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Security Scan Report: unipampa.edu.br

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Submitted: Nov 23, 2025, 12:06:26 PMCompleted: Nov 23, 2025, 12:09:03 PMpubliccompleted
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Summary

This website contacted 113 IPs in 3 countries across 18 domains to perform 128 HTTP transactions. The main domain is unipampa.edu.br and was registered NaN years ago.

Submitted URL: https://unipampa.edu.br/portal/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official .edu.br TLD belonging to a federal university
No credential or payment forms present
No external domains or links detected
No suspicious redirects or hidden content
Domain is well‑known and listed in public university registries
Domain age information unavailable

Details

Page Title

Unipampa | Universidade Federal do Pampa

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(63%)

Domain Information

You're looking at domain 'unipampa.edu.br' on the Brazilian country-code top-level domain (.edu.br) with no subdomain. Its registrable label 'unipampa' stretches across 8 characters with 4 vowels and 4 consonants. Segmentation suggests 2 words: uni, pampa. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unipampa.edu.br/portal/

Page Load Overview

7.78s
Total Load Time
128
HTTP Requests
18
Domains
13.3 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:14,179 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
63%
education
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
84200.132.146.52Uruguaiana, Rio Grande do Sul, Brazil
AS2716Universidade Federal do Rio Grande do Sul
7216.58.206.46United States
AS15169GOOGLE
3151.101.129.229San Francisco, California, United States
AS54113FASTLY
3142.250.186.46United States
AS15169GOOGLE
2104.21.27.152United States
AS13335CLOUDFLARENET
2142.250.184.227United States
AS15169GOOGLE
2142.250.185.170United States
AS15169GOOGLE
2142.250.74.214United States
AS15169GOOGLE
2216.58.206.74United States
AS15169GOOGLE
254.94.91.200São Paulo, São Paulo, Brazil
AS16509AMAZON-02
128113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11734B53048B0347B126B45C5AA60E71BA3D3D38ADF6A0E49F7FD13069BC9E11DD532A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Sh3YksPNZZb9NmmM1nHIc2OjNQmb8BN+9uzNKJSw35N5OJN4rK6uYZrgNdz1fNWY:/P3bg3uBOaK4jx3A8fDzuALM+uwE8iur

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:239126:CEEoogIOEiELCIvAiCYoA1ZYGCIEQGUgZAW12SAHebgvAEAGCIAIRAQUEIKSV1KAQhqJWMQIWBiCCMSIDDyHFlAQCB1NFQSs

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:ffe7c3c3e7e7c3c7
Perceptual Hash:f6c999cf9930cc60
Difference Hash:1e0e868e0e468e1c
Wavelet Hash:e7c3c3c2e2e3c382
Color Hash:#9ad279

Other Hashes

Crop Resistant:1e0e868e0e468e1c,b1b596a532222425,01a1b9aaaa99f27f,e1db6363e3e1e8ea

Scan History

Scan history not available

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