Security Scan Report: www.ifb.edu.br

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Submitted: Jun 17, 2026, 10:32:13 AMCompleted: Jun 17, 2026, 10:33:46 AMpubliccompleted
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Summary

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

Submitted URL: https://www.ifb.edu.br/reitori

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

The site appears legitimate with no malicious activity or phishing indicators detected.

Safety Factors
Established educational domain
Self‑branding matches domain
No malicious scripts or external exfiltration
Domain age information unavailable

Details

Page Title

Reitoria

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

education

(90%)

Domain Information

Domain 'www.ifb.edu.br' uses the Brazilian country-code top-level domain (.edu.br) and includes subdomain 'www'. Its registrable label 'ifb' stretches across 3 characters holding one vowel versus 2 consonants. Segmentation suggests 2 words: if, b. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ifb.edu.br/reitori

Page Load Overview

6.18s
Total Load Time
78
HTTP Requests
12
Domains
1.1 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:7,995 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2134.117.2.119Kansas City, Missouri, United States
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1966.22.63.144Ashburn, Virginia, United States
AS25773RADWARE INC.
19104.19.229.21United States
AS13335Cloudflare, Inc.
1966.22.29.75São Paulo, São Paulo, Brazil
AS25773RADWARE INC.
784--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18093F92D19A8A82E41B786C7D666271C60B79F37C923085CFBBE03E59B5ED9CE177004

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vxfaX6LiDoZ8Do38j3rFfJRDpiLmwn1p96O8rPZ7k:vhaXYiDoKDo3uFermZ7k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94410:aidFLoVIN4FJoQIPkm/QyzIVIWAAopgkZhADRCC1DLIiEhliAWIwAAQ0jA8AAJSiAhoCRREhMZZsiMROsG4bk0KHnGTeoJdl

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:0000ffffffffffff
Perceptual Hash:b61a4247f4b8a9e9
Difference Hash:eded36ba0e0e0e0e
Wavelet Hash:0000cfdfc3e7e3c3
Color Hash:#8e87c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data