Security Scan Report: app-applonk-9ul5t65c37.edgeone.app

Redirected to: https://app-applonk-9ul5t65c37.edgeone.app/details.html

Submitted: Mar 26, 2026, 2:17:19 AMCompleted: Mar 26, 2026, 2:18:32 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is app-applonk-9ul5t65c37.edgeone.app and was registered NaN years ago.

Submitted URL: https://app-applonk-9ul5t65c37.edgeone.app/

Effective URL: https://app-applonk-9ul5t65c37.edgeone.app/details.htmlRedirected

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Impersonates Apple on a brand‑new hosting subdomain; confirmed scam.

Risk Factors
Brand impersonation of Apple on a brand‑new subdomain
Domain age less than 7 days (critical new domain)
Low reputation ranking for a well‑known brand
Subdomain on a generic hosting platform (.edgeone.app)
Domain age information unavailable

Details

Page Title

Receipt from Apple

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(49%)

Domain Information

Within the application-focused generic top-level domain (.app), 'app-applonk-9ul5t65c37.edgeone.app' is registered with subdomain 'app-applonk-9ul5t65c37'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app-applonk-9ul5t65c37.edgeone.app/

Page Load Overview

0.87s
Total Load Time
8
HTTP Requests
2
Domains
120 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:580 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping49% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

e-commerce shopping
49%
finance banking
34%
corporate business
27%
technology software
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
4104.16.79.73United States
82--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B62429BBAF311633847A5B4A7BB6B566260D103D00BCE683F9C9394CF86A949C5374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:IePz2zpJ1NeXPhtm2rERyJKQy4mBmlTnyyFTosm0Hby:mzbgPmzymBM5FT/mKy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14953:AhuOECFwBhpGRQAXBA4QVQEJB66SCEoZEAUkCBYYAKXhlBrKUlQEBEAQiyK6BUIQOuSogFITIAQ+PCFD4C02RMIALogcMKkC

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:243c3c1c3e0c3c3c
Perceptual Hash:d3772631353199cc
Difference Hash:0e68685030584440
Wavelet Hash:003c3c3c1c2c3d3d
Color Hash:#e06cb7

Other Hashes

Crop Resistant:0e68685030584440

Scan History

Scan history not available

Unable to load historical scan data