Security Scan Report: www1.folha.uol.com.br

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Submitted: Dec 9, 2025, 8:02:25 AMCompleted: Dec 9, 2025, 8:03:53 AMpubliccompleted
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Summary

This website contacted 171 IPs in 5 countries across 34 domains to perform 100 HTTP transactions. The main domain is www1.folha.uol.com.br.

Submitted URL: https://www1.folha.uol.com.br/bbc/

The Cisco Umbrella rank of the primary domain is #27,232 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news page with no security concerns

Safety Factors
Legitimate news organization hosting
No credential or payment collection
Cisco Umbrella ranking within top 100k (low ranking but still reputable)
No redirects or URL manipulation detected
Domain age information unavailable

Details

Page Title

BBC Brasil: Principais Notícias | Folha

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

news media journalism

(39%)

Domain Information

You're looking at domain 'www1.folha.uol.com.br' on the Brazilian country-code top-level domain (.com.br), featuring subdomain 'www1.folha'. The second-level label 'uol' is 3 characters long with two vowels and 1 consonant. Tokenizing the label suggests two words: u, ol. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www1.folha.uol.com.br/bbc/

Page Load Overview

14.01s
Total Load Time
100
HTTP Requests
34
Domains
1.7 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:32,020 chars
Detector Agreement:80%

Website Classification

Primary Category

news media journalism39% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
39%
education learning
28%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10018.244.18.122United States
AS16509AMAZON-02
0200.147.100.59Brazil
AS7162Universo Online S.A.
065.8.131.30United States
AS16509AMAZON-02
013.32.99.92New York, New York, United States
AS16509AMAZON-02
013.32.99.78New York, New York, United States
AS16509AMAZON-02
052.92.237.250Boardman, Oregon, United States
AS16509AMAZON-02
03.12.227.14Columbus, Ohio, United States
AS16509AMAZON-02
0142.250.185.100United States
AS15169GOOGLE
013.32.99.58New York, New York, United States
AS16509AMAZON-02
0142.250.186.155United States
AS15169GOOGLE
100171--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EB4E8217999153E12DB13E2B66AE70520CBED55CA9109C8F3FE53BE37E2DE0634A40D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:CGT4vN7nzAnswxFWxIyxa+naYsd4CYtBtY:wy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500891:K6hgHEhwCpkMIHCQQTBwQQRSqVIEljIGAEQUQ4EEG0ADYRAlRB4BFSSI4Qpi4QCgAbACHmAhJN9QyKCQYFQ2GeKmKAMw4IMI

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:0000383d1d1d0101
Perceptual Hash:98556334cde39c4b
Difference Hash:4d6933333333333b
Wavelet Hash:0000ffbf9f9f8189
Color Hash:#1f934e

Scan History

Scan history not available

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