Security Scan Report: ufba.br

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Submitted: Dec 30, 2025, 4:51:47 AMCompleted: Dec 30, 2025, 4:53:33 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 14 domains to perform 95 HTTP transactions. The main domain is ufba.br and was registered NaN years ago.

Submitted URL: https://ufba.br/

The Cisco Umbrella rank of the primary domain is #390,035 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official university domain (ufba.br)
Established presence since 1996
No suspicious redirects beyond normal site navigation
Domain age information unavailable

Details

Page Title

Universidade Federal da Bahia |

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(45%)

Domain Information

The domain 'ufba.br' uses the Brazilian country-code top-level domain (.br). The registrable portion 'ufba' spans 4 characters split between two vowels and 2 consonants. It segments into two words: u, fba. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ufba.br/

Page Load Overview

16.23s
Total Load Time
168
HTTP Requests
23
Domains
8.0 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:7,285 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service45% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
45%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24142.250.185.202United States
AS15169GOOGLE
9142.250.185.99United States
AS15169GOOGLE
9104.16.174.226Brazil
9172.217.18.3United States
AS15169GOOGLE
9200.128.56.196Salvador, Bahia, Brazil
AS53164UNIVERSIDADE FEDERAL DA BAHIA
954.233.0.73São Paulo, São Paulo, Brazil
AS16509AMAZON-02
9142.250.185.206United States
AS15169GOOGLE
9142.251.141.72United States
AS15169GOOGLE
9200.128.56.88Salvador, Bahia, Brazil
AS53164UNIVERSIDADE FEDERAL DA BAHIA
954.85.217.63Ashburn, Virginia, United States
AS14618AMAZON-AES
16817--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11DB32C2F59A4642F029B80CAD672732D51A3D707CD2205DCFFB9439D878EDACE4672A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LiqXKGEDF92z9X6LiDoZ8Dok8lbIIP8LUdfpkAxRP8rFfJRr6F2eEfmIx1QSAs7Z:LxXKGmFEZXYiDoKDokkkFD1Ys7Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:107704:Ei4AqTbagQQCAmoUAgUEJ0jM7AL2FkHhG0WCCAEIgSCAgAERAAJYlVAYEQgAHRgUEKCE8CcQCaB0AAJdtEIICgTUOAcoWU6c

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:00feff9ffffe1ec3
Perceptual Hash:bd4378522b1f651a
Difference Hash:d4f0665351e43033
Wavelet Hash:001cff8b1dfe0cc3
Color Hash:#5dbf40

Scan History

Scan history not available

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