Security Scan Report: sociedade-eight.vercel.app

Submitted: Sep 14, 2026, 4:50:10 PMCompleted: Sep 14, 2026, 4:50:30 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Phishing page impersonating Nubank, using a vercel.app subdomain to collect CPF and phone numbers and exfiltrate them to vendedorcarteiraolx.online. Confirmed fraud — do not submit any data.

Risk Factors
Impersonation of the Nubank brand on a non-official domain
Harvesting of CPF and phone number via data-collection form
Cross-origin POST of user data to suspicious external domain vendedorcarteiraolx.online
Unranked domain on free hosting platform abused by threat actors (IDS alerts)
Domain age information unavailable

Details

Page Title

Formulário de CPF e Telefone

Scan Type

public

Domain Name Analysis

The domain 'sociedade-eight.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'sociedade-eight'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. It segments into 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sociedade-eight.vercel.app/

Page Load Overview

0.36s
Total Load Time
432 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-br
Text Length:362 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking87% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
87%
adult content
62%
government public service
48%
real estate property
36%
healthcare medical
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
42--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E32825A35F30085AA4378BC1BEB91003239E403E849CE787E5C5364AF9A9C095F7BEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:o6S9Gbr4S1wqv8ExQ8FBOSYQ93ygJOu+keOpEUnhK8hYequISSz0w/vioMj:u8FAu+keEE+hLhX/dw/6z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11158:IQCoiBtl4WqgRDIAhWoTIDCmAQCGoIRiC8icCDgH2aTSCBT0ggQIDCAicPUCM4EFB0YLiwIIQEMCQBEnSMLXRBlEBgrXJkAi

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:fefee6e6eee6feff
Perceptual Hash:f7dc8c3389662299
Difference Hash:00000c0c1c0c0c00
Wavelet Hash:00fee2e22626243c
Color Hash:#6ce0b1

Other Hashes

Crop Resistant:00000c0c1c0c0c00

Scan History

Scan history not available

Unable to load historical scan data