Security Scan Report: yaconews.com

Submitted: Nov 1, 2025, 1:21:46 PMCompleted: Nov 1, 2025, 1:23:13 PMpubliccompleted
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Summary

This website contacted 45 IPs in 3 countries across 14 domains to perform 71 HTTP transactions. The main domain is yaconews.com and was registered NaN years ago.

Submitted URL: https://yaconews.com/2025/11/novo-romance-whindersson-nunes-levanta-rumores-de-namoro-com-modelo-durante-viagem/

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Potential phishing site due to login form on an unranked domain.

Risk Factors
Credential harvesting form (email/username + password) on a non‑brand domain
Unranked domain may be used for impersonation or credential collection
Domain age information unavailable

Details

Page Title

Novo romance? Whindersson Nunes levanta rumores de namoro com modelo durante viagem - YacoNews

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

news/blog

(35%)

Domain Information

You're looking at domain 'yaconews.com' on the commercial generic top-level domain (.com) with no subdomain. The second-level label 'yaconews' is 8 characters long split between 3 vowels and five consonants. Word splitting yields three words: ya, co, news. Median word length is 2 characters. 'ya' most often appears in Czech. You will also see it in Polish and Indonesian contexts.

Screenshot

Security scan screenshot of https://yaconews.com/2025/11/novo-romance-whindersson-nunes-levanta-rumores-de-namoro-com-modelo-durante-viagem/

Page Load Overview

31.94s
Total Load Time
71
HTTP Requests
14
Domains
1.9 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:6,743 chars
Detector Agreement:80%

Website Classification

Primary Category

news/blog35% confidence
Type: webapp
Method: ml+structural

All Detected Categories

news/blog
35%
education learning
26%
healthcare medical
26%

Detected Features

Login Form
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
1104.17.25.14United States
AS13335CLOUDFLARENET
1151.101.2.137San Francisco, California, United States
AS54113FASTLY
1104.18.10.207United States
AS13335CLOUDFLARENET
1192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
1188.114.97.3United States
AS13335CLOUDFLARENET
123.192.152.19Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1188.114.96.3United States
AS13335CLOUDFLARENET
1192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
1216.58.212.138United States
AS15169GOOGLE
7145--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DAC3B3B34570107B8AA703C4B5747F1DE682861EDF9A5AC5E3F9C7C867C0EB2E864168

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:90FI/y0y4PiDF3Q5W+QQCFmasXb+HJTLQ5nMh3Tr4yXPQkfJsCPZMYBPZWb1EQ3A:90Fy6DF3Q5W+QQCFmasXb+HJTLQ5nMhP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124473:QJNBABpcIABQc0dBAcClCPoEkArSALKAGWS19CEtgCgIEwAF5JAhIzpAgQcFHJyCQBI1AGiKhoEqgiA0/CEBA+YMgQAgCxj0

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:00efcfc387ffffff
Perceptual Hash:bd49436c364d4d3a
Difference Hash:b2193b2f0f333b3c
Wavelet Hash:00858b9b83c3cfdf
Color Hash:#d22d6c

Scan History

Scan history not available

Unable to load historical scan data