Security Scan Report: ufba.br

Submitted: Dec 20, 2025, 9:22:17 AMCompleted: Dec 20, 2025, 9:23:22 AMpubliccompleted
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Summary

This website contacted 27 IPs in 2 countries across 23 domains to perform 171 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

Legitimate university site with no apparent security threats.

Safety Factors
Well‑established domain
Official university domain (Universidade Federal da Bahia)
No malicious Indicators of Compromise
No login or payment collection forms
Domain age information unavailable

Details

Page Title

Universidade Federal da Bahia |

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(44%)

Domain Information

The domain 'ufba.br' uses the Brazilian country-code top-level domain (.br) and has no subdomain. Count 4 characters in 'ufba' split between two vowels and two consonants. Tokenizing the label suggests 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

8.11s
Total Load Time
171
HTTP Requests
23
Domains
7.2 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:7,094 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service44% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
44%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1554.85.217.63Ashburn, Virginia, United States
AS14618AMAZON-AES
6142.251.38.78United States
AS15169GOOGLE
6142.251.38.74United States
AS15169GOOGLE
6216.58.210.142United States
AS15169GOOGLE
6216.58.209.170United States
AS15169GOOGLE
618.210.227.248Ashburn, Virginia, United States
AS14618AMAZON-AES
6216.58.209.195United States
AS15169GOOGLE
6216.239.36.64United States
AS15169GOOGLE
6104.16.174.226United States
AS13335CLOUDFLARENET
654.94.91.200São Paulo, São Paulo, Brazil
AS16509AMAZON-02
17127--

Detected Technologies4

100%
50%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A8A31B2F59A4642F02AB80CAD672632D51A3D707CD2205DCFFB9439D878EDACE467294

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LiqXKGEDF92B9X6LiDoZ8Dok8lbIIP8LUdfpkAxRP8rFfJRG6dUfUXZIx1YA47l:LxXKGmFEvXYiDoKDokkkFo1f47l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104835:AQFSopCgRxkBrkkhhBxkCwYEFjgEYUtgQWAEMQBCAkHEgIDRSVBG0IAXJLxiQbYKiDAUEBiAZYJCpFQBac8yAFyZYBh5xDQM

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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