Security Scan Report: ufop.br

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Submitted: Feb 27, 2026, 9:47:29 AMCompleted: Feb 27, 2026, 9:49:27 AMpubliccompleted
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Summary

This website contacted 10 IPs in 1 country across 10 domains to perform 1 HTTP transaction. The main domain is ufop.br and was registered NaN years ago.

Submitted URL: https://ufop.br/

The Cisco Umbrella rank of the primary domain is #836,789 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate university portal with no security concerns detected.

Safety Factors
Established institutional domain (ufop.br)
Clean meta information matching the site purpose
No redirects to suspicious domains
No form fields that collect sensitive data
Domain age information unavailable

Details

Page Title

Universidade Federal de Ouro Preto - UFOP

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(83%)

Domain Information

Within the Brazilian country-code top-level domain (.br), 'ufop.br' is registered and has no subdomain. The registrable portion 'ufop' spans 4 characters split between two vowels and 2 consonants. It segments into two words: ufo, p. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ufop.br/

Page Load Overview

15.29s
Total Load Time
142
HTTP Requests
17
Domains
1.0 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:8,016 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service83% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
83%
healthcare medical
59%
documentation technical
47%
education learning
43%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16142.250.201.72Brazil
14200.133.59.222Recife, Pernambuco, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
14142.251.141.106Brazil
14200.239.167.122Brazil
AS1916Rede Nacional de Ensino e Pesquisa
14200.239.128.199Ouro Preto, Minas Gerais, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
1418.66.102.106BrazilUnknown
14142.251.36.99BrazilUnknown
14142.250.201.174BrazilUnknown
1415.229.72.199BrazilUnknown
14142.251.140.170BrazilUnknown
14210--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18563642256E1257B065392CCBA61E71AABC3D58ADF470684F3FC4B4A9FC6FC08C53619

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UJd3bc+AGy9+RHZIh7kmgW3Dha1WvU+ayylQa6M:gtJykFZI6mgW3Dha1WvU+ayylQa6M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:73001:wtSGcnAwJGAEWgoK1iSFEJCQQPALtCTGpimANiAIaQBBjvsgBggCUWhVAIMDioFpBBQeTIkEhAm7TXfAIABACDQUFORCCiMk

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:0000fff7c3ffffd7
Perceptual Hash:bc43433634c9cdbc
Difference Hash:cdcdf2262f2f3337
Wavelet Hash:0000ffc383d3ff87
Color Hash:#7e2d86

Scan History

Scan history not available

Unable to load historical scan data