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Security Scan Report: ifc.edu.br

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Submitted: Dec 28, 2025, 7:40:05 AMCompleted: Dec 28, 2025, 7:41:27 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 10 domains to perform 54 HTTP transactions. The main domain is ifc.edu.br and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established educational institution domain (.br)
No suspicious redirects (final URL matches initial URL)
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

IFC - Instituto Federal Catarinense

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(50%)

Domain Information

The domain 'ifc.edu.br' uses the Brazilian country-code top-level domain (.edu.br). The second-level label 'ifc' is 3 characters long with one vowel and 2 consonants. Splitting it apart reveals 2 words: if, c. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

35.61s
Total Load Time
54
HTTP Requests
0
Domains
N/A
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:5,955 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
50%
education
45%
news media journalism
32%
education learning
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39191.52.0.26Brazil
AS263410Instituto Federal Catarinense
6216.239.32.36UnknownUnknown
3104.16.174.226United States
AS13335CLOUDFLARENET
2157.240.0.6Germany
AS32934FACEBOOK
2172.217.18.3UnknownUnknown
1142.250.185.168UnknownUnknown
115.229.72.199UnknownUnknown
113.32.99.60UnknownUnknown
1142.251.140.170UnknownUnknown
09--

Detected Technologies5

WordPress
100%
MetaGenerator
100%
JQueryv2.2.0
100%
Google-AnalyticsvUniversal
100%
Bootstrapv2.2.0
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9A3F8BE0069247E02AB5786C458771CE393A91ECFA98558F3F6134CD7C2EE6D5E920C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7DLapfE7L8fA6LiDoZ8DofH+omQdNrkZlnZFyzSSjOf6ZGrprf1wh2ZG:Huq7L8fAYiDoKDofNdN+VfXZG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103317:SEgAiBwiUAdmg7CdMoEKQiSEDDosREFILegXQHCDQ0gUANKkABKGoGAByFOsR5AUwiBjuAIrFFiAABARZCAEzEdheEUCHYBI

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:0000e3e3ffffffff
Perceptual Hash:e34c121a67e9cc9b
Difference Hash:c5cc13070f224b0b
Wavelet Hash:000081c3e3ffefe7
Color Hash:#d06ce0

Other Hashes

Crop Resistant:c5cc13070f224b0b,1e162f2a260f2223,9de9c494ccc4d02c,4c4a494f2c9dd564,3111595a19280949

Scan History

Scan history not available

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