Security Scan Report: blind-amethyst-mwzacymkka-wkcldn3n6b.edgeone.app

Submitted: Feb 23, 2026, 11:53:35 AMCompleted: Feb 23, 2026, 11:54:58 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is blind-amethyst-mwzacymkka-wkcldn3n6b.edgeone.app and was registered NaN years ago.

Submitted URL: https://blind-amethyst-mwzacymkka-wkcldn3n6b.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

New subdomain with login form; classified as confirmed scam.

Risk Factors
New subdomain (<7 days) hosting a credential collection form
Lack of additional legitimate site content or functionality
Potential credential harvesting on an unestablished domain
Domain age information unavailable

Details

Page Title

SPIN Beta · IT/中文

Scan Type

public

Language

🇮🇹

Italian

(80% confidence)

Category

technology software

(85%)

Domain Information

Domain 'blind-amethyst-mwzacymkka-wkcldn3n6b.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'blind-amethyst-mwzacymkka-wkcldn3n6b'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Segmentation suggests 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://blind-amethyst-mwzacymkka-wkcldn3n6b.edgeone.app/

Page Load Overview

1.17s
Total Load Time
2
HTTP Requests
1
Domains
19 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:it
Text Length:49,058 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
78%
government public service
56%
cryptocurrency blockchain
38%
corporate business
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141246BF7D22710BE72CBA67966DA51A1A583FA026C9BE471FB5FD0040B8C3DC35E5248

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tGwxdIR/sijIWL37dIR/sijIWLccIR/sijIWL3x5qU15S:hKZjIErKZjIEaZjIEA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:210854:wBIU4CkA0wIiAizFiYNQDSgpQCsFiJBpJARIQAGCgUEgiUlAAkZeCDOTgDbB6AKohAUeESBhGIGFDMBSIKQHxATIiFMHpRIw

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:707c7c3c3e3e3e00
Perceptual Hash:c7c078b53cce3938
Difference Hash:c0c1e0e0e868681e
Wavelet Hash:707c7c3c3e3e3e00
Color Hash:#2dd277

Other Hashes

Crop Resistant:c0c1e0e0e868681e

Scan History

Scan history not available

Unable to load historical scan data