Security Scan Report: ufape.edu.br

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Submitted: Jan 16, 2026, 8:55:01 AMCompleted: Jan 16, 2026, 8:56:39 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 46 HTTP transactions. The main domain is ufape.edu.br and was registered NaN years ago.

Submitted URL: https://ufape.edu.br/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university site with no detected threats.

Safety Factors
Well-established domain (>5 years)
No malicious Indicators of Compromise
No forms collecting sensitive data
Official university branding matches domain
Domain age information unavailable

Details

Page Title

Notícias | UNIVERSIDADE FEDERAL DO AGRESTE DE PERNAMBUCO

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

education

(45%)

Domain Information

The domain name 'ufape.edu.br' uses the Brazilian country-code top-level domain (.edu.br) with no subdomain. The registrable portion 'ufape' spans 5 characters with 3 vowels and 2 consonants. Word splitting yields 2 words: uf, ape. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ufape.edu.br/

Page Load Overview

4.19s
Total Load Time
101
HTTP Requests
14
Domains
1.8 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:4,159 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
adult content
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.250.185.136United States
AS15169GOOGLE
14151.101.193.229United States
AS54113FASTLY
14200.133.6.200Petrolina, Pernambuco, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
1456.125.254.194São Paulo, São Paulo, Brazil
AS16509AMAZON-02
14142.250.184.238BrazilUnknown
1454.94.91.200BrazilUnknown
14142.251.140.182BrazilUnknown
1017--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F83F93D18B0102B1163848BEA75B71AE5C2E987DB12194DF7FE030DCFCAE54E897A19

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ao6LiDoZ8DoQ/aw9dBRvFq5AJcOGeM7EwT+AdfCUFzriTKzmIgr+CZNIyXzkwZAi:aoYiDoKDo4lzq+Xpv46TKZLqR3tJ7HNT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:88130:OaTFAIqkzY0zDIkAAwAJADAHQIISIZQPkIEYEAYRZDxJECDFeWWJPEjAiQJCmguHSMgBIWcAgHBIjwAYaZiZYwgSQAIgnDGA

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:0000ffffe7c7ffff
Perceptual Hash:b24b4d32d39cb0cd
Difference Hash:d9c11d1c0c1d1c30
Wavelet Hash:000001c7c7c7ffff
Color Hash:#79d2a6

Scan History

Scan history not available

Unable to load historical scan data