Security Scan Report: magic-coffee-qfs9fa2zah-b57pm8dro9.edgeone.app

Submitted: Apr 8, 2026, 12:32:46 PMCompleted: Apr 8, 2026, 12:34:23 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is magic-coffee-qfs9fa2zah-b57pm8dro9.edgeone.app and was registered NaN years ago.

Submitted URL: https://magic-coffee-qfs9fa2zah-b57pm8dro9.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Impersonates a Rinox login page on a new subdomain; high risk of phishing.

Risk Factors
Brand impersonation on an unusual, low‑reputation domain
Subdomain on a free hosting platform with unknown creation date
Low domain ranking indicating limited trustworthiness
Domain age information unavailable

Details

Page Title

Login | Rinox

Scan Type

public

Language

🇮🇹

Italian

(22% confidence)

Category

finance banking

(80%)

Domain Information

You're looking at domain 'magic-coffee-qfs9fa2zah-b57pm8dro9.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'magic-coffee-qfs9fa2zah-b57pm8dro9'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Breaking it apart gives 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://magic-coffee-qfs9fa2zah-b57pm8dro9.edgeone.app/

Page Load Overview

0.66s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇮🇹Italian
Code: it
Confidence:22%
Script:Latin
Direction:ltr

Detection Details

Language Code:it
Detection Confidence:22%
Script Type:Latin
HTML Lang Attribute:uz
Text Length:67 chars
Detector Agreement:100%
Language mismatch: Declared as uz but detected as it

Website Classification

Primary Category

finance banking80% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
80%
healthcare medical
62%
government public service
59%
news media journalism
55%
technology software
55%

Detected Features

Login Form

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

T18A411F9999E305462523D2A02FF39B1937A9D427810ACE6D7FCC3298CF467CA94A374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:h9CHcnL/0C3CO6xvF3Rm0OGRxspjimkBpMj1XsuFfc9OFhwM2vWvaZwFgZHifJf3:4nV9JOGYpvPJFfuOYWQwuMJQGXeQUCMk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2306:AgCIBAACAICAQAIAQAoAhgAAABBgAIAAAAAAYAAAAAAAAACAAAIAAAAMACBQYARABAAAQAYOAAAAFAgABAAIAMEEAAAQAAwB

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:f8f8f8f8f8f0c0c0
Perceptual Hash:dd9126a899a363dc
Difference Hash:0000103030100000
Wavelet Hash:f8f8f8f8f8f0c080
Color Hash:#8c79d2

Scan History

Scan history not available

Unable to load historical scan data