Security Scan Report: appletick-laga36ix1s.edgeone.app

Redirected to: https://appletick-laga36ix1s.edgeone.app/details.html

Submitted: Feb 5, 2026, 8:09:43 AMCompleted: Feb 5, 2026, 8:11:07 AMpubliccompleted
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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 appletick-laga36ix1s.edgeone.app and was registered NaN years ago.

Submitted URL: https://appletick-laga36ix1s.edgeone.app/

Effective URL: https://appletick-laga36ix1s.edgeone.app/details.htmlRedirected

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

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

High‑risk phishing site impersonating Apple; do not provide any information.

Risk Factors
Brand impersonation/typosquatting (Apple branding on unrelated domain)
Low Cisco Umbrella ranking for a site claiming Apple branding
Domain age information unavailable

Details

Page Title

appletick-laga36ix1s.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(34%)

Domain Information

The domain 'appletick-laga36ix1s.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'appletick-laga36ix1s'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside 3 consonants. Breaking it apart gives 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://appletick-laga36ix1s.edgeone.app/

Page Load Overview

8.75s
Total Load Time
17
HTTP Requests
3
Domains
429 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:582 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping34% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
34%
corporate business
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1743.152.26.58Singapore
171--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DA048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:QfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsze2bMy8Olda:bhoC9JSqzzbs6o3Sj3gcrsa2eAI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184551:IyAKCEsAhAGQMMEsKIQBA4FWgAMS4LpG4AIDSQiICgAxKklI0gwY0QGwEAEEkDiQqggzigVWPcRBFBSGAAgCIGCCWUAIAwJC

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:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#3a7844

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data