Security Scan Report: www.iffarroupilha.edu.br

Submitted: Dec 18, 2025, 9:43:44 PMCompleted: Dec 18, 2025, 9:43:47 PMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is iffarroupilha.edu.br and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long-established educational domain (.edu.br)
No suspicious content detected in OCR or HTML
No external links or redirects
Domain age information unavailable

Details

Page Title

IFFar - Página de Entrada IFFar

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

social media network

(92%)

Domain Information

The domain name 'www.iffarroupilha.edu.br' uses the Brazilian country-code top-level domain (.edu.br) and includes subdomain 'www'. The registrable portion 'iffarroupilha' spans 13 characters with six vowels and seven consonants. Word splitting yields 5 words: if, farro, up, i, lha. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.12s
Total Load Time
0
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:2,029 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network92% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
92%
government public service
88%
education learning
64%
education
45%
cryptocurrency blockchain
38%

Detected Features

Search

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11363C73C6861C82E50A749D7D577271C60B6AB47CA22089CFFBE83A59F5ED9CE17B004

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QEy2D6LiDoZ8Dodjy3ssKwtpKvVhIS4p5VjJ7k:QEy2DYiDoKDodK3Vv7k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:71784:CJqCMgEpn6YBBCFIJAGCqlQexSKhARRGSxAtWAEaQEiQJT7R5IEWBkQAAMoT0NAJmoGMSfAUJAB0BWUCEnxFAwhCiUgDDAeq

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:007effffffff0000
Perceptual Hash:e696091c7639ab63
Difference Hash:c4c40c4c0c0dc9c9
Wavelet Hash:0000ffffffff0000
Color Hash:#42931f

Scan History

Scan history not available

Unable to load historical scan data