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Security Scan Report: ios-invoice13-upuha7snlw.edgeone.app

Submitted: Apr 5, 2026, 2:09:48 PMCompleted: Apr 5, 2026, 2:11:08 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is ios-invoice13-upuha7snlw.edgeone.app and was registered NaN years ago.

Submitted URL: https://ios-invoice13-upuha7snlw.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Site impersonates Apple Pay on a brand‑new subdomain; treat as confirmed scam.

Risk Factors
Brand impersonation of Apple on an unrelated domain
Subdomain on a free hosting platform with unknown creation date
Domain age < 90 days mimicking a well‑known brand
Low Cisco Umbrella ranking for a major brand
Domain age information unavailable

Details

Page Title

Apple Pay

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(63%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ios-invoice13-upuha7snlw.edgeone.app' is registered; it also runs on subdomain 'ios-invoice13-upuha7snlw'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ios-invoice13-upuha7snlw.edgeone.app/

Page Load Overview

1.98s
Total Load Time
3
HTTP Requests
2
Domains
5 KB
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
Text Length:1,328 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking63% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
63%
technology software
49%
documentation technical
28%
corporate business
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.15.59.240United States
AS14907Wikimedia Foundation Inc.
143.152.26.58Singapore
AS139341ACE
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0D1449BAB9301822D4390DC2BB243176266E01BB70BC9F53EADD1ACCF419E5C97764C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VRUiHRl4Rm9QZnRnSbxaF08Otn2BitiMiNiT0rd:VRk9S58OgBitiMiNigrd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6511:tAIMRwDheDOEeKAAARQxAgZECFAAIBAACAAIAAEkAemsgBQIYABGDQA4KQKDchECCGSk4tEpm2gDGI6EgjhmENFCAQAoIgQM

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:19181818181818ff
Perceptual Hash:8833b346b35cb366
Difference Hash:3131b1b1b1b131b1
Wavelet Hash:3f191919191919ff
Color Hash:#c58796

Other Hashes

Crop Resistant:3131b1b1b1b131b1,3131b1b1b1b131b1

Scan History

Scan history not available

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