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Security Scan Report: www.ifc.edu.br

Redirected to:
https://ifc.edu.br/
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Submitted: Jun 13, 2026, 9:12:20 AMCompleted: Jun 13, 2026, 9:13:56 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is ifc.edu.br and was registered NaN years ago.

Submitted URL: https://www.ifc.edu.br

Effective URL: https://ifc.edu.br/Redirected

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Site appears legitimate with low risk; no phishing, credential harvesting, or malware observed.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1M)
Safety Factors
Long‑standing domain registration (2009)
Absence of credential‑collection forms
No malicious IoC or YARA detections
No suspicious redirects beyond a single canonical redirect
Domain age information unavailable

Details

Page Title

IFC - Instituto Federal Catarinense

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(74%)

Domain Information

You're looking at domain 'www.ifc.edu.br' on the Brazilian country-code top-level domain (.edu.br), featuring subdomain 'www'. The second-level label 'ifc' is 3 characters long split between 1 vowel and 2 consonants. Tokenizing the label suggests 2 words: if, c. Median word length comes out to 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ifc.edu.br

Page Load Overview

6.53s
Total Load Time
61
HTTP Requests
10
Domains
1.9 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:5,118 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
74%
education learning
54%
education
45%
documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1654.94.91.200São Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
15142.251.20.95United States
AS15169Google LLC
15142.251.14.97United States
AS15169Google LLC
1566.22.29.240São Paulo, São Paulo, Brazil
AS25773RADWARE INC.
614--

Detected Technologies10

WordPress
100%
MetaGenerator
100%
JQueryv2.2.0
100%
Google-AnalyticsvUniversal
100%
Bootstrapv2.2.0
100%
PHP
50%
MySQL
50%
HSTS
40%
Google Analytics
35%
Lightbox
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11EB309BE442924BE127B5682D558771CE393A90ECFA9851DF3FA130CC7C6EE1A5E520C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fDM0apdAVKXfgfX6LiDoZ8DovBH+omQL/52G/UQ/UBOnZFyzSSjOf6ZGrphf1wha:rMTEVKXfGXYiDoKDoJNL/53rf7ZHX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:111912:TBi6EMEQCAOoAEgCQJK0KAooFiKUwDhAJAAgrFgIkJgAmHCSAvAwlRgABUolwzgARgCEAjhogJAQcCEUMRACUEMBDJAiaEmQ

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:0000f3e3ffefe7e7
Perceptual Hash:e34c121669e78d9e
Difference Hash:c5cc1307070f0f0f
Wavelet Hash:0000e1c3f7e7e7c7
Color Hash:#4090bf

Other Hashes

Crop Resistant:c5cc1307070f0f0f,1e162f2a260f2223,9de9c494ccc4d02c,4c4a494f2c9dd564,3111595a19280949,460607858d591909

Scan History

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