Security Scan Report: v0-noticiasdodia.vercel.app

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Submitted: Aug 10, 2026, 8:50:19 PMCompleted: Aug 10, 2026, 8:51:35 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is v0-noticiasdodia.vercel.app and was registered NaN years ago.

Submitted URL: https://v0-noticiasdodia.vercel.app/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site shows no malicious forms, IoCs, or malware; it is low risk despite being an unranked Vercel subdomain.

Safety Factors
Content appears to be news/ informational
No malicious scripts or external links
Unranked domain but no brand impersonation or phishing elements
Domain age information unavailable

Details

Page Title

Redirecionador

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

documentation technical

(90%)

Domain Information

The domain name 'v0-noticiasdodia.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'v0-noticiasdodia'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://v0-noticiasdodia.vercel.app/

Page Load Overview

2.01s
Total Load Time
28
HTTP Requests
1
Domains
14.1 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:1,984 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical90% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
90%
education learning
54%
government public service
33%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28216.198.79.3United States
AS16509Amazon.com, Inc.
281--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112137535A505DE5DEC1B3F9C247EAE39108DC66EC657CEA492ECD92047C6C78AF829C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:PUuxFpV8p3N7j/5VY9Z/Et5Wl3JMmN4+F5Ac:h/V+0/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41560:3BCkEAAw5QxMjTDDAIUTRACSKIuFhEQkjFeucQNBDopHRDZhEARgsDSC4OmCJbBSAuiQIoAPAPitWDEJYMoRKQhglgECJ4gA

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:00f3c3c3c3fbffdf
Perceptual Hash:ec649643381b1b6f
Difference Hash:262626161612323c
Wavelet Hash:00c3c38383c3fbdf
Color Hash:#bf406a

Scan History

Scan history not available

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