Security Scan Report: ill-coffee-lynnp3toga-qgpjjoqy04.edgeone.app

Submitted: Mar 10, 2026, 3:52:11 AMCompleted: Mar 10, 2026, 3:53:33 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 11 HTTP transactions. The main domain is ill-coffee-lynnp3toga-qgpjjoqy04.edgeone.app and was registered NaN years ago.

Submitted URL: https://ill-coffee-lynnp3toga-qgpjjoqy04.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

Internal dashboard on a hosting subdomain; no malicious signs but unknown subdomain age warrants caution.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Content appears to be a legitimate internal dashboard
Domain age information unavailable

Details

Page Title

Dashboard Operacional - BLD

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

documentation technical

(54%)

Domain Information

Within the application-focused generic top-level domain (.app), 'ill-coffee-lynnp3toga-qgpjjoqy04.edgeone.app' is registered with subdomain 'ill-coffee-lynnp3toga-qgpjjoqy04'. The second-level label 'edgeone' is 7 characters long holding four vowels versus three 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://ill-coffee-lynnp3toga-qgpjjoqy04.edgeone.app/

Page Load Overview

0.74s
Total Load Time
11
HTTP Requests
5
Domains
517 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-br
Text Length:2,759 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical54% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
54%
government public service
53%
technology software
51%
cryptocurrency blockchain
48%
corporate business
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.141.131United States
AS15169Google LLC
2104.17.24.14United States
2142.251.141.106United States
AS15169Google LLC
2104.16.174.226United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
115--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192E3D1582F9CD7A5A73281443F975B2628ACF423390DEFA4B9BDA52C0F8A7917137C44

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:pER28sYutei7CLz0DTy5ikEwE14qLqddR8161/PAIYx7ogWxKvg49NtGO/4LZepG:39MZv+cWK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:156335:CArHmgABAuYACYAREXjMUYCfghEHGIAeIgBpGSxAIKEhUkSBoJgEkAkGACHqHCgBZItsAFlAbBA0DDURQgTEATqCIiJhvhIB

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:0000ffffed34ffff
Perceptual Hash:bb603c4a31cc5ef1
Difference Hash:01c900aa55556516
Wavelet Hash:0000ffff2d20bd8f
Color Hash:#861f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data