Security Scan Report: www.unirio.br

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Submitted: Dec 12, 2025, 9:40:14 PMCompleted: Dec 12, 2025, 9:40:43 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 2 domains to perform 52 HTTP transactions. The main domain is unirio.br and was registered NaN years ago.

Submitted URL: https://www.unirio.br/

The Cisco Umbrella rank of the primary domain is #730,159 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Well-established domain age
No malicious Indicators of Compromise
No suspicious forms collecting credentials or payments
Cisco Umbrella ranking within top 1M
Content appears to be official university information
Domain age information unavailable

Details

Page Title

Notícias — Universidade Federal do Estado do Rio de Janeiro

Scan Type

public

Language

🇵🇹

Portuguese

(50% confidence)

Category

government public service

(37%)

Domain Information

You're looking at domain 'www.unirio.br' on the Brazilian country-code top-level domain (.br) and includes subdomain 'www'. Its registrable label 'unirio' stretches across 6 characters split between four vowels and two consonants. It segments into two words: uni, rio. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.unirio.br/

Page Load Overview

8.71s
Total Load Time
52
HTTP Requests
2
Domains
709 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:pt_BR
Text Length:7,749 chars
Detector Agreement:100%
Language mismatch: Declared as pt_br but detected as pt

Website Classification

Primary Category

government public service37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
37%
news media journalism
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12151.101.130.137San Francisco, California, United States
AS54113FASTLY
5200.156.24.171Rio de Janeiro, Rio de Janeiro, Brazil
AS2715Fundacao Carlos Chagas Filho de Amparo a Pesquisa
5151.101.194.137San Francisco, California, United States
AS54113FASTLY
52a04:4e42:200::649United States
AS54113FASTLY
52a04:4e42:400::649United States
AS54113FASTLY
5151.101.2.137San Francisco, California, United States
AS54113FASTLY
52a04:4e42:600::649United States
AS54113FASTLY
52a04:4e42::649United States
AS54113FASTLY
5151.101.66.137San Francisco, California, United States
AS54113FASTLY
529--

Detected Technologies3

JQueryv1.12.4
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18263723285D678378712D3B66AF06F6DEA82550BD5934E81F2FC07816FE5E41AC1323A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:15DaLzFfjD2WXOtt0JxcWipHUDMuBUqTW03M9Xo1Jx:1qDXXOtt0JxcWipHUDMc47Xo1T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:69764:E+VwFAp+E0oRSAtFHBiGoCFAPDAIGBMqUGUgA4BUQhABCEwAyQEkgWLAIBCHwhAmXUEFGKwAiiwCxSj0vMaEApUSCpkQik1T

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:c3c3fbfbebcfefff
Perceptual Hash:f96c3431646693ce
Difference Hash:0e162202121a1a2c
Wavelet Hash:83c3c3c3c3c3c3c7
Color Hash:#87c591

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data