Security Scan Report: www.ufra.edu.br

Redirected to: https://novo.ufra.edu.br/

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Submitted: Oct 20, 2025, 6:43:26 AMCompleted: Oct 20, 2025, 6:44:31 AMpubliccompleted
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Summary

This website contacted 44 IPs in 3 countries across 11 domains to perform 77 HTTP transactions. The main domain is novo.ufra.edu.br and was registered NaN years ago.

Submitted URL: https://www.ufra.edu.br/

Effective URL: https://novo.ufra.edu.br/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors
Established academic institution with long registration history
Only standard search functionality; no data‑collection forms
Domain age information unavailable

Details

Page Title

UFRA - Universidade Federal Rural da Amazônia - UFRA

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

education

(90%)

Domain Information

The domain 'www.ufra.edu.br' uses the Brazilian country-code top-level domain (.edu.br); it also runs on subdomain 'www'. The core label 'ufra' covers 4 characters containing 2 vowels alongside two consonants. Segmentation suggests two words: u, fra. The median word length lands at two characters. 'u' most often appears in Croatian. You will also see it in Bosnian and Serbian contexts.

Screenshot

Security scan screenshot of https://www.ufra.edu.br/

Page Load Overview

21.70s
Total Load Time
77
HTTP Requests
11
Domains
1.8 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:7,523 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34104.17.25.14United States
AS13335CLOUDFLARENET
154.233.226.96São Paulo, São Paulo, Brazil
AS16509AMAZON-02
1200.129.150.76Belém, Pará, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
1216.58.206.67United States
AS15169GOOGLE
1142.250.185.234United States
AS15169GOOGLE
1142.250.185.174United States
AS15169GOOGLE
1104.16.175.226United States
AS13335CLOUDFLARENET
154.232.243.131São Paulo, São Paulo, Brazil
AS16509AMAZON-02
1142.250.185.67United States
AS15169GOOGLE
154.94.91.200São Paulo, São Paulo, Brazil
AS16509AMAZON-02
7744--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152930A3E0458AE2F02B749CBD956271C60B65F37C662095CFBB243AA874DEEDE077009

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LuiX6LiDoZ8Don8NlrFfJR8npizQBrjzMlzgOpK87Fe:LBXYiDoKDonsFZcBrjzWz9z7Fe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92136:siAJkgEACVEQYBAkFY8sASgCgP0gEkEAnK+AbBUUIeBVDAFOaChBO8eCnEQIUEwB58XRhBAFMDRB0gALaBKiBIIg4iIOQW5A

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:0000e3e3e3e3ffe7
Perceptual Hash:e11a1e1a619ee1f9
Difference Hash:cded060606063e06
Wavelet Hash:0000e3c3e3e3ffe3
Color Hash:#2d8646

Scan History

Scan history not available

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