Security Scan Report: awful-rose-frsihwjhre-cgtur0lna4.edgeone.app

Submitted: Feb 4, 2026, 9:01:32 PMCompleted: Feb 4, 2026, 9:02:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is awful-rose-frsihwjhre-cgtur0lna4.edgeone.app and was registered NaN years ago.

Submitted URL: https://awful-rose-frsihwjhre-cgtur0lna4.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; site appears legitimate.

Safety Factors
Well-established domain (>2 years)
No credential or payment forms
No external links or redirects
Low ranking but no malicious activity
Page content appears to be a simple file collection
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(36% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'awful-rose-frsihwjhre-cgtur0lna4.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'awful-rose-frsihwjhre-cgtur0lna4'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Segmentation suggests 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://awful-rose-frsihwjhre-cgtur0lna4.edgeone.app/

Page Load Overview

2.86s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:36%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:57 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

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
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

T1FD02C6CAE79306C9A81BC0682FFF6314222DE053C449CD9DB99E1F548F4528875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBo3zh1RaXQl:KrzhNK/lMHmGgdkqh3zd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8774:IEUC3nAyhQMQNBUeAU2AhAAj3ACEDQRwdFAJAAEDirLUBKMKAMR9wwKgTYeCINaAgTicVYCmSEDaBAhBYAI2SCoCOCafAAEB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#1f9321

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data