Security Scan Report: ufla.br

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Submitted: Oct 7, 2025, 5:37:42 AMCompleted: Oct 7, 2025, 5:39:34 AMpubliccompleted
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Summary

This website contacted 53 IPs in 3 countries across 14 domains to perform 82 HTTP transactions. The main domain is ufla.br and was registered NaN years ago.

Submitted URL: https://ufla.br/

The Cisco Umbrella rank of the primary domain is #836,751 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors
Well‑established domain
University government (.br) domain
Clean threat intelligence profile
Standard search form only
Domain age information unavailable

Details

Page Title

Página Principal - UFLA - Universidade Federal de Lavras

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(77%)

Domain Information

The domain name 'ufla.br' uses the Brazilian country-code top-level domain (.br) without a subdomain. Count 4 characters in 'ufla' containing 2 vowels alongside 2 consonants. Breaking it apart gives two words: uf, la. Average segment length settles at 2 characters. The linguistic tilt is Esperanto for 'la'. Usage also turns up in Catalan and Spanish contexts. Net impression: Esperanto phrase.

Screenshot

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

Page Load Overview

38.97s
Total Load Time
82
HTTP Requests
14
Domains
4.1 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:5,151 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service77% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
77%
news media journalism
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30172.217.16.136United States
AS15169GOOGLE
1151.101.66.137San Francisco, California, United States
AS54113FASTLY
1142.250.184.238United States
AS15169GOOGLE
1200.131.250.2Alfenas, Minas Gerais, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
152.67.219.194São Paulo, São Paulo, Brazil
AS16509AMAZON-02
1151.101.194.137San Francisco, California, United States
AS54113FASTLY
1142.250.184.232United States
AS15169GOOGLE
164.233.184.156United States
AS15169GOOGLE
1216.239.32.36United States
AS15169GOOGLE
115.229.72.199São Paulo, São Paulo, Brazil
AS16509AMAZON-02
8253--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18473D62242DD343B423343C2B1616B5DA0ABD937EA630A55F7FF0B569BC6F926813349

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:172Z91hmB4hJqLpP0aFah/+KMJjCtCpvl23h1e:IVmB4b0pcaQmKFe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74595:QAZgLJgFgxDKcpXLUCAIQAYvpqd6J4wIWQQzBMQmYgAGEHIqIAzlQAIAYRwRpAo5MsESYhFgRoENghA4CwYhmeQCtiEAEAAE

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:0000ffe3e1e3fbff
Perceptual Hash:e1149e6361edba98
Difference Hash:c4cc030f0b0b030f
Wavelet Hash:0000f3e1e1e3e3ff
Color Hash:#9ed22d

Scan History

Scan history not available

Unable to load historical scan data