Security Scan Report: pixieonlineshop-lvrrhz7oms.edgeone.app

Submitted: Dec 18, 2025, 9:03:30 PMCompleted: Dec 18, 2025, 9:03:31 PMpubliccompleted

Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is pixieonlineshop-lvrrhz7oms.edgeone.app and was registered 3 years 4 months ago.

Submitted URL: https://pixieonlineshop-lvrrhz7oms.edgeone.app/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Domain age 953 days (well established)
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Standard hosting without redirects
Domain not flagged in threat intelligence databases
Domain age information unavailable

Details

Page Title

Pixie Shop

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(54%)

Domain Information

Domain 'pixieonlineshop-lvrrhz7oms.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'pixieonlineshop-lvrrhz7oms'. The core label 'edgeone' covers 7 characters split between four vowels and 3 consonants. Tokenizing the label suggests two 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://pixieonlineshop-lvrrhz7oms.edgeone.app/

Page Load Overview

0.49s
Total Load Time
0
HTTP Requests
0
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:737 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
54%

Detected Features

No structural features detected

Page Statistics

0
Requests
0
Unique Domains
0.0 KB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC62EB6598F1105B4143A4D56AA53B1A3FC09607CB0F8A0877BC1BE95FC7E02CD2BBAD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:0L4/NqVpVT9Nk9Gs90s90rOiviCCuhPWj:EaAs6s6rfqzuG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15348:KxQAOM5RlQAADQgUKAkCdUAoiCCEwAIBAGpBMAd02AGlEsJFAAAg7gRgIQqJBkvSAEEADCWYJFYgIGCMYmpBQR4QABKSBKqA

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:ffff007030c0ffdf
Perceptual Hash:cc43ba6b4ec37c11
Difference Hash:6b0ce2e2e2224036
Wavelet Hash:fffe00300000ffdf
Color Hash:#2d867e

Scan History

Scan history not available

Unable to load historical scan data