Security Scan Report: ondecompro-oficial-xnc3ijmjof.edgeone.app

Submitted: Mar 12, 2026, 7:47:29 AMCompleted: Mar 12, 2026, 7:48:54 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is ondecompro-oficial-xnc3ijmjof.edgeone.app and was registered NaN years ago.

Submitted URL: https://ondecompro-oficial-xnc3ijmjof.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

OndeCompro Oficial - Grupos VIP

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

e-commerce shopping

(79%)

Domain Information

Domain 'ondecompro-oficial-xnc3ijmjof.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'ondecompro-oficial-xnc3ijmjof'. Count 7 characters in 'edgeone' split between four vowels and 3 consonants. Splitting it apart reveals 2 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://ondecompro-oficial-xnc3ijmjof.edgeone.app/

Page Load Overview

0.49s
Total Load Time
3
HTTP Requests
2
Domains
82 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:484 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping79% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
79%
social media network
64%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
245.43.142.3Singapore
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12C120F2261F33053511791C02AFB0B3B2AB48A47D54B892977ED67E4CFC9DE0FA43A94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:5IGvQX/Dh20pgdF3fa5Hx2zGX9teUcJ/pDuU/uAJMiCU6Yid/O2yLSs:5I2MAeiCU6YiBO2yLSs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9126:wFIADAQoSQBBEQdURLMhEjJHAQoIwgFqMWiMAMziJWIamaQHRm0hzIRBaCQHACJzEQgwGAAVYaMnKRQIUNIBoiEOKoByQwRA

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:b8b8b81818181818
Perceptual Hash:d9d99966668c6299
Difference Hash:3232323030303232
Wavelet Hash:f8f8f8f8d8989818
Color Hash:#79d291

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data