Security Scan Report: ajn1.com.br

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Submitted: Oct 4, 2026, 9:47:28 PMCompleted: Oct 4, 2026, 9:49:04 PMpubliccompleted

This website contacted 6 IPs in 2 countries across 5 domains to perform 67 HTTP transactions. The main domain is ajn1.com.br and was registered 14 years ago.

Submitted URL: https://ajn1.com.br/eleicoes-2026-lula-derrotaria-flavio-bolsonaro-ratinho-jr-e-tarcisio-de-freitas-nos-dois-turnos-aponta-quaest/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Established 16-year-old Brazilian news portal (AJN1) serving a political poll article. Self-branded, article-type content, only an internal search form, no credential or payment collection and no threat-intel hits.

Safety Factors (4)
Domain age over 16 years with no adverse reputation history
Article-type content with byline-style editorial structure and attribution to Quaest polling data
All outbound script hosts are mainstream (Google Analytics, Google Tag Manager, Cloudflare CDN, Google Fonts)
No credential, login or payment collection on the page
Domain age information unavailable

Details

Page Title

Eleições 2026: Lula derrotaria Flávio Bolsonaro, Ratinho Jr e Tarcísio de Freitas nos dois turnos, aponta Quaest - AJN1 - Portal de Noticias

Scan Type

public

Domain Name Analysis

Within the Brazilian country-code top-level domain (.com.br), 'ajn1.com.br' is registered without a subdomain. Count 4 characters in 'ajn1' holding 1 vowel versus two consonants, plus 1 digit. Splitting it apart reveals three words: a, jn, 1. Expect 1 character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ajn1.com.br/eleicoes-2026-lula-derrotaria-flavio-bolsonaro-ratinho-jr-e-tarcisio-de-freitas-nos-dois-turnos-aponta-quaest/

Page Load Overview

41.85s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:6,029 chars
Detector Agreement:100%
Language mismatch: Declared as en-US but detected as pt

Website Classification

Primary Category

social media network46% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
46%
corporate
35%
adult content
28%
news media journalism
26%
news/blog
20%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1245.148.96.24Porto Alegre, Rio Grande do Sul, Brazil
AS53107EVEO S.A.
11192.178.183.97Google · CDNUnited States
AS15169Google LLC
11104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
11192.178.183.94Google · CDNUnited States
AS15169Google LLC
11216.239.32.36Google · CDNUnited States
AS15169Google LLC
11104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
676--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12583077778853037272782C49950770EA40AB08BCA55CDD2F3E8A7ADEFD4EF5162294E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:fWjFf2sYrF/+IDhlG2bgqgbIG8bUvyuUHAAEZghjAA16EY6WtZA2otrz:fWijQod16ta2A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86335:gcpBSMGFBpQ0CZUHDcQJAG1JkQUSiRQQgDDIAQQbY9gMQ4KkAQkQlmChJFKLIEZPpCSISIgHdAG1h7CgIxioGQIqDxqLAwVG

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:0018f9fbc3cfc7df
Perceptual Hash:b94916364c7bc93a
Difference Hash:b0f333233f1e1e3e
Wavelet Hash:0000f9fbc38787df
Color Hash:#2d5886

Scan History

Scan history not available

Unable to load historical scan data