Security Scan Report: frail-rose-wmx7qrnvag-qql49kkj3k.edgeone.app

Submitted: Feb 16, 2026, 6:41:38 AMCompleted: Feb 16, 2026, 6:43:06 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 frail-rose-wmx7qrnvag-qql49kkj3k.edgeone.app and was registered NaN years ago.

Submitted URL: https://frail-rose-wmx7qrnvag-qql49kkj3k.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 suspicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Low ranking does not alone indicate maliciousness
Domain age information unavailable

Details

Page Title

frail-rose-wmx7qrnvag-qql49kkj3k.edgeone.app

Scan Type

public

Language

🇩🇰

Danish

(50% confidence)

Category

technology software

(70%)

Domain Information

The domain name 'frail-rose-wmx7qrnvag-qql49kkj3k.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'frail-rose-wmx7qrnvag-qql49kkj3k'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://frail-rose-wmx7qrnvag-qql49kkj3k.edgeone.app/

Page Load Overview

3.14s
Total Load Time
4
HTTP Requests
3
Domains
84 KB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:81 chars
Detector Agreement:100%
Language mismatch: Declared as fr but detected as da

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
69%
cryptocurrency blockchain
36%
government public service
34%

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

T18D048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszO2bMy8OldS:/hoC9JSqzzbs6o3Sj3gcrsa2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184611:AtIYTQMCkTjpUxXAqBDKALaCkBNt8CJUEJVMCKGxBClUzDAOAs4AYgsAAAXgYDBqEkICBh0oIgCkMRcGAILA0CUi4FMhBQAk

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:00181c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#671f93

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data