Security Scan Report: www.projetobrumadinho.ufmg.br

Redirected to: https://cloudsportek.com/ok/h1t0ml/?axe

Submitted: Dec 24, 2025, 6:00:39 AMCompleted: Dec 24, 2025, 6:01:38 AMpubliccompleted
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Summary

This website contacted 13 IPs in 4 countries across 12 domains to perform 58 HTTP transactions. The main domain is cloudsportek.com and was registered NaN years ago.

Submitted URL: http://www.projetobrumadinho.ufmg.br/sites/default/files/webform/queremos_te_ouvir/_sid_/video-mia-goth-xxx-xxx-xxx-xnx-sex-xvideo-bf-xxxx-67w401.html

Effective URL: https://cloudsportek.com/ok/h1t0ml/?axeRedirected

The Cisco Umbrella rank of the primary domain is #215,552 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security threats detected; site appears legitimate.

Safety Factors
Established domain age reduces risk
Absence of forms collecting sensitive data
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

ENJOY NOW HIGH QUALITY - 1080PX

Scan Type

public

Language

🇺🇸

English

(31% confidence)

Category

entertainment media

(66%)

Domain Information

You're looking at domain 'www.projetobrumadinho.ufmg.br' on the Brazilian country-code top-level domain (.br) and includes subdomain 'www.projetobrumadinho'. The registrable portion 'ufmg' spans 4 characters with one vowel and 3 consonants. Segmentation suggests two words: uf, mg. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.projetobrumadinho.ufmg.br/sites/default/files/webform/queremos_te_ouvir/_sid_/video-mia-goth-xxx-xxx-xxx-xnx-sex-xvideo-bf-xxxx-67w401.html

Page Load Overview

39.64s
Total Load Time
58
HTTP Requests
12
Domains
209 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:31%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:31%
Script Type:Latin
Text Length:185 chars
Detector Agreement:67%

Website Classification

Primary Category

entertainment media66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
66%
technology software
61%
cryptocurrency blockchain
54%
news media journalism
38%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10216.58.210.129United States
AS15169GOOGLE
492.113.23.153Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
4172.240.253.132United States
AS7979SERVERS-COM
4172.240.127.243United States
AS7979SERVERS-COM
4172.240.127.244United States
AS7979SERVERS-COM
4172.240.127.242United States
AS7979SERVERS-COM
4216.58.209.168United States
AS15169GOOGLE
4150.164.7.157Belo Horizonte, Minas Gerais, Brazil
AS271354UNIVERSIDADE FEDERAL DE MINAS GERAIS
4104.20.10.41United States
AS13335CLOUDFLARENET
4149.56.240.27Montreal, Quebec, Canada
AS16276OVH SAS
5813--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A622E7676DF74155187BD2A0BBBA934D3570D007E802C94879ED8281CFDDEDA88A36D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:/RPKSc8XNLvnFMhQH3G7tPeM7LMSmrLRUHM8hE1Pej+QC6hWvDvhUbrOPpKWLRUF:/RPjBluHBV4C7keV7iZipiZiriqi1iau

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10772:DoSfABBGJWCEWiqRwCEagRRxgYErAxEiByoQAgEwIJISpcBCjmAgAZiJQECloKeDQdBYDIddaZ4INQFgqEhQAJ1UggHCBEIB

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:003c3c3c3c000000
Perceptual Hash:9b9b65643066659b
Difference Hash:b279797979320810
Wavelet Hash:183c3c3c3c3c0000
Color Hash:#722dd2

Scan History

Scan history not available

Unable to load historical scan data