Security Scan Report: whole-coffee-2c8bmmjrwa-2m07etcu9l.edgeone.app

Submitted: Feb 28, 2026, 8:24:36 PMCompleted: Feb 28, 2026, 8:25:52 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is whole-coffee-2c8bmmjrwa-2m07etcu9l.edgeone.app and was registered NaN years ago.

Submitted URL: https://whole-coffee-2c8bmmjrwa-2m07etcu9l.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No forms detected
No malicious Indicators of Compromise
No JavaScript malware detected
Hosted on a known platform (edgeone.app)
No brand or credential collection present
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'whole-coffee-2c8bmmjrwa-2m07etcu9l.edgeone.app' is registered with subdomain 'whole-coffee-2c8bmmjrwa-2m07etcu9l'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Word splitting yields two 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://whole-coffee-2c8bmmjrwa-2m07etcu9l.edgeone.app/

Page Load Overview

0.63s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:79 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

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

T11732A7C5EFE61ACCA41BC0685FBF5729262DE013D449C95CB5AE0F648F45188B4FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBMQh3Eh3Mh3Ih1RaXQl:KrzhNK/lMHmGgdkqiSCGd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11324:IwVCV3IkJRMQNBQEIwWgwAACKACsCQ0okFINQYBKqDJQSZtYQIA0w1CgXQVHJMaAgTqeRYBkSEbaBChAaUImCCoAPCYGAMUB

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:dcfcfcfcc0808000
Perceptual Hash:de9a3869289ac367
Difference Hash:3030706000000000
Wavelet Hash:dcfcfcfcc0e0c0c0
Color Hash:#2d6fd2

Other Hashes

Crop Resistant:3030706000000000

Scan History

Scan history not available

Unable to load historical scan data