ScanMalware.com

Security Scan Report: metropoledigital.ufrn.br

Submitted: Jul 3, 2026, 11:29:59 AMCompleted: Jul 3, 2026, 11:31:32 AMpubliccompleted
Loading additional data...

Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 1 HTTP transaction. The main domain is metropoledigital.ufrn.br and was registered NaN years ago.

Submitted URL: https://metropoledigital.ufrn.br

The Cisco Umbrella rank of the primary domain is #431,011 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate: old university subdomain, self‑branded, no forms or malicious indicators.

Safety Factors
Old, well‑established domain
Self‑branding matches domain (no impersonation)
Zero forms – no data collection
No external links or cross‑origin requests
No threat‑intel or malware detections
Domain age information unavailable

Details

Page Title

metropoledigital.ufrn.br

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

Within the Brazilian country-code top-level domain (.br), 'metropoledigital.ufrn.br' is registered; it also runs on subdomain 'metropoledigital'. Count 4 characters in 'ufrn' with one vowel and 3 consonants. Breaking it apart gives two words: uf, rn. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metropoledigital.ufrn.br

Page Load Overview

8.10s
Total Load Time
1
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:768 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
52%
adult content
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
154.232.5.20Aws · CLOUDSão Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
0142.251.151.119Google · CDNUnited States
AS15169Google LLC
0142.251.110.97Google · CDNUnited States
AS15169Google LLC
0177.20.150.245Parnamirim, Rio Grande do Norte, Brazil
AS262857UNIVERSIDADE FEDERAL DO RIO GRANDE DO NORTE
0177.20.147.189Parnamirim, Rio Grande do Norte, Brazil
AS262857UNIVERSIDADE FEDERAL DO RIO GRANDE DO NORTE
0151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
17--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B0048F77329A063986558498E05B430D9F20B543F50AC9BC79BCBAD8BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:B/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPY2bMy8OldZ:ChoC9JSqzzbs6okSjggcpsA2eAv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187951:IACcCwAKgGBRiCsF4KQECoIxKoM4GQQFNlA18EpNQNBoUQZRQUQ6CBKQ8FqASBKCAxIEE9AbMkqgMB8APADBKhBXAEVBSTYA

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:3f1f0707003c3030
Color Hash:#5f2d86

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data