Security Scan Report: unipampa.edu.br

Submitted: Jan 21, 2026, 5:36:26 AMCompleted: Jan 21, 2026, 5:38:17 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 35 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: 95%

1
Risk Score

Legitimate university site with no apparent security threats.

Safety Factors
Long‑standing domain registration (2007)
Official university domain (unipampa.edu.br)
No malicious Indicators of Compromise
No credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

Unipampa | Universidade Federal do Pampa

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(75%)

Domain Information

Within the Brazilian country-code top-level domain (.edu.br), 'unipampa.edu.br' is registered without a subdomain. Count 8 characters in 'unipampa' containing 4 vowels alongside 4 consonants. Tokenizing the label suggests 2 words: uni, pampa. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

21.55s
Total Load Time
120
HTTP Requests
16
Domains
13.1 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:14,382 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service75% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
75%
education
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15104.16.174.226United States
AS13335CLOUDFLARENET
15142.250.185.104United States
AS15169GOOGLE
1554.94.120.61São Paulo, São Paulo, Brazil
AS16509AMAZON-02
15142.250.186.174United States
AS15169GOOGLE
1554.94.91.200São Paulo, São Paulo, Brazil
AS16509AMAZON-02
15104.21.27.152United States
AS13335CLOUDFLARENET
15200.132.146.52Porto Alegre, Rio Grande do Sul, Brazil
AS2716Universidade Federal do Rio Grande do Sul
15142.251.141.106United States
AS15169GOOGLE
1208--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C434A53044B0347B126B45C6AA60E71BA3C3D38AEF5A1E45FBFD13069BC9E11DD532A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:IYtsxNZZbVNm3unHIciO6ob8BN+9uzNKJSw35N5OJN4rK6uYZrgNdz1fNWMOkxwI:Qx3LgjBOaK4jx3A8fDzuALM+uwE8iuoK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:231029:izwFQRnABBbgSAAGhVkxEhg0YJEmEWhACcMoEAjiC2PAYRAeIWoIHZIQeQkAEBbJKQSYEQA0BDR5KgIyhUqAiIAKjA8rAiQQ

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:ffe7c3c3e7e3ffff
Perceptual Hash:e6619bcd9b6064cc
Difference Hash:1e0e068e0e46003d
Wavelet Hash:c3c3c3c3c3c3ff00
Color Hash:#783a77

Scan History

Scan history not available

Unable to load historical scan data