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Security Scan Report: tu-cupo-ec.vercel.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/cc4ae66a-87ab-4f1c-a6c8-56161963e5fcDomain and IP registration (RDAP)/api/v1/rdap/cc4ae66a-87ab-4f1c-a6c8-56161963e5fcHow often this domain was scanned/api/v1/domain/stats/tu-cupo-ec.vercel.appScan history for this domain/api/v1/domain/history/tu-cupo-ec.vercel.app?limit=15
This website contacted 4 IPs in 2 countries across 3 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://tu-cupo-ec.vercel.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Banco Pichincha loan page on a vercel.app subdomain that impersonates the bank to harvest personal data (name, cédula, phone). Not the bank's official site — do not submit information.

Risk Factors (5)
Brand impersonation of Banco Pichincha on a non-official vercel.app subdomain
Personal data harvesting form (name, cédula, phone) under a bank's identity
Loan/credit pre-approval lure used to solicit personal information
Unranked domain presenting as a major financial institution
Network IDS alerts flagging vercel.app as a commonly actor-abused cloud hosting service
Domain age information unavailable

Details

Page Title

Crédito en Línea - Banco Pichincha

Scan Type

public

Domain Name Analysis

Domain 'tu-cupo-ec.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'tu-cupo-ec'. The core label 'vercel' covers 6 characters containing two vowels alongside 4 consonants. It segments into 2 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://tu-cupo-ec.vercel.app/

Page Load Overview

3.30s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:892 chars
Detector Agreement:75%

Website Classification

Primary Category

finance banking53% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1177.253.96.14Bogotá, Bogota D.C., Colombia
AS13489UNE EPM TELECOMUNICACIONES S.A.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
64--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E182A66A56F30471ED93906937EB978A7154D003DC0ACE297FDD47808FCA994A9A3BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:grglY2Q3Pq4RS216S+8p/9GE6LXJIHtDghqYWHB1rYwzclN+IeKdgWx65/ij5ut+:grahq7HzKit+I0qGN0GeYur8uBG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18351:AQEbqbCIAtAckCE3QASBWByFxiQaYCYSSSEBJQGzyGKSA2IBGWJOALEAoBKSehMCIAFBA2KNiKaDtkbhEUWgGcBjboQIgKEo

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:1818181818181818
Perceptual Hash:9933cc6699993333
Difference Hash:b2b2b2b2b2b2b2b2
Wavelet Hash:18181c1c1c1c1818
Color Hash:#2d9bd2

Other Hashes

Crop Resistant:8e961e602d0d80c4,0000000000000000,0000000000000000

Scan History

Scan history not available

Unable to load historical scan data