Security Scan Report: somos-ecuador.vercel.app

Submitted: Completed: publiccompleted
This website contacted 5 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://somos-ecuador.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 94%

9
Risk Score

Fake Banco Pichincha credit application on a free vercel.app subdomain harvesting cédula, name and phone; Safe Browsing flags social engineering. Do not enter data.

Risk Factors (7)
Impersonation of Banco Pichincha on a non-official vercel.app subdomain
Collection of national identity number (cédula) and phone number via a fake credit application
Google Safe Browsing Social Engineering detection
Single-source phishing threat-intelligence match on the primary domain
Domain unranked in Cisco Umbrella while claiming a major bank brand
IDS alerts for actor-abused cloud hosting (vercel.app) in DNS and TLS SNI
Cross-origin client IP lookup to api.ipify.org
Domain age information unavailable

Details

Page Title

Crédito en Línea - Banco Pichincha

Scan Type

public

Domain Name Analysis

The domain name 'somos-ecuador.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'somos-ecuador'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. It segments into 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

q BANCO PICHINCHA NS AS A Solicitud de Crédito Ingresa tus datos para verificar las ofertas de crédito disponibles para ti. Nombres y Apellidos completos | Ej. Juan Carlos Pérez ] Número de Céd...

Page Load Overview

5.47s
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:92%

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
3177.253.96.14Bogotá, Bogota D.C., Colombia
AS13489UNE EPM TELECOMUNICACIONES S.A.
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
65--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A82B66956F30471ED93906937EB978A7154D003CD0ACE297FDE47808FCA994A9A3BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:UrglY2Q3Pq4RS216S+8p/9GE6LXJIHtDghqYWHB1rYuzclN+IeKdgWx65/J5utAX:Urahq7HrKjt+I0qGN0GeYur8uBG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18413:DDYmICp7AISISUvFRZp5RA4EkBYkAICaCjkALAgFyphAFAMJpCF4AQUmsUgizkqIFECEZACCBRhszGJUtgBJFZOWQitE8okE

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:9933336633cccccc
Difference Hash:b2b2b2b2b2b2b2b2
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:31003008080

Scan History

Scan history not available

Unable to load historical scan data