Security Scan Report: established-rose-wcv24zfrxf-oy1r2ximaa.edgeone.app

Submitted: Feb 25, 2026, 9:21:24 AMCompleted: Feb 25, 2026, 9:22:35 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 established-rose-wcv24zfrxf-oy1r2ximaa.edgeone.app and was registered NaN years ago.

Submitted URL: https://established-rose-wcv24zfrxf-oy1r2ximaa.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: 94%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise
Low JavaScript obfuscation (normal minification)
Standard hosting platform (edgeone.app) without red flags
No redirects or external links
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

news media journalism

(28%)

Domain Information

Within the application-focused generic top-level domain (.app), 'established-rose-wcv24zfrxf-oy1r2ximaa.edgeone.app' is registered and includes subdomain 'established-rose-wcv24zfrxf-oy1r2ximaa'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 3 consonants. It segments into 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://established-rose-wcv24zfrxf-oy1r2ximaa.edgeone.app/

Page Load Overview

0.47s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:65 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism28% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
28%
healthcare medical
25%

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

T11D02B5CAEBA705C8A82BC06C2FFB5724222DE057C449CD5DB9AE1F548F0518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBQh1RaXQl:KrzhNK/lMHmGgdkqpd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8726:JAUC1nACBQMQNBWcAU2ItBEqSICEDQRhMFAJKRAKiDOQgYE4IMR0wwOASYcGENbEgTicVQAmSEhaDAhBAAoGCCoCOCeWEEEj

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#2dd272

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data