Security Scan Report: www.unifap.br

Redirected to:
https://www.unifap.br/
Site favicon
Submitted: Sep 14, 2026, 6:59:06 PMCompleted: Sep 14, 2026, 7:00:04 PMpubliccompleted

This website contacted 3 IPs in 2 countries across 3 domains to perform 143 HTTP transactions. The main domain is unifap.br and was registered 18 years ago.

Submitted URL: http://www.unifap.br

Effective URL:

https://www.unifap.br/
Redirected

AI Security Verdict

Low Risk

Confidence: 60%

5
Risk Score

Heuristic analysis (AI unavailable): Standard risk profile

Domain age information unavailable

Details

Page Title

UNIFAP – Universidade Federal do Amapá

Scan Type

public

Domain Name Analysis

Domain 'www.unifap.br' uses the Brazilian country-code top-level domain (.br), featuring subdomain 'www'. Its registrable label 'unifap' stretches across 6 characters split between 3 vowels and 3 consonants. Segmentation suggests 3 words: un, if, ap. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.unifap.br

Page Load Overview

36.46s
Total Load Time
7.1 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:6,477 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism42% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
42%
education learning
37%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
49192.178.170.95Google · CDNUnited States
AS15169Google LLC
47200.139.21.10Macapá, Amapá, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
47142.251.14.94Google · CDNUnited States
AS15169Google LLC
1433--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13BA2C63260290C46770E97A9D093B3D9E599E507CA05A379B4F4306C8ABCAFB01F7D1E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:4Meqc0JvqE0+lGN+svWqd3rqWRXdqZsTaA+1BNslQCfEGHRmy4kW5I2YWiTWhdW6:qqZvqE0zWor3ZdqZUaAWkW5I5myC7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21808:ylxOEWIAkI6sEawgmFkQAAOiFSRxoEGSJACqVRsowAq5DBNUaBE8OIj4QPBoDEDIzlSUCBAEtpW5jaLkQDARSQFYQDCjIgQG

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:0000ffffffffffff
Perceptual Hash:aa0a0a3cd3b5f5d1
Difference Hash:6161000040222240
Wavelet Hash:0000f3f33f01017f
Color Hash:#d279b9

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data