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Security Scan Report: www.ifsul.edu.br

Redirected to: https://www.ifsul.edu.br/

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Submitted: Nov 23, 2025, 5:55:38 AMCompleted: Nov 23, 2025, 5:56:40 AMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 6 domains to perform 71 HTTP transactions. The main domain is ifsul.edu.br and was registered NaN years ago.

Submitted URL: http://www.ifsul.edu.br/

Effective URL: https://www.ifsul.edu.br/Redirected

The Cisco Umbrella rank of the primary domain is #874,796 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no suspicious activity and appears to be a legitimate educational institution.

Safety Factors
Domain age over 16 years (well‑established)
Official .edu.br educational domain
No malicious Indicators of Compromise detected
No credential or payment collection forms
Content appears to be standard institutional navigation
Domain age information unavailable

Details

Page Title

IFSul - Cursos técnicos, superiores e de pós-graduação gratuitos

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

education learning

(81%)

Domain Information

The domain 'www.ifsul.edu.br' uses the Brazilian country-code top-level domain (.edu.br) and includes subdomain 'www'. Count 5 characters in 'ifsul' with two vowels and three consonants. Segmentation suggests two words: if, sul. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.ifsul.edu.br/

Page Load Overview

5.71s
Total Load Time
71
HTTP Requests
6
Domains
3.1 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:9,641 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
81%
government public service
58%
education
45%
documentation technical
34%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57200.19.1.202Brazil
AS2716Universidade Federal do Rio Grande do Sul
7104.16.174.226United States
AS13335CLOUDFLARENET
454.207.60.136São Paulo, São Paulo, Brazil
AS16509AMAZON-02
418.231.23.60São Paulo, São Paulo, Brazil
AS16509AMAZON-02
4104.17.25.14United States
AS13335CLOUDFLARENET
454.233.226.96São Paulo, São Paulo, Brazil
AS16509AMAZON-02
454.233.249.38São Paulo, São Paulo, Brazil
AS16509AMAZON-02
42606:4700::6810:aee2United States
AS13335CLOUDFLARENET
42606:4700::6811:180eUnited States
AS13335CLOUDFLARENET
454.94.91.200São Paulo, São Paulo, Brazil
AS16509AMAZON-02
7117--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176B3832A45DD242F0232A786BE512B1CE0936DBBCA270E1DFBFD4797AF45E40B41614E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qKkX6LiDoZ8DoA8saKxN/+WsajrXV2U75Mf:qKkXYiDoKDoAHJjE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:108665:YopACA5pAAWQwBAPEjXMAhiaFLeI0rBgIABTLUoSkYLIDcKAfVCBBgVQGTPAEOQFAAACECJgpMiWgTEcwhQeYKEhViUimJU0

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:0000e3e3ffefe7e7
Perceptual Hash:e14f121acce6e9e4
Difference Hash:cdcd06061e1e0e0e
Wavelet Hash:0000e3e3e7efc7c3
Color Hash:#9ad279

Other Hashes

Crop Resistant:cdcd06061e1e0e0e,ede8ddcdcccce169,23ebc0c5ccd8d82f,322a90909338d919

Scan History

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