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Security Scan Report: ufu.br

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Submitted: Jan 9, 2026, 4:31:01 PMCompleted: Jan 9, 2026, 4:33:08 PMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 15 domains to perform 2 HTTP transactions. The main domain is ufu.br and was registered NaN years ago.

Submitted URL: https://ufu.br/

The Cisco Umbrella rank of the primary domain is #373,247 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Well‑established university domain
No credential‑harvesting or payment forms
No malicious Indicators of Compromise
Standard hosting environment
No noindex meta tags indicating hidden pages
Domain age information unavailable

Details

Page Title

Início | Universidade Federal de Uberlândia

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(69%)

Domain Information

Domain 'ufu.br' uses the Brazilian country-code top-level domain (.br). The registrable portion 'ufu' spans 3 characters split between 2 vowels and one consonant. Splitting it apart reveals two words: u, fu. Median word length comes out to 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

20.57s
Total Load Time
141
HTTP Requests
15
Domains
7.3 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:10,583 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
69%
education learning
30%
forum
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11200.19.146.181Belo Horizonte, Minas Gerais, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
10142.250.186.131United States
AS15169GOOGLE
10104.17.25.14United States
AS13335CLOUDFLARENET
1020.250.198.32Zurich, Zurich, Switzerland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
10104.21.27.152United States
AS13335CLOUDFLARENET
10104.16.175.226Unknown
AS16509
1052.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
10200.19.145.56Belo Horizonte, Minas Gerais, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
10142.250.185.168UnknownUnknown
10200.19.146.163Belo Horizonte, Minas Gerais, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
14114--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED44E42DD35E21FF1B1711A2B7986345F02A9A63FEAE40A5F77B039D77C8E05A062305

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:0Yp8qRh0sRRhzV97RQbeZikSDCfJZk1ZeBunK0r8RhkH9R1m9+6H9hTS9vuP9wHW:JRQ2d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:261255:JQIgiEBCnaS7KSh5B1gZAECjWCCkRFj6A1QAAglBAwSISwqbEKPuEATbGYyEDBxmQQYhSRBR6gpFQBCBkHgJZlMQokKQE0CE

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:ffff818181818183
Perceptual Hash:bbd08515146f383f
Difference Hash:312b2b2b3b2b2b2f
Wavelet Hash:ffffc181838181c3
Color Hash:#ac9f53

Other Hashes

Crop Resistant:312b2b2b3b2b2b2f,01118b9494940301,4c64b4747cccce8a

Scan History

Scan history not available

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