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Security Scan Report: lioraaslwlystoreid-v0fjrlwrap.edgeone.app

Submitted: Mar 23, 2026, 1:44:29 PMCompleted: Mar 23, 2026, 1:45:41 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is lioraaslwlystoreid-v0fjrlwrap.edgeone.app and was registered NaN years ago.

Submitted URL: https://lioraaslwlystoreid-v0fjrlwrap.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%

4
Risk Score

No malicious activity detected; site appears benign but is a newly created subdomain on a hosting platform.

Risk Factors
Subdomain on a free hosting platform with unknown age (moderate suspicion)
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Uses reputable external resources (fonts.googleapis.com, fonts.gstatic.com, soundjay.com)
Domain age information unavailable

Details

Page Title

Lioraá || StoreID N9.

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

documentation technical

(98%)

Domain Information

The domain name 'lioraaslwlystoreid-v0fjrlwrap.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'lioraaslwlystoreid-v0fjrlwrap'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Breaking it apart gives 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lioraaslwlystoreid-v0fjrlwrap.edgeone.app/

Page Load Overview

1.61s
Total Load Time
8
HTTP Requests
4
Domains
64 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:364 chars
Detector Agreement:33%

Website Classification

Primary Category

documentation technical98% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
98%
technology software
91%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.201.170United States
AS15169
2142.251.141.131United States
AS139341
243.152.26.58Singapore
AS139341ACE
2192.163.208.117United States
AS46606Unified Layer
84--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B492198331E121110AE791D137DBA74E31286107EE85CE5D7D5C4AC0CF8EBB695ABB8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:yzTI/5YbSxrTIUUuba/A1TlWp+JEErXZp:yzMBYmla/ARIpqVp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19863:FUSJYwGqDoQIDBBOYAQ1aUJakxEAMTIhgOQ/KBJwSoRYic0DcAQAlZAIp9AIBL4Ce0FggIpoUSCI0EGAREAAEAogJcCYK5KG

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:0000181818180000
Perceptual Hash:99cc663399cc6699
Difference Hash:1000303030300000
Wavelet Hash:00003c3c3c3c0000
Color Hash:#cae06c

Other Hashes

Crop Resistant:1000303030300000

Scan History

Scan history not available

Unable to load historical scan data