Security Scan Report: apps.apple.com

Redirected to: https://apps.apple.com/us/iphone/today

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Submitted: Dec 3, 2025, 5:44:34 PMCompleted: Dec 3, 2025, 5:46:36 PMpubliccompleted
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Summary

This website contacted 22 IPs in 4 countries across 7 domains to perform 188 HTTP transactions. The main domain is apps.apple.com.

Submitted URL: https://apps.apple.com/

Effective URL: https://apps.apple.com/us/iphone/todayRedirected

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

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate Apple App Store page with no security concerns.

Safety Factors
High Cisco Umbrella ranking indicating reputable domain
Physical address visible on the site
Official Apple domain (apps.apple.com) with established brand presence
Domain age information unavailable

Details

Page Title

‎Today for iPhone - App Store

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(77%)

Domain Information

You're looking at domain 'apps.apple.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'apps'. The registrable portion 'apple' spans 5 characters split between 2 vowels and three consonants. Segmentation suggests one word: apple. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apps.apple.com/

Page Load Overview

0.52s
Total Load Time
188
HTTP Requests
7
Domains
16.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:7,892 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
77%
technology software
64%
entertainment media
53%
education learning
38%
news media journalism
36%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
136151.101.11.6Brussels, Brussels Capital, Belgium
AS54113FASTLY
2469.192.160.24Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2017.253.57.206Frankfurt am Main, Hesse, Germany
AS6185APPLE-AUSTIN
1717.253.57.200Frankfurt am Main, Hesse, Germany
AS6185APPLE-AUSTIN
823.67.129.147Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
82a04:4e42:3a::774Helsinki, Uusimaa, Finland
AS54113FASTLY
82a01:b740:a10:f100::200Frankfurt am Main, Hesse, Germany
AS6185APPLE-AUSTIN
82a02:26f0:7100:99b::1fcfFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
82a02:26f0:3500:59b::1acaFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
82a02:26f0:3500:584::1acaFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
18822--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BAA453BBA540547661EB47E932341E59E1ABE0CCCE9644D1B3BC83E47FC2CE496E12C6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:yhAgJ3yFNWZ1oJ/7dVnr18urip5CFRMStNn9HaCOD2LdBgymW6tLQRfN/eRL4Jfq:yhAY1o5rip5u9deOnzgbp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:455158:JQDB3B4JSkEgMOQBSQglAGyqQhdAFCWBQiQINAZiWVa1AGIQCMIWKgSNwjhOBdGKzFACIBCrQAoAAOwcGr5CQGDIE1ISSgFI

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:ffe0e0e0e0e0e0e0
Perceptual Hash:e39d9c9d9c959421
Difference Hash:5ac9c9c9c9c9c9c9
Wavelet Hash:ffe1e1e1e0e0e0e0
Color Hash:#1f9370

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data