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Security Scan Report: www.ifb.edu.br

Submitted: Nov 19, 2025, 2:18:30 PMCompleted: Nov 19, 2025, 2:19:15 PMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 3 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: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain age over 16 years (well‑established)
No malicious Indicators of Compromise matches found
No credential or payment forms detected
No health‑related or illegal content
Domain age information unavailable

Details

Page Title

Reitoria

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

You're looking at domain 'www.ifb.edu.br' on the Brazilian country-code top-level domain (.edu.br); it also runs on subdomain 'www'. The registrable portion 'ifb' spans 3 characters containing one vowel alongside 2 consonants. Word splitting yields 2 words: if, b. Median word length is 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

8.14s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:738 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
60%
adult content
53%
education
45%
government public service
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
366.22.29.75UnknownUnknown
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17743B6102ECCEC3701AB96C56631176964FB873AC2134998F6BE87F16B9ED0CD633059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:L2by3BiyPT3ssK/j0DvC+iWmyHXeC14p5bqX7V2BVZxmUf7k:sk3ssKwDpiWmcn1rVex57k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60364:gMKLcXBARhAJdJhKMiYoxBFAwiBCgSGEAEAAWGCGCV0UNQRpSKyBKRYxHNZsAIuJsYfHADshXgCFB2OgAMwIElUw0STEUmAx

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:0000ffffefffffff
Perceptual Hash:b61a4643b39cece1
Difference Hash:eded323a0e060e0e
Wavelet Hash:0000cfdfc3e7c7c3
Color Hash:#4c2d86

Scan History

Scan history not available

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