Security Scan Report: www.ifsul.edu.br

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Submitted: Jan 18, 2026, 2:08:00 PMCompleted: Jan 18, 2026, 2:09:28 PMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 21 HTTP transactions. The main domain is ifsul.edu.br and was registered NaN years ago.

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

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 appears legitimate with no security concerns.

Safety Factors
Long‑standing domain (>16 years)
No credential or payment collection forms
No malicious Indicators of Compromise detected
Likely served over HTTPS (standard for .edu.br sites)
Consistent branding with Instituto Federal Sul
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

Domain 'www.ifsul.edu.br' uses the Brazilian country-code top-level domain (.edu.br); it also runs on subdomain 'www'. The second-level label 'ifsul' is 5 characters long split between two vowels and 3 consonants. Splitting it apart reveals two words: if, sul. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

9.53s
Total Load Time
73
HTTP Requests
6
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:9,684 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
13104.16.174.226United States
AS13335CLOUDFLARENET
12104.17.24.14United States
AS13335CLOUDFLARENET
1254.233.226.96São Paulo, São Paulo, Brazil
AS16509AMAZON-02
12200.19.1.202Brazil
AS2716Universidade Federal do Rio Grande do Sul
12142.250.185.104BrazilUnknown
1256.125.212.59São Paulo, São Paulo, Brazil
AS16509AMAZON-02
736--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134B3922A45DD243F0233A786BE512B18E0936DABCA270F19FBFD4797AF45E80B41514E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:oKkX6LiDoZ8DoA8saKxN/+WsajrbSU05Mf:oKkXYiDoKDoAHJH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:107907:JnwhWtgALy9EACFAIMWLQFBUYjgIEqQAYE1UEQEKgMBAfil9KzQE4ZksQoAKFSMXZIhBE7QBBECgQHAycRxOiQBAykSCFAGw

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:0000e3e3efefe7e7
Perceptual Hash:f14e0a13cce4a9ed
Difference Hash:cdcd06061e1c1e0e
Wavelet Hash:0000e3e3efc7c3e7
Color Hash:#97c587

Scan History

Scan history not available

Unable to load historical scan data