Security Scan Report: apps.apple.com

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Submitted: Feb 5, 2026, 9:31:41 PMCompleted: Feb 5, 2026, 9:33:36 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is apps.apple.com and was registered NaN years ago.

Submitted URL: https://apps.apple.com/us/app/apartment-list-apt-rentals/id659694038

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 for the Apartment List app.

Safety Factors
Highly reputable Apple domain
Top‑ranked in Cisco Umbrella (Top 100)
No credential or payment collection forms
No malicious Indicators of Compromise
No suspicious JavaScript or redirects
Domain age information unavailable

Details

Page Title

apps.apple.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the commercial generic top-level domain (.com), 'apps.apple.com' is registered; it also runs on subdomain 'apps'. The second-level label 'apple' is 5 characters long with two vowels and three consonants. Tokenizing the label suggests 1 word: apple. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apps.apple.com/us/app/apartment-list-apt-rentals/id659694038

Page Load Overview

23.59s
Total Load Time
46
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:30,787 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
real estate property
28%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4623.52.180.26Germany
461--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1048F773296063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:SfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz62bMy8Oldm:JhoC9JSqzzbs6o3Sj3gcrs22eA0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184596:0KLB3ZAgNgGABBkISQBUgAPJIEQCQSABDLHgQUnhHHa1goo3wEBdC0iggh0IfwCkEEkAKSAx6KAFgzwpQKwCAIkycJAAqgoF

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#d2592d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data