Security Scan Report: www.ufra.edu.br

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

Submitted: Jan 21, 2026, 12:37:26 PMCompleted: Jan 21, 2026, 12:39:05 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 10 domains to perform 12 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: 96%

0
Risk Score

The site is a legitimate university website with no security concerns.

Safety Factors
Established domain with long registration history
No suspicious forms or data collection
No known malicious Indicators of Compromise
HTTPS connection (secure transport)
Official university branding
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

Within the Brazilian country-code top-level domain (.edu.br), 'www.ufra.edu.br' is registered; it also runs on subdomain 'www'. Its registrable label 'ufra' stretches across 4 characters with 2 vowels and two consonants. Splitting it apart reveals two words: u, fra. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.35s
Total Load Time
75
HTTP Requests
11
Domains
1.2 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:7,661 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
11142.250.185.106United States
AS15169GOOGLE
815.229.72.199São Paulo, São Paulo, Brazil
AS16509AMAZON-02
8151.101.193.229United States
AS54113FASTLY
8216.58.212.142United States
AS15169GOOGLE
8142.250.185.131United States
AS15169GOOGLE
8142.250.185.195United States
AS15169GOOGLE
854.94.120.61São Paulo, São Paulo, Brazil
AS16509AMAZON-02
8200.129.150.76Belém, Pará, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
8104.17.25.14United States
AS13335CLOUDFLARENET
759--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B931A3E0458AE2F02BB49CAD955271CA0F75F37DA62095CFBF243A9474DEEDE066009

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:NuKX6LiDoZ8Don8Nln3gN8npiz8BrjzMlzALTJK+7u:N3XYiDoKDonsnCZABrjzWzWv7u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92385:AiQFPwMMkSYgiIBGDIRCABFLhiYuAQPBoYAAoA48DjigCPGCcEVgiDjB6gIgIEFgUjQYJqIsaARICC4CGSJMACCBiJAIvQAg

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:e11a1e1e619ce1f9
Difference Hash:cded060606063c06
Wavelet Hash:0000e3c3e3e3ffe3
Color Hash:#8e87c5

Scan History

Scan history not available

Unable to load historical scan data