Security Scan Report: ufal.br

Submitted: Jan 20, 2026, 2:43:15 AMCompleted: Jan 20, 2026, 2:45:00 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 8 domains to perform 88 HTTP transactions. The main domain is ufal.br and was registered NaN years ago.

Submitted URL: https://ufal.br/

The Cisco Umbrella rank of the primary domain is #528,147 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Established domain (>30 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
Official university branding and content
HTTPS likely in use (standard for .br domains)
Domain age information unavailable

Details

Page Title

Universidade Federal de Alagoas

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(78%)

Domain Information

You're looking at domain 'ufal.br' on the Brazilian country-code top-level domain (.br). The registrable portion 'ufal' spans 4 characters with two vowels and 2 consonants. Splitting it apart reveals two words: u, fal. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

14.13s
Total Load Time
121
HTTP Requests
9
Domains
6.6 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:14,090 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
78%
documentation technical
66%
education learning
62%
healthcare medical
62%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1954.94.120.61São Paulo, São Paulo, Brazil
AS16509AMAZON-02
17146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
17200.17.112.70Maceió, Alagoas, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
17216.58.206.40United States
AS15169GOOGLE
17142.250.185.118United States
AS15169GOOGLE
17104.16.174.226United States
AS13335CLOUDFLARENET
1715.229.72.199São Paulo, São Paulo, Brazil
AS16509AMAZON-02
1217--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18EF3647B05F0303F0673C2D59A513B3995C3A44BDB26090AB3FE17AD8FA1E91A91752E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:rSw6LiDoZ8Do/HHZ/Ww1Pk3T14jTzUPOJlz3a9Gc:r1YiDoKDo/pL1i4dTc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:167108:BOBIpaAERABKQghIJHQUwsgiBY5hiAEmVErZEBLhU4iAQBAhMshI14CEPAdjEABgafoAxAA+EQkAuERRDYgAhsAnoEipIJSV

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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