Security Scan Report: crese-con-tu-cupo.vercel.app

Submitted: Oct 1, 2026, 2:45:33 PMCompleted: Oct 1, 2026, 2:47:06 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Banco Pichincha credit page on a vercel.app subdomain impersonating the bank and harvesting personal identity data (name, cédula, phone) via a fraudulent loan application form.

Risk Factors (4)
Impersonation of Banco Pichincha financial brand on a non-official vercel.app subdomain
Harvests identity data (name, cédula, phone) with a fake credit pre-approval lure
Displays fabricated loan details ($10.372,00, 5.7% fixed rate, monthly payment) to build credibility
Unknown-age subdomain on shared hosting platform (could be created minutes ago)
Domain age information unavailable

Details

Page Title

Crédito en Línea - Banco Pichincha

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'crese-con-tu-cupo.vercel.app' is registered, featuring subdomain 'crese-con-tu-cupo'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Splitting it apart reveals two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://crese-con-tu-cupo.vercel.app/

Page Load Overview

3.13s
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
3216.198.79.131Aws · 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.
164.29.17.195Aws · 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

T10782A66A56F30471ED93906927EB978A7154D003CD0ACE297FDD47808FCA994ADA3BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:grglY2Q3Pq4RS216S+8p/9GE6LXJIHtDghqYWHB1rYwzclN+IeKdgWx65/k5utAX:grahq7HzKWt+I0qGN0GeYur8uBG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18351:AAgZKKjCAhF1gEU3KOChBDUAkvAKRmQSSY2V+RGjA5KOMGOCWXBOAYUSuACKSheCAgEJQ1rOTaTRElTADRUiSsArbEQIQQko

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:#2d864f

Scan History

Scan history not available

Unable to load historical scan data