Summary
This website contacted 7 IPs in 2 countries across 7 domains to perform 8 HTTP transactions. The main domain is unifal-mg.edu.br and was registered NaN years ago.
Submitted URL: https://www.unifal-mg.edu.br/portal/index/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate university site with no security concerns.
Safety Factors
Details
Page Title
UNIFAL-MG – UNIFAL-MG | Universidade Federal de Alfenas – Minas Gerais
Scan Type
public
Language
Portuguese
Category
education learning
(66%)Domain Information
You're looking at domain 'www.unifal-mg.edu.br' on the Brazilian country-code top-level domain (.edu.br) with subdomain 'www'. Count 9 characters in 'unifal-mg' holding 3 vowels versus 5 consonants, along with 1 hyphen. Word splitting yields three words: uni, fal, mg. Median word length is three characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 21 | 142.251.208.10 | United States | |
| 17 | 172.217.20.131 | United States | |
| 17 | 54.94.91.200 | São Paulo, São Paulo, Brazil | AS16509AMAZON-02 |
| 17 | 56.125.254.194 | United States | |
| 17 | 216.58.206.72 | United States | Unknown |
| 17 | 104.16.174.226 | United States | Unknown |
| 17 | 200.131.224.222 | Alfenas, Minas Gerais, Brazil | AS1916Rede Nacional de Ensino e Pesquisa |
| 123 | 7 | - | - |
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Scan History
Scan history not available
Unable to load historical scan data