language

🇺🇸

English

(67% confidence)

Category

news media journalism

(48%)

Domain Information

The domain name 'osxapps.itunes.apple.com' uses the commercial generic top-level domain (.com) and includes subdomain 'osxapps.itunes'. The core label 'apple' covers 5 characters with two vowels and three consonants. It segments into one word: apple. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://osxapps.itunes.apple.com/

Page Load Overview

0.19s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:67%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:67%
Script Type:Latin
Text Length:56 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism48% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
48%
government public service
47%
healthcare medical
45%
adult content
43%
real estate property
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
217.253.57.210Germany
017.253.57.204Germany
02a01:b740:a10:f100::198Germany
02a01:b740:a10:f100::202Frankfurt am Main, Hesse, Germany
AS6185APPLE-AUSTIN
24--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D8D0A7AA4651584FCCD217067E8667C549D4736544898D64368A804B44E9018C8411C5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxwvfHKERSAEtvA+FKEIHiHF0JZHs7CSXNAK81TJTg7FvRp7MFONAjRSRoBLFI:qzxwK4zEdADHiHQs7CAcz07GAEQR4ez

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:e91935a8a2d0951ee3a1ef2bf59725d3

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:1f00ffffffffffff
Perceptual Hash:99010103c7e7e7ef
Difference Hash:d038000000000000
Wavelet Hash:7f00ffff00000000
Color Hash:#2d8633

Other Hashes

Crop Resistant:d038000000000000

Scan History

Scan history not available

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