Security Scan Report: portugol-candido-fw7my7fuhw.edgeone.app

Submitted: Feb 27, 2026, 5:55:55 AMCompleted: Feb 27, 2026, 5:57:13 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 portugol-candido-fw7my7fuhw.edgeone.app and was registered NaN years ago.

Submitted URL: https://portugol-candido-fw7my7fuhw.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

Legitimate educational page with no security concerns.

Safety Factors
No credential or payment forms present
Low JavaScript obfuscation (standard minification)
Hosted on a known platform (edgeone.app) without suspicious scripts
Educational content with no brand impersonation
Domain age information unavailable

Details

Page Title

Aulas de Portugol Web Studio

Scan Type

public

Language

🇵🇹

Portuguese

(48% confidence)

Category

adult content

(41%)

Domain Information

The domain name 'portugol-candido-fw7my7fuhw.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'portugol-candido-fw7my7fuhw'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Word splitting yields 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://portugol-candido-fw7my7fuhw.edgeone.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:48%
Script Type:Latin
Text Length:3,423 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content41% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
41%
education learning
38%
technology software
33%
documentation technical
31%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192D185A45D0D3231466702133DE29E097028F7239F9E66807BAE51D5ABC8A4FC6FD67C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:5s6AnT0NJOw9uPYx1vl38VykSkgxRkSkRpMzJ+P8VsF5aOUdjmMCzcnW2LHmwAey:onT03DvlknHouH4zJju99m//Dgxx9lX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6768:JQDgAIESEBhAFQGAsC4xQoSikQOBOAQxAFAmYQAUAAZVgUYIwESCYJRaENYSBC5AjEo5kAMBzEpSyAEAMQAABAAKQAAd4oSI

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:c0c0c0c0c0c0c0c1
Perceptual Hash:fe61618183858f9f
Difference Hash:0101212121212121
Wavelet Hash:e1c0c1c1c3c3c3c3
Color Hash:#d2932d

Other Hashes

Crop Resistant:0101212121212121

Scan History

Scan history not available

Unable to load historical scan data