Security Scan Report: natural-coffee-xhvby2wlxh-rjlsims7s3.edgeone.app

Submitted: Mar 14, 2026, 3:26:44 PMCompleted: Mar 14, 2026, 3:27:51 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 natural-coffee-xhvby2wlxh-rjlsims7s3.edgeone.app and was registered NaN years ago.

Submitted URL: https://natural-coffee-xhvby2wlxh-rjlsims7s3.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 85%

4
Risk Score

Moderate suspicion due to new subdomain on edgeone.app; no active threats detected.

Risk Factors
New or unknown-age subdomain on a free hosting platform
Low ranking in Cisco Umbrella (outside top 100k)
Unusual OCR text suggesting non‑standard content
Safety Factors
No malicious Indicators of Compromise detected
No JavaScript malware patterns
No credential or payment collection forms
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(39% confidence)

Category

cryptocurrency blockchain

(62%)

Domain Information

The domain 'natural-coffee-xhvby2wlxh-rjlsims7s3.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'natural-coffee-xhvby2wlxh-rjlsims7s3'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Breaking it apart gives 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://natural-coffee-xhvby2wlxh-rjlsims7s3.edgeone.app/

Page Load Overview

0.42s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:39%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:39%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:904 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

cryptocurrency blockchain62% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
62%
documentation technical
56%
healthcare medical
56%
news media journalism
56%
adult content
54%

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

T126A25181EFE42FDC741FC154AB7EEB3A25286043D44D459CB9AE0F709F88985E4BB1A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KrzhNK/lMHmGgdkqp2oBs8sokTgwhW9nLEIByb+ea5j79tFNtHd:shNIMi+62oBs8sokTgwhW9nLEIByb+e+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23302:ZBVAXVQQhANIGiCCQEGhSJsq3AAkGERhFJYOAkl7CDIUAaI4wqQgwEABDzEEbIQEhCC8xgCkTM0xhI4oIBAmoHQANIGGBpE3

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:9c9c2c3c2c3c1c3c
Perceptual Hash:d2748c7c6c896763
Difference Hash:3038484868787171
Wavelet Hash:dcfcbc3c1c1c1c1c
Color Hash:#d2a12d

Other Hashes

Crop Resistant:3038484868787171

Scan History

Scan history not available

Unable to load historical scan data