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Security Scan Report: saude.abril.com.br

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Submitted: Oct 1, 2026, 10:56:37 PMCompleted: Oct 1, 2026, 10:57:52 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/0e58650b-da69-47b7-a33f-9f5faf9f3fb2Domain and IP registration (RDAP)/api/v1/rdap/0e58650b-da69-47b7-a33f-9f5faf9f3fb2Certificate Transparency/api/v1/ct/saude.abril.com.brHow often this domain was scanned/api/v1/domain/stats/saude.abril.com.brScan history for this domain/api/v1/domain/history/saude.abril.com.br?limit=15

This website contacted 179 IPs in 9 countries across 136 domains to perform 499 HTTP transactions. The main domain is saude.abril.com.br and was registered 15 years ago.

Submitted URL: https://saude.abril.com.br/medicina/quem-e-lito-sousa-doenca/

The Cisco Umbrella rank of the primary domain is #235,564 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Veja Saúde news article about an influencer's illness on the long-established Abril domain; no phishing, malware, impersonation, or credential/payment forms detected.

Safety Factors (5)
Domain is 31 years old (registered 1995) and belongs to a well-known publishing group
Business legitimacy indicators present (physical address, established entity)
Article page with byline and rich editorial structure across sibling Abril titles
No forms collecting credentials or payment data
No threat-intel matches against the page or its loaded resources
Domain age information unavailable

Details

Page Title

Quem é Lito Sousa, influencer em busca de tratamento para doença que degenera o cérebro | Veja Saúde

Scan Type

public

Domain Name Analysis

The domain name 'saude.abril.com.br' uses the Brazilian country-code top-level domain (.com.br) and includes subdomain 'saude'. Count 5 characters in 'abril' split between two vowels and 3 consonants. Splitting it apart reveals two words: abr, il. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://saude.abril.com.br/medicina/quem-e-lito-sousa-doenca/

Page Load Overview

9.48s
Total Load Time
7.5 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:90,047 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network55% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
55%
news/blog
50%
healthcare medical
28%
forum
20%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143192.0.66.200San Francisco, California, United States
AS2635Automattic, Inc
2185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
2104.18.35.13Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.152.119Google · CDNUnited States
AS15169Google LLC
2142.251.20.97Google · CDNUnited States
AS15169Google LLC
2188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.0.66.2San Francisco, California, United States
AS2635Automattic, Inc
2157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
2104.19.220.32Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
499179--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC542A7196AA1076027703D0467BB258F1A69037CA88C4D4FFFC4364EFC9DE669636AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ptOVOo8ir6Zn2zMYQR46JsQVUqcD3YH+UmGmo+yW:ukovrqDZ7W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:296584:CSHEguAYEEK4KSzAjUAQgEpCACAAAikYPehfEsSkQEsBgDoFStGx3MGYY+EAiSBGIk4wQo7IQAcImCFBEQHEQXNQgE+BKEDE

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:e7ffffffc3ff8787
Perceptual Hash:b2cd32cf3413cf30
Difference Hash:0b8c00160e0e0d0d
Wavelet Hash:0000ffffc3c38787
Color Hash:#d23d2d

Other Hashes

Crop Resistant:0b8c00160e0e0d0d,92b092121192b2b3

Scan History

Scan history not available

Unable to load historical scan data