Security Scan Report: unable-coffee-tfpnwsinyv-pj3pq8sbhc.edgeone.app

Submitted: Apr 6, 2026, 3:55:32 PMCompleted: Apr 6, 2026, 3:56:49 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is unable-coffee-tfpnwsinyv-pj3pq8sbhc.edgeone.app and was registered NaN years ago.

Submitted URL: https://unable-coffee-tfpnwsinyv-pj3pq8sbhc.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; site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Low JavaScript obfuscation, no malware signatures
Standard hosting without IPFS or cloud storage
Domain age information unavailable

Details

Page Title

ZOROxIOSxVIPpanel

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(61%)

Domain Information

The domain name 'unable-coffee-tfpnwsinyv-pj3pq8sbhc.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'unable-coffee-tfpnwsinyv-pj3pq8sbhc'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unable-coffee-tfpnwsinyv-pj3pq8sbhc.edgeone.app/

Page Load Overview

0.44s
Total Load Time
2
HTTP Requests
1
Domains
51 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
Text Length:157,118 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical61% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
61%
technology software
57%

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

T120F3BB24C92C4CB900A9A13998BEA64769708157CC5A3D28BB9C910C5F5E73F31FAFDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0xq9OOxe3wBs8dAC83MdRp2PJZxYivv6m:H9Oiews8dAC83KRp2nxYKv6m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:162525:CIA4AIRgBICHgEAsAYUCgRQRUAXCJYjuKNAnrQUAn2QPoL5RFaAAwY1koFAeCoRiwHtBBpUNiQAASQAAwUgAjXCBCpZaJxYJ

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:1818180000000000
Perceptual Hash:cccccc6633333333
Difference Hash:3030300000000000
Wavelet Hash:3c3c3c0000000000
Color Hash:#75bf40

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data