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

Redirected to:
https://tu-cupo-ec.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

Effective URL:
https://tu-cupo-ec.vercel.app/
Redirected

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

You're looking at domain 'www.tu-cupo-ec.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'www.tu-cupo-ec'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside four consonants. Word splitting yields two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.tu-cupo-ec.vercel.app/

Page Load Overview

3.57s
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 banking54% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · 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.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
75--

Detected Technologies2

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:#2d8649

Scan History

Scan history not available

Unable to load historical scan data