Security Scan Report: western-apricot-rtkvab0283-woi6imy4v2.edgeone.app

Submitted: Feb 26, 2026, 5:21:09 AMCompleted: Feb 26, 2026, 5:22:18 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 western-apricot-rtkvab0283-woi6imy4v2.edgeone.app and was registered NaN years ago.

Submitted URL: https://western-apricot-rtkvab0283-woi6imy4v2.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

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
No JavaScript malware detected
Hosted on a known hosting platform (edgeone.app)
No external domains or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇭🇺

HU

(50% confidence)

Category

documentation technical

(74%)

Domain Information

Domain 'western-apricot-rtkvab0283-woi6imy4v2.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'western-apricot-rtkvab0283-woi6imy4v2'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Segmentation 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://western-apricot-rtkvab0283-woi6imy4v2.edgeone.app/

Page Load Overview

1.12s
Total Load Time
2
HTTP Requests
1
Domains
8 KB
Total Size

Language Analysis

Primary Language

🇭🇺Hungarian
Code: hu
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hu
Detection Confidence:50%
Script Type:Unknown
HTML Lang Attribute:zh
Text Length:1,143 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as hu

Website Classification

Primary Category

documentation technical74% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
74%
cryptocurrency blockchain
73%
technology software
71%
healthcare medical
58%
finance banking
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10453F0509FF82FDCA41F81059B7D7F3B6A296003B58D01D875AD0EB09F8984AE4FB4A5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wNIqKzhfBb5RAGnx593z3DZLBblPjJyXCy8XydMyWlR9z5zThxPThThzpTdXnhvv:wSqKzhfBb5R/x593z3DZLBblPjJyXCyI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60819:AAi5qAEQIJRokOuIAoEi1BKAQIA7DzAqAwoMMUFNAEVXyIAYgMICwDtAxCECZtzoiFMwQhtS1gAQ4k+gpkCokCLHMQYkRckl

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:1c1c1c1c1c1c1c1c
Perceptual Hash:da74743c28a8e3e3
Difference Hash:303031313131b1b1
Wavelet Hash:dcdcdcdc1c1c1c1c
Color Hash:#9953ac

Other Hashes

Crop Resistant:303031313131b1b1

Scan History

Scan history not available

Unable to load historical scan data