Security Scan Report: royal-azure-p79yeaj1r9-0zgc8fbby6.edgeone.app

Submitted: Feb 22, 2026, 1:22:35 AMCompleted: Feb 22, 2026, 1:23:54 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is royal-azure-p79yeaj1r9-0zgc8fbby6.edgeone.app and was registered NaN years ago.

Submitted URL: https://royal-azure-p79yeaj1r9-0zgc8fbby6.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: 95%

0
Risk Score

No security concerns detected; the site appears benign.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Page appears to be a simple error/apology page (title: "maaf krdo πŸ˜­πŸ™")
Hosted on edgeone.app, a legitimate hosting platform
Domain age information unavailable

Details

Page Title

royal-azure-p79yeaj1r9-0zgc8fbby6.edgeone.app

Scan Type

public

Language

🏳️

SO

(28% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'royal-azure-p79yeaj1r9-0zgc8fbby6.edgeone.app' is registered with subdomain 'royal-azure-p79yeaj1r9-0zgc8fbby6'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Splitting it apart reveals 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://royal-azure-p79yeaj1r9-0zgc8fbby6.edgeone.app/

Page Load Overview

0.92s
Total Load Time
8
HTTP Requests
5
Domains
51 KB
Total Size

Language Analysis

Primary Language

🏳️SO
Code: so
Confidence:28%
Script:Unknown
Direction:ltr

Detection Details

Language Code:so
Detection Confidence:28%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:142 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as so

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.152.26.58Singapore
81--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszQ2bMy8Oldc:nhoC9JSqzzbs6o3Sj3gcrsc2eAC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184616:FgosAcHYKcwxAmGIKEgEaFQAIAjGFYQwAAqAAmmgKDGpAnEphGKB/FHQJgUDXQS2AVIgK4AAqGOVUBSCsFJ4IwiAxUmBCIms

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:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c40f0f0f0f
Color Hash:#c58b87

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data