Security Scan Report: unb.br

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Submitted: May 16, 2026, 7:17:10 AMCompleted: May 16, 2026, 7:20:37 AMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 12 domains to perform 116 HTTP transactions. The main domain is unb.br and was registered NaN years ago.

Submitted URL: https://unb.br/

The Cisco Umbrella rank of the primary domain is #236,260 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

The site exhibits strong malicious indicators (critical IDS alerts, obfuscated JS) suggesting malware distribution; avoid interaction and report.

Risk Factors
Critical IDS alerts (malware/C2) – strong evidence
High JavaScript obfuscation and eval usage – moderate evidence
Low Cisco Umbrella ranking for a reputable brand – moderate evidence
Absence of legitimate security controls (e.g., no noindex, no CSP reported)
Domain age information unavailable

Details

Page Title

Universidade de Brasília - Início

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(79%)

Domain Information

Within the Brazilian country-code top-level domain (.br), 'unb.br' is registered. The registrable portion 'unb' spans 3 characters with one vowel and two consonants. Splitting it apart reveals two words: un, b. The median word length lands at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

27.98s
Total Load Time
197
HTTP Requests
21
Domains
10.2 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:8,922 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service79% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
79%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2756.125.208.57São Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
17151.101.193.229United States
AS54113Fastly, Inc.
17142.251.13.100United States
AS15169Google LLC
17142.251.110.154United States
AS15169Google LLC
17142.251.13.190United States
AS15169Google LLC
17192.178.183.100United States
AS15169Google LLC
17200.133.59.220Aracaju, Sergipe, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
17142.251.151.119United States
AS15169Google LLC
17142.250.154.100United States
AS15169Google LLC
17164.41.102.70Brasília, Federal District, Brazil
AS21506Fundacao Universidade de Brasilia
19711--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150E3D631C9C8193B025387C27164AB6AB0E78967DE235841F7BF07985BD8EA0C937B5D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:6GnXK7YZhYMFyrQDA0Z0aZUB+ZEczJxJMUJ+JyJWDQ+VjwCIjwC4jwCe8Yl:XXYMFbH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:149273:AggjIUCCgRJhC+QCZnFA8PUAANKwaGxBBA6gkKgIQYIGVAbJJRAwlgIRQBoMGhV8gGACOCgmBiQRBmqKDAItyhbIBcBigOBo

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:003fffffffff0f0f
Perceptual Hash:916e316f383f403b
Difference Hash:01c180f878f85a9a
Wavelet Hash:00007f1f1f7f0f0f
Color Hash:#8ec587

Scan History

Scan history not available

Unable to load historical scan data