Security Scan Report: appletick-8cd9uc3kp7.edgeone.app

Submitted: Feb 7, 2026, 1:33:56 AMCompleted: Feb 7, 2026, 1:35:28 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-8cd9uc3kp7.edgeone.app and was registered NaN years ago.

Submitted URL: https://appletick-8cd9uc3kp7.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: 68%

5
Risk Score

Potential Apple brand impersonation; moderate risk – avoid providing credentials or personal data.

Risk Factors
Brand impersonation on an unusual domain
Low domain ranking for a well‑known brand
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns found
Domain age is 1003 days (well‑established)
No external domains referenced
Domain age information unavailable

Details

Page Title

appletick-8cd9uc3kp7.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(73%)

Domain Information

Within the application-focused generic top-level domain (.app), 'appletick-8cd9uc3kp7.edgeone.app' is registered and includes subdomain 'appletick-8cd9uc3kp7'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Word splitting yields 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://appletick-8cd9uc3kp7.edgeone.app/

Page Load Overview

8.11s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:792 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software73% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
73%
documentation technical
49%
adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ufQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszm2bMy8OldW:dhoC9JSqzzbs6o3Sj3gcrsS2eAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184551:BgyAA0QiDQNYtFiFQAa0CAGMRCEogAJEzDJ7MhK8DaypEOARggwKYoqcm0MsAKnISIg5igAMBggYggaINEMCsGahKIFMpFEC

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:#c5ac87

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data