Security Scan Report: noticias.uol.com.br

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Submitted: Dec 9, 2025, 7:58:23 AMCompleted: Dec 9, 2025, 8:00:04 AMpubliccompleted
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Summary

This website contacted 220 IPs in 7 countries across 74 domains to perform 239 HTTP transactions. The main domain is noticias.uol.com.br and was registered NaN years ago.

Submitted URL: https://noticias.uol.com.br/internacional/

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

AI Security Verdict

Safe Website

Confidence: 95%

2
Risk Score

Legitimate news site with optional login; no security concerns detected.

Safety Factors
Well‑established domain with long registration history
High reputation ranking (top 100k) in Cisco Umbrella
No malicious Indicators of Compromise detected
Content matches known legitimate news brand (UOL Notícias)
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by access_denied bot protection. Our scanner was challenged or blocked during access.

Page Title

Internacional | Últimas Notícias do Mundo Hoje - UOL Notícias

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(51%)

Domain Information

The domain name 'noticias.uol.com.br' uses the Brazilian country-code top-level domain (.com.br) and includes subdomain 'noticias'. The second-level label 'uol' is 3 characters long holding 2 vowels versus 1 consonant. Segmentation suggests 2 words: u, ol. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://noticias.uol.com.br/internacional/

Page Load Overview

33.92s
Total Load Time
239
HTTP Requests
74
Domains
3.5 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:44,469 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
51%
corporate business
50%
cryptocurrency blockchain
32%
social_media
25%
news/blog
20%

Detected Features

Login Form
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20104.18.176.126United States
AS13335CLOUDFLARENET
113.33.52.91New York, New York, United States
AS16509AMAZON-02
165.9.175.116United States
AS16509AMAZON-02
134.54.237.10Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
152.242.103.142Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1184.24.77.79Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
137.252.171.22Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
113.226.244.87United States
AS16509AMAZON-02
189.149.193.112Netherlands
AS60781LeaseWeb Netherlands B.V.
118.244.18.38United States
AS16509AMAZON-02
239220--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T171B4DB3272001E3FA72B41C4A745970AB1E7E21FF8D94450B69E471CC7E6EF8A51D2AB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:IeyzjMQotsi/Q70zJ/litCrKMQfbjVOmXxNVpirYiAhisnMKA:SEJ/litCrdQfbjVnXxNVpiU3MKA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500482:kQ6ABWqIBCsigRCqILCigH5KUITIASECjIBKQKdCChDEoITQduACBCFEUEBNQKhKEhBEAtgBW6IMAItEEIlXbUABQGFoXUn1

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:0018181c1c1c0000
Perceptual Hash:9cc163363e36c99c
Difference Hash:0f32b2323232203c
Wavelet Hash:81183c9f9f9f9f00
Color Hash:#ac5397

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data