Security Scan Report: www.cnnbrasil.com.br

Submitted: Oct 22, 2025, 1:52:47 AMCompleted: Oct 22, 2025, 1:54:05 AMpubliccompleted
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Summary

This website contacted 133 IPs in 5 countries across 40 domains to perform 152 HTTP transactions. The main domain is cnnbrasil.com.br and was registered NaN years ago.

Submitted URL: https://www.cnnbrasil.com.br/esportes/futebol/futebol-internacional/sulamericana/del-valle-x-atletico-mg-horario-e-onde-assistir-ao-jogo-da-sul-americana/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Established, long‑standing domain
Official CNN Brasil branding on final URL
Only standard search form present
Domain age information unavailable

Details

Page Title

Del Valle x Atlético-MG: horário e onde assistir ao jogo da Sul-Americana | CNN Brasil

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

entertainment media

(92%)

Domain Information

The domain name 'www.cnnbrasil.com.br' uses the Brazilian country-code top-level domain (.com.br) with subdomain 'www'. The registrable portion 'cnnbrasil' spans 9 characters containing 2 vowels alongside seven consonants. Breaking it apart gives 2 words: cnn, brasil. Median word length comes out to 4.5 characters. 'cnn' most often appears in Spanish. You will also see it in Galician and Indonesian contexts. Taken together, it feels Spanish.

Screenshot

Security scan screenshot of https://www.cnnbrasil.com.br/esportes/futebol/futebol-internacional/sulamericana/del-valle-x-atletico-mg-horario-e-onde-assistir-ao-jogo-da-sul-americana/

Page Load Overview

22.50s
Total Load Time
152
HTTP Requests
40
Domains
2.2 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:4,403 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media92% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
92%
news media journalism
86%
social media network
45%
news/blog
35%
adult content
28%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2018.244.18.122United States
AS16509AMAZON-02
1192.0.66.182San Francisco, California, United States
AS2635AUTOMATTIC
118.245.64.167United States
AS16509AMAZON-02
1184.30.208.159Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
118.244.18.27United States
AS16509AMAZON-02
1142.250.185.162United States
AS15169GOOGLE
1192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
1104.18.86.42United States
AS13335CLOUDFLARENET
1216.58.206.33United States
AS15169GOOGLE
118.245.46.29United States
AS16509AMAZON-02
152133--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F94F8673105D5A8E84B9D89657CFE39908FA0D7C9B7DCF8E2D9CA1903C58B86F426C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0f0kq414gJRkLPe4Pf9qpwGMLV460x1aZBGu7MOhKJeO1FExJuE1wOYZsuVPhCmJ:0f0kq4ug0Pe4Pf9qpwUiwCYYs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:415250:ZAwsQJgwFLzESF/BAOVAogUAsIISBHRAKIAKgEL4Qkk2SKUpAiQ6oJA+TKmYLDYEdUIYEjACDMQReIAyYCA5gRk8ikCMiUVB

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:00ffffffffc78185
Perceptual Hash:ba447b340e7b344b
Difference Hash:294cc13d381e1b29
Wavelet Hash:00ff03ff9f878181
Color Hash:#6ce096

Scan History

Scan history not available

Unable to load historical scan data