Security Scan Report: sd.fuv.edu.br

Submitted: Nov 15, 2025, 11:14:26 PMCompleted: Nov 15, 2025, 11:16:27 PMpubliccompleted
Loading additional data...

Summary

This website contacted 35 IPs in 0 countries across 7 domains to perform 16 HTTP transactions. The main domain is sd.fuv.edu.br and was registered NaN years ago.

Submitted URL: https://sd.fuv.edu.br/boa-grand-nationals-2025-results-finals/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns identified; site appears legitimate.

Safety Factors
Well‑established domain with over 7 years of age
UNRANKED status alone is not a strong indicator
No suspicious content or brand impersonation detected
Domain age information unavailable

Details

Page Title

BOA Grand Nationals 2025: Finals Results & Recap

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(67%)

Domain Information

The domain name 'sd.fuv.edu.br' uses the Brazilian country-code top-level domain (.edu.br) and includes subdomain 'sd'. The core label 'fuv' covers 3 characters containing one vowel alongside two consonants. Word splitting yields two words: fu, v. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sd.fuv.edu.br/boa-grand-nationals-2025-results-finals/

Page Load Overview

103.33s
Total Load Time
16
HTTP Requests
7
Domains
165 KB
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-US
Text Length:33,347 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
67%
education
45%
news/blog
45%
corporate
35%
adult content
34%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16104.20.11.41UnknownUnknown
0150.171.28.10UnknownUnknown
0172.240.108.68UnknownUnknown
0104.245.107.215UnknownUnknown
0192.241.160.156UnknownUnknown
0172.240.127.244UnknownUnknown
0142.4.219.198UnknownUnknown
0104.21.86.41UnknownUnknown
02606:4700:3030::ac43:d680UnknownUnknown
0149.56.240.131UnknownUnknown
1635--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T133F35CE6AB20163B1F5B02B1B09F22C771B5D926A7454452F0ACC0681F99DF212F7F9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3/AIwG2CNSlLYUT+uibkMrDD44OqCf2ifqippxZfrXF3ft72297CKJas9gj+w6f4:vL2CNSlLfi3DD44ofF5ppxZTXF3ft17k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:167471:LZgYJwLKABkWAAgAIAAxQMZEZEICdQAsJUYS9GZABq4QsFsJoHFkmIAIpfjhYg7EYA3BIHgIRXMQQUsUlAgWCAAIEEAAIgCY

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:ff978f8787ff9f87
Perceptual Hash:becacdc134c1d12e
Difference Hash:d02f3f3e2eda2e3e
Wavelet Hash:ff858783838b8783
Color Hash:#e0946c

Scan History

Scan history not available

Unable to load historical scan data