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Security Scan Report: ethical-coffee-haoyzatybf-owg549bgja.edgeone.app

Submitted: Mar 29, 2026, 9:48:25 AMCompleted: Mar 29, 2026, 9:49:37 AMpubliccompleted
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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 ethical-coffee-haoyzatybf-owg549bgja.edgeone.app and was registered NaN years ago.

Submitted URL: https://ethical-coffee-haoyzatybf-owg549bgja.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%

1
Risk Score

No malicious Indicators of Compromise or suspicious behavior detected; site appears benign.

Safety Factors
Standard hosting platform with no known malicious activity
Absence of credential or payment collection forms
No external domains referenced
Page title indicates a file collection, not a login or payment page
No network IDS alerts detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(54%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ethical-coffee-haoyzatybf-owg549bgja.edgeone.app' is registered, featuring subdomain 'ethical-coffee-haoyzatybf-owg549bgja'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. It segments into 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://ethical-coffee-haoyzatybf-owg549bgja.edgeone.app/

Page Load Overview

0.16s
Total Load Time
2
HTTP Requests
1
Domains
7 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:72 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical54% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C712E8CAEBE705C9A81BC0682FFF5725222DE057C449C94DB9AE0F648F4518875FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBLIhwIh1RaXQl:KrzhNK/lMHmGgdkqh9d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9630:IDUD1nAiBSNQNBUUIU2AhAIiKQaETQRAMFAPACAryTAQAIEMDMQ0wxOBKZcCQcaAgTicVwImTEF6BgxhAAJGqCqCOGaeAAEF

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:dcfcfce0c0808000
Perceptual Hash:de9a98386c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#cc79d2

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data