Security Scan Report: apps.apple.com

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Submitted: Oct 1, 2025, 7:31:21 PMCompleted: Oct 1, 2025, 7:32:16 PMpubliccompleted
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Summary

This website contacted 23 IPs in 2 countries across 6 domains to perform 53 HTTP transactions. The main domain is apps.apple.com.

Submitted URL: https://apps.apple.com/us/app/paramount/id530168168

The Cisco Umbrella rank of the primary domain is #17 of the top 1 million websitesTop 100 Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

The page is a legitimate Apple App Store listing with no signs of phishing or malware.

Safety Factors
Official Apple domain
Absence of login or payment collection elements
No malicious Indicators of Compromise detected
Consistent branding with Apple services
Domain age information unavailable

Details

Page Title

Connecting to Apple Music.

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

corporate

(50%)

Screenshot

Security scan screenshot of https://apps.apple.com/us/app/paramount/id530168168

Page Load Overview

4.90s
Total Load Time
53
HTTP Requests
6
Domains
1.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:43 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: static
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9146.75.123.6Frankfurt am Main, Hesse, Germany
AS54113FASTLY
223.67.129.147Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
223.53.112.242Amsterdam, North Holland, Netherlands
AS16625AKAMAI-AS
223.213.168.250Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
223.192.152.19Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
223.35.236.24Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
217.253.57.208Frankfurt am Main, Hesse, Germany
AS6185APPLE-AUSTIN
22a02:26f0:3500:59a::1acaGermanyUnknown
22a02:26f0:3500:584::1acaGermanyUnknown
22a04:4e42:8e::774GermanyUnknown
5323--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18242855A3BB22C1D1D66B556CC4D3F0C97670E17F918713090EC258932E8EE96263B7B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:/OXabOR9T1bwrprDMnBU6oDn/zy55AVu3a9VusYx0:/OXabObT1bapr7jzy55AVu0VuL0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12523:iAUCAACYJaqELAg4ARfNeSERsOCEbEKBoAQ1wQgTQQ49xCQACgoSL1PAg6AAYGES0AoMdAEOBBAJBIAEIguUENmAYCEumOtC

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:ffffffe7e7ffffff
Perceptual Hash:e626999966669999
Difference Hash:0000000808000000
Wavelet Hash:33333323272f0f0f
Color Hash:#87e06c

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data