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Security Scan Report: better-rose-qrhwilcmvl-cxfxre1sv2.edgeone.app

Submitted: Mar 17, 2026, 6:37:33 AMCompleted: Mar 17, 2026, 6:38:54 AMpubliccompleted
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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 better-rose-qrhwilcmvl-cxfxre1sv2.edgeone.app and was registered NaN years ago.

Submitted URL: https://better-rose-qrhwilcmvl-cxfxre1sv2.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site shows no malicious activity; low risk but new subdomain warrants caution.

Risk Factors
New subdomain on a free hosting platform with no established reputation
Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise detected
JavaScript obfuscation score low (standard minification)
No cross‑origin credential exfiltration or suspicious network activity
Content appears to be a legitimate cyber‑cafe service offering
Domain age information unavailable

Details

Page Title

RAJU COMPUTER - Cyber Cafe

Scan Type

public

Language

🇺🇸

English

(54% confidence)

Category

documentation technical

(70%)

Domain Information

Within the application-focused generic top-level domain (.app), 'better-rose-qrhwilcmvl-cxfxre1sv2.edgeone.app' is registered; it also runs on subdomain 'better-rose-qrhwilcmvl-cxfxre1sv2'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside three consonants. Breaking it apart gives 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://better-rose-qrhwilcmvl-cxfxre1sv2.edgeone.app/

Page Load Overview

0.32s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:54%
Script Type:Latin
Text Length:478 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical70% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
70%
education learning
65%
government public service
63%
technology software
59%

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

T1384177AAB5823203737B96B1FE33165A6489C023C93BA58450F7453DE2D0C0BE57922E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:haprggwOvPECKdf/Kgvwez0PuoR290xoeVbsLSNYVLU4vVtRFJf4uTaE4p64iVFp:wpENdZvrIjRO0xpaLJhvrjFrckpLmyR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2050:AKQoAAAACAAAACISACQEIAgEhACAAwAAAAAAWAgAgAgAACAAAQIAQAIgCgIAIAACAgCBAAAACgBIQQAAABAAAABIIAAICAAA

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:00000000ffffffff
Perceptual Hash:8c086add731d0cf7
Difference Hash:3173b3f78c26480c
Wavelet Hash:00000000ffffffff
Color Hash:#e06cd2

Other Hashes

Crop Resistant:3173b3f78c26480c,0911b3313133334f

Scan History

Scan history not available

Unable to load historical scan data