Security Scan Report: attractive-gold-kcnfmlygso-qwfgi8xu50.edgeone.app

Submitted: Jan 18, 2026, 1:24:36 PMCompleted: Jan 18, 2026, 1:26:05 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is attractive-gold-kcnfmlygso-qwfgi8xu50.edgeone.app and was registered NaN years ago.

Submitted URL: https://attractive-gold-kcnfmlygso-qwfgi8xu50.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate e‑commerce site; no threats detected.

Safety Factors
Well‑established domain (>2 years)
No malicious Indicators of Compromise
No forms collecting passwords or payment data
Standard e‑commerce product listing
Hosted on a regular web platform (edgeone.app) without suspicious configurations
Domain age information unavailable

Details

Page Title

Trend Hive | Official Store

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(95%)

Domain Information

The domain name 'attractive-gold-kcnfmlygso-qwfgi8xu50.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'attractive-gold-kcnfmlygso-qwfgi8xu50'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Word splitting yields 2 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://attractive-gold-kcnfmlygso-qwfgi8xu50.edgeone.app/

Page Load Overview

2.91s
Total Load Time
4
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:270 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping95% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
95%
entertainment media
81%
cryptocurrency blockchain
75%
technology software
70%
adult content
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155916652A1F4C52011EF81F0A565598C7DB1C317C94F8144FAACB7F9AF9E98EC22328D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TqK3xyXZRYpPVD6v7msttzijhGHimHayKEs:R8X4FkPzivmHayKj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4237:QQAEIQAkQAACAIABMZOQQEA4I4AEIAZEACAYAJIDoCSQIAhAaMhAaAQoEAEBCEYBKARAABAIUIAACEACCIACAAAAAyNGIYGA

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:007e7e0000000000
Perceptual Hash:c6c6ce6d39383c86
Difference Hash:33e8e00340000000
Wavelet Hash:ffff7e1800000000
Color Hash:#53ac6b

Scan History

Scan history not available

Unable to load historical scan data