Security Scan Report: jornaleconomico.sapo.pt

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Submitted: Oct 4, 2026, 9:53:42 PMCompleted: Oct 4, 2026, 9:54:57 PMpubliccompleted

This website contacted 67 IPs in 4 countries across 45 domains to perform 177 HTTP transactions. The main domain is jornaleconomico.sapo.pt and was registered 4 years 10 months ago.

Submitted URL: https://jornaleconomico.sapo.pt/noticias/o-que-esperar-de-2026-brasil-prepara-se-para-eleicoes-e-novos-atritos-entre-congresso-e-supremo/

The Cisco Umbrella rank of the primary domain is #57,695 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Portuguese news outlet (Jornal Económico) publishing an article on Brazil's 2026 elections. Established 4-year-old ranked domain, no forms, no impersonation, no threat intel.

Safety Factors (5)
Established news domain (4+ years, ranked in top 100K).
Content is genuine journalism with byline-style reporting and standard news layout.
No credential or payment collection of any kind.
No cross-origin credential exfiltration; third-party scripts are ranked ad/analytics hosts.
ZeroSSL and eval()/Function() signals are routine SSL/CDN/analytics infrastructure, not malicious.
Domain age information unavailable

Details

Page Title

O que esperar de 2026: Brasil prepara-se para eleições e novos atritos entre Congresso e Supremo | Jornal Económico

Scan Type

public

Domain Name Analysis

You're looking at domain 'jornaleconomico.sapo.pt' on the Portuguese country-code top-level domain (.pt), featuring subdomain 'jornaleconomico'. The registrable portion 'sapo' spans 4 characters containing two vowels alongside two consonants. Breaking it apart gives two words: s, apo. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jornaleconomico.sapo.pt/noticias/o-que-esperar-de-2026-brasil-prepara-se-para-eleicoes-e-novos-atritos-entre-congresso-e-supremo/

Page Load Overview

12.69s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-PT
Text Length:7,648 chars
Detector Agreement:80%

Website Classification

Primary Category

news media journalism48% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
48%
news/blog
35%
corporate
35%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
45185.15.23.159Portugal
AS24768Almouroltec Servicos De Informatica E Internet Lda
2142.251.110.155Google · CDNUnited States
AS15169Google LLC
2104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
23.160.150.36Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2104.26.14.236Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
254.192.35.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
254.192.35.85Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2213.13.146.180Porto, Porto, Portugal
AS3243Servicos De Comunicacoes E Multimedia S.A.
17767--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A024183689952077720797D8A0A9F23D76538107DF13CC91B6ECA7A8AFC1EE6092371D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RJ/UMjqynQvcUr2Y4S4UmisSPsAI7cHtyUm6P1H85u9bXqUhntr3/5Wmc9d7:RJ3qDp199Hd/o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:220309:TcEQCwCl4TiFSCAMkCCAKBAwGiALChShRIAbSA0GU6AlqJSQxAgIEYZyIKEALQMwJooR4wwAFpoBoJYGal9lCJVUGABdAYMh

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:0000000000c7ffff
Perceptual Hash:a03fc1365a857ab5
Difference Hash:31219d9d0d8caeb0
Wavelet Hash:0000010143e7ffff
Color Hash:#e06c6c

Scan History

Scan history not available

Unable to load historical scan data