Security Scan Report: architectural-jade-k20lxqcnn3-6mskm2zobe.edgeone.app

Submitted: Apr 22, 2026, 1:07:52 PMCompleted: Apr 22, 2026, 1:09:09 PMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 10 domains to perform 1 HTTP transaction. The main domain is architectural-jade-k20lxqcnn3-6mskm2zobe.edgeone.app and was registered NaN years ago.

Submitted URL: https://architectural-jade-k20lxqcnn3-6mskm2zobe.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: 70%

2
Risk Score

Low risk educational site for nail design; no malicious activity detected.

Risk Factors
Eval() calls (dynamic code execution) without clear malicious purpose
Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts detected
Content appears to be legitimate educational material
Domain age information unavailable

Details

Page Title

Nail Designer – Escola de Unhas Profissionais

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

education learning

(88%)

Domain Information

You're looking at domain 'architectural-jade-k20lxqcnn3-6mskm2zobe.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'architectural-jade-k20lxqcnn3-6mskm2zobe'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Splitting it apart reveals 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://architectural-jade-k20lxqcnn3-6mskm2zobe.edgeone.app/

Page Load Overview

3.86s
Total Load Time
79
HTTP Requests
16
Domains
3.8 MB
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:7,064 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
88%
documentation technical
44%
adult content
35%
healthcare medical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7142.251.110.136United Kingdom
7192.178.183.132United States
AS15169Google LLC
743.152.26.58Singapore
7142.251.127.84United States
AS15169Google LLC
7192.178.183.94United States
AS15169Google LLC
7192.178.183.95United States
AS15169Google LLC
7142.251.20.138UnknownUnknown
7142.251.110.132United States
AS15169Google LLC
745.43.142.4United Kingdom
AS16276OVH SAS
7910--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146840230B662AC3A007385F2645337CE38A89916D59E45F571FE47A7FBD6CD2C52230A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:w53xqAXN15u4n/x6dmCHdbInakNpC0Y4GfNmnqrBqqB78VOHn3U81iaK:qd91rx6dmmxInTpPY4cRHnk81iv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:380527:zoWLBksoVSHUakTYAeF4WgyEFfKYAAHZEWogQiAwMABACEApFCaETYExhoEAKECRBzggEREDipkJEwUBCLNS+MSgsCPSkLUY

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:000000000000ffff
Perceptual Hash:880ad70af74cf333
Difference Hash:717197b397b3310e
Wavelet Hash:3d3d01110111ffff
Color Hash:#79d2a3

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data