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Security Scan Report: correct-rose-wz9epnunkf-7ur7zvcgdw.edgeone.app

Submitted: Mar 8, 2026, 4:27:33 PMCompleted: Mar 8, 2026, 4:29:08 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 correct-rose-wz9epnunkf-7ur7zvcgdw.edgeone.app and was registered NaN years ago.

Submitted URL: https://correct-rose-wz9epnunkf-7ur7zvcgdw.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: 78%

5
Risk Score

Moderate risk due to brand names on a new hosting subdomain; no malicious activity observed.

Risk Factors
Brand impersonation on a hosting platform subdomain
Low domain reputation while displaying major brand names
New subdomain with unknown age (potentially freshly registered)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No network IDS alerts
HTTPS connection with no redirects
Domain age information unavailable

Details

Page Title

Aakash Store Service

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

The domain 'correct-rose-wz9epnunkf-7ur7zvcgdw.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'correct-rose-wz9epnunkf-7ur7zvcgdw'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. Splitting it apart reveals 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://correct-rose-wz9epnunkf-7ur7zvcgdw.edgeone.app/

Page Load Overview

8.14s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:834 chars
Detector Agreement:67%

Website Classification

Primary Category

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

All Detected Categories

technology software
70%
documentation technical
42%
adult content
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341ACE
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117B1956B73A3116055EBE0A17A92C73F3570C123EA0146183EDC96D0CFCEDA5A4EB368

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:AltcpRSnrXPf+6XqGG2DT9rJOLHjndUx8hTTmUMrxwEXnAAIPBByO:AltcpAnrXPWaqGG2P9rJaxUx8hnTMry7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5146:CEcCCIQAEIQGIAAEBC30gAMCwAERACQCYDFMSFFoEEQAQAAmGAAEAQgCAIACIIDroAYIEAgnAhCMJBAIRSECCcIADAAaSAAB

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:0000ffffffffffff
Perceptual Hash:8909090b23f6f6f7
Difference Hash:7377002322440000
Wavelet Hash:0000ffffff030000
Color Hash:#bfbb40

Other Hashes

Crop Resistant:7377002322440000,fff7b3f7f7f7f3f7

Scan History

Scan history not available

Unable to load historical scan data