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Security Scan Report: novel-coffee-na4ojbwdsh-odcm294vn4.edgeone.app

Submitted: Mar 15, 2026, 3:29:59 AMCompleted: Mar 15, 2026, 3:31:32 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 13 HTTP transactions. The main domain is novel-coffee-na4ojbwdsh-odcm294vn4.edgeone.app and was registered NaN years ago.

Submitted URL: https://novel-coffee-na4ojbwdsh-odcm294vn4.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: 70%

4
Risk Score

Moderate suspicion due to new subdomain and low ranking, but no malicious activity detected.

Risk Factors
New subdomain on a free hosting platform (creation date unknown)
Low Cisco Umbrella ranking indicating limited reputation
Safety Factors
No malicious Indicators of Compromise detected
No JavaScript malware YARA matches
No credential exfiltration behavior observed
No password or payment fields present
Uses reputable CDN domains (cdnjs.cloudflare.com, fonts.googleapis.com, etc.)
Domain age information unavailable

Details

Page Title

Froxz Store - Reaction Saluran WA

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

adult content

(56%)

Domain Information

The domain name 'novel-coffee-na4ojbwdsh-odcm294vn4.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'novel-coffee-na4ojbwdsh-odcm294vn4'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Splitting it apart reveals two 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://novel-coffee-na4ojbwdsh-odcm294vn4.edgeone.app/

Page Load Overview

1.89s
Total Load Time
11
HTTP Requests
6
Domains
689 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:574 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content56% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
56%
entertainment media
52%

Detected Features

Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.58.206.74Singapore
AS15169
1104.17.24.14United States
AS13335Cloudflare, Inc.
143.152.26.58Singapore
AS139341ACE
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1108.181.20.35Los Angeles, California, United States
AS40676Psychz Networks
1142.251.208.3United States
AS15169Google LLC
116--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12092738669B714526857F4B42FB74B4B3254D013E40AC9583FDC6388CF8AE95ECA3B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:InF9hQofcu7uewd2agoIoI+1WFh4Kuz2t/E4ltDrm3mPCWl5er6yLQRm1E8F1JAA:IF9SFm7vHGwC4lGWYRC0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20187:XAIgoXoJBLBCAoAROIWoM8UIAJSs0aBYKjGEDgdKRSIFFMoQChOYxBESTAEigDgEYEg41HEiHTEEZEJFGIhxB0CAM3AOQeCI

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:ffe7e7ffffffffff
Perceptual Hash:b3339999cccc6466
Difference Hash:124c4d3004000000
Wavelet Hash:3c2c24300f0f0f0f
Color Hash:#3a3c78

Other Hashes

Crop Resistant:124c4d3004000000

Scan History

Scan history not available

Unable to load historical scan data