Security Scan Report: ideal-coffee-vw0fswr7xr-9hsemb583l.edgeone.app

Submitted: Mar 15, 2026, 5:36:51 PMCompleted: Mar 15, 2026, 5:38:05 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is ideal-coffee-vw0fswr7xr-9hsemb583l.edgeone.app and was registered NaN years ago.

Submitted URL: https://ideal-coffee-vw0fswr7xr-9hsemb583l.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

No malicious activity detected; low risk despite brand mention on a new subdomain.

Risk Factors
Brand name "Toyota" displayed on a low‑ranking, newly created subdomain
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
JavaScript obfuscation score low; no malware patterns
Hosted on a standard free‑hosting platform without suspicious scripts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'ideal-coffee-vw0fswr7xr-9hsemb583l.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ideal-coffee-vw0fswr7xr-9hsemb583l'. Count 7 characters in 'edgeone' with four vowels and three consonants. It segments into 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://ideal-coffee-vw0fswr7xr-9hsemb583l.edgeone.app/

Page Load Overview

0.68s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:50 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T17902C6CAEBA705C9A81BC0682FFF5324222DE057C448CD5DB99E1F548F0518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBOkh1RaXQl:KrzhNK/lMHmGgdkqAd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8694:JAUC1nACBQMQNBWcAU2IhBEqSICEDQRBMFAJKBAKiDOQgYE8IMR0wwOAiYcGENbEgTicVQAmSEhaDAhBAAoGCCoCOCeWEAEj

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#78573a

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data