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

Submitted: Completed: publiccompleted
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

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake Banco Pichincha credit application on a vercel.app subdomain, flagged by Safe Browsing for social engineering; it harvests name, ID and phone data. Do not submit any information.

Risk Factors (6)
Google Safe Browsing Social Engineering detection
Impersonation of Banco Pichincha on a non-official vercel.app subdomain
Form harvesting personal identity data (name, cédula, phone) under a bank-branded loan lure
Hosting-platform subdomain with unknown creation date
Network IDS alerts for actor-abused cloud hosting service (vercel.app)
Page claims encrypted connection and pre-approved credit to build false trust
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) and includes subdomain 'tu-cupo-ec'. The registrable portion 'vercel' spans 6 characters with two vowels and four 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://tu-cupo-ec.vercel.app/

Page Load Overview

4.51s
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 banking46% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
46%

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.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
64--

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:#2d5886

Scan History

Scan history not available

Unable to load historical scan data