Security Scan Report: apps.apple.com

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Submitted: Feb 25, 2026, 8:15:15 AMCompleted: Feb 25, 2026, 8:16:33 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 5 domains to perform 74 HTTP transactions. The main domain is apps.apple.com and was registered NaN years ago.

Submitted URL: https://apps.apple.com/us/app/brilliant-learn-by-doing/id913335252

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

The page is a legitimate Apple App Store listing for the Brilliant app with no security concerns.

Safety Factors
Well‑established, high‑ranking domain (Apple)
No malicious Indicators of Compromise
No forms collecting sensitive data
Meta tags align with legitimate Apple App Store content
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

‎Brilliant: Learn by doing App - App Store

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(66%)

Domain Information

The domain 'apps.apple.com' uses the commercial generic top-level domain (.com) with subdomain 'apps'. Count 5 characters in 'apple' holding two vowels versus three consonants. Splitting it apart reveals 1 word: apple. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apps.apple.com/us/app/brilliant-learn-by-doing/id913335252

Page Load Overview

1.42s
Total Load Time
48
HTTP Requests
5
Domains
1.4 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:26,748 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
66%
corporate
35%
technology software
26%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1217.253.57.208Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
1223.52.180.240Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
12146.75.123.6Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1223.52.180.26Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
484--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13054B4B26210313A41A78ADD76312B86E1DFD1DDDFA205D0ABFCC3A56BC6CE0FA05564

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:s1AtLQ+W1uvuIuYnnnqCZtjC0kjkVYN+dMJwru9G/sKVonC:sytbW1uvP1nnnqCN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:297832:GYwSICFKAKgUOApoYWQIAdgOIzjQtetAA+A3zcoAoMSQAYFkkCAIGygh1AekB9xkYLKA1JFAIEYAJUBigBhAqTBU2MKINAIg

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:808088ffffffcfcf
Perceptual Hash:f95e795e8481843e
Difference Hash:303030c2e4db1a9a
Wavelet Hash:8000007fffcf8bcf
Color Hash:#87bdc5

Scan History

Scan history not available

Unable to load historical scan data