Security Scan Report: alvezzdk.vercel.app

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Submitted: Sep 26, 2026, 7:50:44 AMCompleted: Sep 26, 2026, 7:52:11 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Fake 'Nubank App' sold on vercel.app that generates forged Nubank notifications and payment receipts — an impersonation/fraud tool. Brand impersonation of Nubank; avoid and report.

Risk Factors
Impersonation of Nubank brand on a domain not owned by Nubank
Facilitates financial fraud through forged bank notifications and payment receipts
Sold as an unranked subdomain on free hosting (vercel.app) with no attributable domain age
Deceptive marketing claims (lifetime license, instant access) urging purchase
Domain age information unavailable

Details

Page Title

Nubank App

Scan Type

public

Domain Name Analysis

Domain 'alvezzdk.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'alvezzdk'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. Breaking it apart gives two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.89s
Total Load Time
3.6 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,258 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

finance banking81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
81%
e-commerce shopping
76%
technology software
67%
social media network
64%
adult content
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
222--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140927374B402DAAB645B4DAA71798F3A60E9CB2FC977C95CB3DCCA8517C6C704F81640

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:YflkuVvFlcHSMbQiMlGlcqFN6MANijSy9K5cuDlehY:YflkuVdlcHSMkdGlcqFN6MAN8Sy9Kaut

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19541:JCMwMSBAKByABh9UAMmEggBAAoFJ1cIoBRTAgCRAJeswwWodnlQACihCIIgAKWdQRShABGCSEkJEQGJBhFIwmgE/qYGCKQUB

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:fee7e7e7c3c3c3c7
Perceptual Hash:f3d354dcd4505274
Difference Hash:804d4c489696960d
Wavelet Hash:66e6e6e7c3c3c300
Color Hash:#539fac

Scan History

Scan history not available

Unable to load historical scan data