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Security Scan Report: aprovarcartao-rug3wo9i76.edgeone.app

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Submitted: May 2, 2026, 7:08:01 PMCompleted: May 2, 2026, 7:09:23 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 10 HTTP transactions. The main domain is aprovarcartao-rug3wo9i76.edgeone.app and was registered NaN years ago.

Submitted URL: https://aprovarcartao-rug3wo9i76.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: 78%

2
Risk Score

Low risk site with no malicious activity detected; likely safe but subdomain age is unknown.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain ranking in Cisco Umbrella
Safety Factors
No login, payment, or credential collection forms
No external malicious links or IoC matches
No JavaScript malware or credential exfiltration behavior
Domain age information unavailable

Details

Page Title

Cadastro de Cartão

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(92%)

Domain Information

You're looking at domain 'aprovarcartao-rug3wo9i76.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'aprovarcartao-rug3wo9i76'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 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://aprovarcartao-rug3wo9i76.edgeone.app/

Page Load Overview

0.77s
Total Load Time
9
HTTP Requests
2
Domains
131 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:2,805 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service92% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
92%
technology software
87%
cryptocurrency blockchain
86%
real estate property
86%
documentation technical
82%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
AS139341ACE
4142.251.13.95United States
AS15169Google LLC
92--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B34C7AA79F70032466331AE1BAB57453A24D603A80DDCA07FAD43449FD2EA4D577F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sBGE+XKj/g45MszBWfxlmLxmwPrDXt+pd467aAFTLswtPIKP6t0FclZ4wA:0orfxOtY7BhAKP6t0Fco9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:245530:BxAoRnoiaJWU4oVJcIkFAAAhKgKwwJdMG2BWAjCCCCABY0gynLhIIgY1YA6HbQEDMow8RKCAXgg2EI3gRIA6KAQKgoMYAwDA

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:c7e7ffe7ffffffff
Perceptual Hash:b333333333999989
Difference Hash:4d4c320c00000000
Wavelet Hash:03031b230f0f0f0f
Color Hash:#2d8dd2

Other Hashes

Crop Resistant:4d4c320c00000000

Scan History

Scan history not available

Unable to load historical scan data