Security Scan Report: unconscious-coffee-dbgxunm1kq-a2ytxcqeno.edgeone.app

Submitted: Feb 10, 2026, 1:50:39 PMCompleted: Feb 10, 2026, 1:52:10 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is unconscious-coffee-dbgxunm1kq-a2ytxcqeno.edgeone.app and was registered NaN years ago.

Submitted URL: https://unconscious-coffee-dbgxunm1kq-a2ytxcqeno.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: 95%

0
Risk Score

No security concerns detected; site appears legitimate but is currently unreachable.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
No external links or redirects
Site currently unreachable (no content to analyze)
Domain age information unavailable

Details

Page Title

unconscious-coffee-dbgxunm1kq-a2ytxcqeno.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

The domain 'unconscious-coffee-dbgxunm1kq-a2ytxcqeno.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'unconscious-coffee-dbgxunm1kq-a2ytxcqeno'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Segmentation suggests 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://unconscious-coffee-dbgxunm1kq-a2ytxcqeno.edgeone.app/

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:852 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
43%
adult content
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8OldK:MhoC9JSqzzbs6o3Sj3gcrso2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184651:TBTG5AAUkCAB0MQ5MQiMNOQukIiCOBEyRN1LATXVaQgSAEqKJo6RwBOQn1glwJiGFrFMYAGAEhAojIUBKIJoBiCJc2IQWBDI

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:ffcfc3c7ffffffff
Perceptual Hash:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#6ce06e

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data