Security Scan Report: natalbauducco.vercel.app

Submitted: Dec 11, 2025, 3:53:31 AMCompleted: Dec 11, 2025, 3:54:22 AMpubliccompleted
Loading additional data...

Summary

This website contacted 41 IPs in 3 countries across 9 domains to perform 22 HTTP transactions. The main domain is natalbauducco.vercel.app.

Submitted URL: https://natalbauducco.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

High‑risk phishing site impersonating Bauducco; do not trust.

Risk Factors
Brand impersonation on an unusual, newly‑registered domain
New, unranked domain used for brand‑related content
Prize‑based social engineering tactic
Domain age information unavailable

Details

Page Title

KITS 2025 - Bauducco

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'natalbauducco.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'natalbauducco'. The second-level label 'vercel' is 6 characters long split between two vowels and four consonants. It segments into two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://natalbauducco.vercel.app/

Page Load Overview

28.54s
Total Load Time
22
HTTP Requests
9
Domains
1.3 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:1,861 chars
Detector Agreement:75%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22155.226.189.97Brazil
AS16509AMAZON-02
0142.250.185.227United States
AS15169GOOGLE
034.143.76.2United States
AS396982GOOGLE-CLOUD-PLATFORM
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0172.67.68.221United States
AS13335CLOUDFLARENET
064.29.17.3United States
AS16509AMAZON-02
0172.67.68.11United States
AS13335CLOUDFLARENET
0216.198.79.3United States
AS16509AMAZON-02
0157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
0104.26.3.143United States
AS13335CLOUDFLARENET
2241--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13003E96866F2007B2C5381E2DBC2775CBA35D183EE3BD5A9FA8D85016FC3AE54983744

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:HcJLrKLDhDJqQjhL73KHzR9mzyvT6oMZRpTWLRb:8dr4DhNqIhnaTR9ayGzK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38673:MkqEZICAUACBIpGoCLUoMIApjLAgCLWSPEA3AoTEztgLAc2gmtBOGkFLEha5EEGIkSAxEEUBXkSQCGEBAQMiCgQmdQB6UeBA

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:00e7cfc7ffffffff
Perceptual Hash:b133474e4c795959
Difference Hash:8c0c1c1614000000
Wavelet Hash:00c30000c3ffffff
Color Hash:#a179d2

Other Hashes

Crop Resistant:8c0c1c1614000000

Scan History

Scan history not available

Unable to load historical scan data