Security Scan Report: everyday-turquoise-z4vjbcvalp-sqawt4xfnv.edgeone.app

Submitted: Mar 8, 2026, 6:08:15 AMCompleted: Mar 8, 2026, 6:09:50 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is everyday-turquoise-z4vjbcvalp-sqawt4xfnv.edgeone.app and was registered NaN years ago.

Submitted URL: https://everyday-turquoise-z4vjbcvalp-sqawt4xfnv.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: 80%

3
Risk Score

No malicious activity detected; low risk due to new subdomain on a hosting platform.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Low Cisco Umbrella ranking (455,732) indicating limited reputation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No network IDS alerts observed
Domain age information unavailable

Details

Page Title

AKASH SVS - MEGA STORE

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

Domain 'everyday-turquoise-z4vjbcvalp-sqawt4xfnv.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'everyday-turquoise-z4vjbcvalp-sqawt4xfnv'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://everyday-turquoise-z4vjbcvalp-sqawt4xfnv.edgeone.app/

Page Load Overview

8.18s
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:852 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
45%
adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13812722661E1357250CBC06179530B1FBB61DA07C50E8B353BAC65D09FCEEB6CD6BA0A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ZOl+/ACxSo0Siw0hETMGaxowovZgklTJg0Mapv+vBvEaiv3PvKv9vwvavfvxvJCe:glKNI4iwkcMrobvZgkBJg0ogBioDVUD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9787:OlFEKhQgACqmgA9o3idEyrB6JRJSSKB2AhAgkAhgCmkAYAAFjJA0IAgqIAJdlkEBABAiCKTC6HyiaFQoCgcUTCDW0L5CmJSh

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:ff183cff80000000
Perceptual Hash:dc8880f6f2a2f2f2
Difference Hash:68f0d0920000c000
Wavelet Hash:ff7effff80800000
Color Hash:#2d6e86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data