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Security Scan Report: applepay-q36iftgmrb.edgeone.app

Submitted: Mar 7, 2026, 8:12:10 PMCompleted: Mar 7, 2026, 8:13:28 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 applepay-q36iftgmrb.edgeone.app and was registered NaN years ago.

Submitted URL: https://applepay-q36iftgmrb.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Page mimics Apple Pay on a new edgeone.app subdomain without forms; moderate‑risk brand impersonation.

Risk Factors
Brand impersonation on a non‑official, low‑rank domain
New/unknown subdomain creation date
Low Cisco Umbrella ranking for a major brand
Content mimics an Apple Pay payment receipt
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No JavaScript malware patterns or credential exfiltration
No network IDS alerts
Domain age information unavailable

Details

Page Title

Apple Pay

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(58%)

Domain Information

Domain 'applepay-q36iftgmrb.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'applepay-q36iftgmrb'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Breaking it apart gives two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://applepay-q36iftgmrb.edgeone.app/

Page Load Overview

0.41s
Total Load Time
3
HTTP Requests
2
Domains
3 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:1,320 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking58% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
58%
technology software
50%
cryptocurrency blockchain
31%
corporate business
31%

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

T16CD1659BAB9301422D4390DC2BB243176262E45BB70BC9F53EADD1ACCF429E585B774C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VRUiHRl4Rm9QZnRnYbxcF08mtn2zitiMiNiP0xW:VRk9YH8mgzitiMiNicxW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6611:oAglRQFBBAtuEKgCQkQQAAdEKLQAAJRECQBIACJFAmCECBZOIYxWBAkBKKmHswAASASEgsFokUATIooCgkCGVARSRcGYIAQE

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:1f191919191919ff
Color Hash:#64862d

Other Hashes

Crop Resistant:3131b1b1b1b131b1,3131b1b1b1b131b1

Scan History

Scan history not available

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