Security Scan Report: clone-picpay.vercel.app

Submitted: Sep 19, 2026, 4:50:09 AMCompleted: Sep 19, 2026, 4:50:30 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Unranked vercel.app subdomain explicitly named "clone-picpay" reproduces PicPay branding and content, impersonating a financial brand with no disclosure. No forms or malware, but brand impersonation drives HIGH_RISK.

Risk Factors
Brand impersonation of a different entity (PicPay) on a domain that is not PicPay's official domain
Explicit self-labelled clone of a financial brand
Unranked, free hosting-platform subdomain with no verifiable ownership
Domain age information unavailable

Details

Page Title

clone_picpay

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'clone-picpay.vercel.app' is registered and includes subdomain 'clone-picpay'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://clone-picpay.vercel.app/

Page Load Overview

0.37s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-br
Text Length:321 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking95% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
95%
cryptocurrency blockchain
85%
technology software
61%
corporate business
30%
e-commerce shopping
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
62--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10741F26545F126B353928090AEB69A0A6F84D907FA2F5A407ABC46C11FC7DC3DE97218

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hLCdQ1N1bHCkhF31zXSuLTs2a1hkGo16P6MoMUj:SgBNDFeu02aPkGa6P63V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1913:AgAAAEBgAAAAAgCAACAIEYgAAEAAABAAAoAACQAAEMAgAEAAIQQAAAKCAAQAAAAAAEiiAACAgAQAEACAQAABAAAAAABAECAQ

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:fffff1f0f8000000
Perceptual Hash:cac7b491c8d616da
Difference Hash:cc2b69631343bcbd
Wavelet Hash:fffff5f1f8000000
Color Hash:#bf7740

Scan History

Scan history not available

Unable to load historical scan data