Security Scan Report: buy.itunes.apple.com

Site favicon
Submitted: Sep 14, 2026, 6:05:13 AMCompleted: Sep 14, 2026, 6:05:34 AMpubliccompleted

This website contacted 3 IPs in 2 countries across 2 domains to perform 9 HTTP transactions. The main domain is buy.itunes.apple.com and was registered 16 years ago.

Submitted URL: https://buy.itunes.apple.com/WebObjects/MZFinance.woa/wa/accountSummar

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

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #13.

Safety Factors (3)
Well-established domain (ranked #13)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Connecting to the iTunes Store.

Scan Type

public

Domain Name Analysis

The domain 'buy.itunes.apple.com' uses the commercial generic top-level domain (.com) and includes subdomain 'buy.itunes'. The registrable portion 'apple' spans 5 characters with two vowels and 3 consonants. Tokenizing the label suggests 1 word: apple. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://buy.itunes.apple.com/WebObjects/MZFinance.woa/wa/accountSummar

Page Load Overview

1.05s
Total Load Time
305 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Text Length:267 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software44% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
317.253.57.210Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
317.156.128.11United States
AS714Apple Inc.
317.253.57.198Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
93--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T102E0F1271C801D24E71220440DC2F11C1678A16FB300484C39DA20568FC03D98AD36D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:hn8FQ/JQ9xxt1IlFF88inTn4tkhHunTnNTXYLYn/AqJm8eYkNvPltOhNVuB9d:hnMQ/J2xz1IlLUElXdIqJm1MnVG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:86f828c7d80a48d47ed2e6144999ecaf

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:fefec2c2fefefefe
Perceptual Hash:f5758ccf223328cc
Difference Hash:0000040e00000000
Wavelet Hash:3e3e06020e0e0e0e
Color Hash:#84862d

Other Hashes

Crop Resistant:0000040e00000000

Scan History

Scan history not available

Unable to load historical scan data