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Security Scan Report: automatic-rose-u34ltnemru-xu53nroatm.edgeone.app

Submitted: Apr 1, 2026, 5:08:24 AMCompleted: Apr 1, 2026, 5:09:31 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 automatic-rose-u34ltnemru-xu53nroatm.edgeone.app and was registered NaN years ago.

Submitted URL: https://automatic-rose-u34ltnemru-xu53nroatm.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

No malicious activity detected; subdomain is new and unranked but appears benign.

Risk Factors
Subdomain on .edgeone.app hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware detected by YARA
No network IDS alerts detected
Standard hosting platform subdomain without suspicious content
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(62%)

Domain Information

The domain 'automatic-rose-u34ltnemru-xu53nroatm.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'automatic-rose-u34ltnemru-xu53nroatm'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Segmentation suggests 2 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://automatic-rose-u34ltnemru-xu53nroatm.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:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:70 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical62% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
62%
healthcare medical
38%
news media journalism
37%
government public service
30%
real estate property
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E12D8C9EBE306C8A81BC0682FFF5725222DE057D448C94CB99E0F648F05184B5FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBIh6h1RaXQl:KrzhNK/lMHmGgdkqhUd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9618:KhWi1vASBTNQNBUVAW2AhAAiCACETURAMNALAAQiiTIQgIEIAMQ0wyOgSYeCRcaAgTjcVwKuTFV6xA1BIQJmqC4GOmbWAAEB

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:dcfcfce0c0808000
Perceptual Hash:de9a98386c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#c5879c

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data