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Security Scan Report: quaint-coffee-jjksate3s2-vgunb4k2b2.edgeone.app

Submitted: Mar 11, 2026, 3:15:42 PMCompleted: Mar 11, 2026, 3:17:18 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is quaint-coffee-jjksate3s2-vgunb4k2b2.edgeone.app and was registered NaN years ago.

Submitted URL: https://quaint-coffee-jjksate3s2-vgunb4k2b2.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 risk due to unknown subdomain age and low ranking; no malicious activity observed.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low domain ranking in Cisco Umbrella
Safety Factors
No forms or credential collection elements
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Diagnóstico de Operação Digital — VOID

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(71%)

Domain Information

The domain 'quaint-coffee-jjksate3s2-vgunb4k2b2.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'quaint-coffee-jjksate3s2-vgunb4k2b2'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. Word splitting yields two 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://quaint-coffee-jjksate3s2-vgunb4k2b2.edgeone.app/

Page Load Overview

8.16s
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:837 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
43%
adult content
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.251.143.106Singapore
AS139341
043.152.26.58Singapore
AS139341ACE
0142.251.127.94Singapore
AS139341
13--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13943B721A0B1113294634D5132B65F6F2A10E107DD0FDA98B96D4AC58FF7EE2EE236C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:xTCknv1Faf3HFGPEnsFKlM4R8OVwGIVJc8F35rd/7/AfEizA/ADgLp8T:w41Enssqc8b1X/5Lp8T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58860:4pCGikmjAAFCDB9kShHHQESjGgLR4wgIMADAXGDH4EfCDREgQ0CsEyBQ6wVCoklABFiE4UEQGMUgCRCTFAEChDi4yLECCokI

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:18181818183c1800
Perceptual Hash:cc64319333cdcecc
Difference Hash:1010303060603010
Wavelet Hash:3838383c3c3c3c3c
Color Hash:#2dd2b7

Other Hashes

Crop Resistant:1010303060603010

Scan History

Scan history not available

Unable to load historical scan data