Security Scan Report: cenapad.ufc.br

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Submitted: Sep 12, 2026, 2:32:30 PMCompleted: Sep 12, 2026, 2:33:11 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 47 HTTP transactions. The main domain is cenapad.ufc.br and was registered 30 years ago.

Submitted URL: https://cenapad.ufc.br

The Cisco Umbrella rank of the primary domain is #307,554 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official academic HPC center of the Federal University of Ceará on its legitimate ufc.br university domain. No forms, no credential collection, no threat-intel, YARA, or malware signals — a genuine institutional site.

Safety Factors (5)
Self-branding: title/meta match the domain, no impersonation of another entity
Well-established domain (~30 years old, registered 1996)
Ranks #307,554 in Cisco Umbrella — popularity indicator only, not a risk factor
Institutional contact details published (phone +55 85 3366-9472, [email protected], street address, CNPJ)
Content is academic/research-oriented: project registration, cluster access, published article news
Domain age information unavailable

Details

Page Title

CENAPAD-UFC – Centro Nacional de Processamento de Alto Desempenho

Scan Type

public

Domain Name Analysis

Within the Brazilian country-code top-level domain (.br), 'cenapad.ufc.br' is registered, featuring subdomain 'cenapad'. The registrable portion 'ufc' spans 3 characters with 1 vowel and two consonants. Segmentation suggests one word: ufc. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cenapad.ufc.br

Page Load Overview

20.91s
Total Load Time
3.5 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:2,649 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network92% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
92%
documentation technical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
47200.19.191.10Fortaleza, Ceará, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
471--

Detected Technologies6

JQueryv3.7.1
100%
Bootstrapv6.8.8
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE72B872E06900567B4E57ACD1D57329EAA8F614CA46B77670F832A84EF48FB00F760D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:42PnqE0zmAr3ZdqZUaAWkWOLDGaCwvncf7:420dZdapzcI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17238:2mGETkzqQUEIJBSFbAJoYAKSEKFqAgWIJEhAMxCNFyk+R+CZCQbJ9QAAEji7tQFiRIGiP8AIBOaBAJyIlAOh0EAoCNkE0MEI

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:ffffcfcfff00ffff
Perceptual Hash:b0b9c746b9b138c5
Difference Hash:09481a18c1d50c00
Wavelet Hash:00ff0e8f0000ffff
Color Hash:#d279a4

Scan History

Scan history not available

Unable to load historical scan data