Security Scan Report: breezy-coffee-kyoephuhru-euts5s2ee6.edgeone.app

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is edgeone.app and was registered 3 years 6 months ago.

Submitted URL: https://breezy-coffee-kyoephuhru-euts5s2ee6.edgeone.app/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The page shows no credential or payment collection and no brand impersonation; despite being on an unranked free subdomain, risk remains low.

Risk Factors (2)
Unranked domain
Hosted on a free subdomain platform
Safety Factors (3)
No forms collecting credentials or payment data
No brand impersonation
No malicious JavaScript patterns
Domain age information unavailable

Details

Page Title

Applicationother network

Scan Type

public

Domain Name Analysis

You're looking at domain 'breezy-coffee-kyoephuhru-euts5s2ee6.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'breezy-coffee-kyoephuhru-euts5s2ee6'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Application Secure online payment via PayPal $50 ment with PayPal Secure payment » Cree: carl acceptes

Page Load Overview

N/A
Total Load Time
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:120 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce46% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
01--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E21D397E5D3004AB98BE0A01BB297562790C807818FCD647FCC6264CF44AE6C9D374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRhOCC0F/a1iIL8WWwbSa2cl0QWDqXmGUzFyCN/QgsRFPLJYeMJnMWj:Tho1vvua9l03DGQkCWVAV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1436:AEAAAQQAAAAAAQQCIAAgAAAAAAAIAEBAAAACJUAAACAGAAAAAQAAACAQACIAgEAAAAAAAABCAACAAAIAAAAAAAIIJAAAQAAA

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:ffa7a5e7ffffffff
Perceptual Hash:b3339999cc646666
Difference Hash:28284c0800000000
Wavelet Hash:fce4e4c0f0f0f0f0
Color Hash:N/A

Other Hashes

Crop Resistant:28284c0800000000

Scan History

Scan history not available

Unable to load historical scan data