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Security Scan Report: apps.apple.com

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Submitted: Mar 4, 2026, 6:13:58 PMCompleted: Mar 4, 2026, 6:15:25 PMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 7 domains to perform 1 HTTP transaction. The main domain is apps.apple.com and was registered NaN years ago.

Submitted URL: https://apps.apple.com/us/app/egencia/id446768364

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Apple App Store page for the Egencia app.

Safety Factors
High domain reputation (Cisco Umbrella top 20)
Official Apple App Store hosting
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
Domain age information unavailable

Details

Page Title

‎Egencia App - App Store

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(39%)

Domain Information

Domain 'apps.apple.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'apps'. The core label 'apple' covers 5 characters holding two vowels versus three consonants. Word splitting yields 1 word: apple. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://apps.apple.com/us/app/egencia/id446768364

Page Load Overview

1.48s
Total Load Time
66
HTTP Requests
7
Domains
2.9 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:18,054 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
39%
corporate
35%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11146.75.123.6Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1117.253.57.200Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
1117.253.57.202Frankfurt am Main, Hesse, Germany
AS6185Apple Inc.
1123.52.180.26Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1123.52.180.240Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1123.67.129.147Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
666--

Detected Technologies3

X-UA-Compatible
100%
HTTP/3
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1124494B26220313641A78EDDBA312B85E1DFD1DCCE6605E1A7F8C3A5AFC6CD0FA05564

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bH3yFNWxnJr8moJqSgzEjRAoRtjIUYs1iGfOYVX++KbKSsMd8m28esCvJ64hbjl+:X18mOj9XGfIcxCvSvX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:264296:PAi4TkBbgCAoA0hhck0LIACNqskqYqA8AQooyDD8GACAoc/CUSTKEAAFkAAQ7JAJAgEhBmZlSbKeYIQAsABB2AaQwuSYFkAM

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:e0c0c0fff797efff
Perceptual Hash:e261613e86839e5f
Difference Hash:878707fa25251d29
Wavelet Hash:c0c080ffa297c7f5
Color Hash:#862d7b

Other Hashes

Crop Resistant:878707fa25251d29,0f0f0f0f0f0f0f0f

Scan History

Scan history not available

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