Security Scan Report: stupid-coffee-w97ux9cnyd-mycw9j7s8t.edgeone.app

Submitted: Feb 4, 2026, 11:34:52 AMCompleted: Feb 4, 2026, 11:36:19 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 stupid-coffee-w97ux9cnyd-mycw9j7s8t.edgeone.app and was registered NaN years ago.

Submitted URL: https://stupid-coffee-w97ux9cnyd-mycw9j7s8t.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 security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain with minimal risk category
Low ranking (455,732) but no other suspicious indicators
No malicious Indicators of Compromise matches
No forms or credential collection
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

Equalizer

Scan Type

public

Language

🏳️

SO

(29% confidence)

Category

unknown

(0%)

Domain Information

The domain 'stupid-coffee-w97ux9cnyd-mycw9j7s8t.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'stupid-coffee-w97ux9cnyd-mycw9j7s8t'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Tokenizing the label suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stupid-coffee-w97ux9cnyd-mycw9j7s8t.edgeone.app/

Page Load Overview

6.81s
Total Load Time
3
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🏳️SO
Code: so
Confidence:29%
Script:Unknown
Direction:ltr

Detection Details

Language Code:so
Detection Confidence:29%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:21 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as so

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ECB12356D5A310329553E0F03BBA170E2E60E007DA0BDD8ABFFC56A95FD29D48C93AD4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ThYW/2sDHcxtRiFeWQi+FPVogmi2NTAi2qCVCEYGmaqJ79wQzm/z+R:NYW/2sDHcxtRiFRQ3FPVHm/NTAi2yf91

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5124:AABETAEw0kkVQAHDGAQIBCBUAIGAnNAQwBIKAQEKADVBhAAABkJEM4oAAbkROAAhIECIAIEGASAAgJgQQqSTAqAAgjEIECjA

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:0000001c3c000000
Perceptual Hash:9966669999666699
Difference Hash:00304cb2b24c3000
Wavelet Hash:0c0c0c3c3f3f0f0f
Color Hash:#c5b287

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data