Security Scan Report: www.pcpccpcececece.vercel.app

Redirected to:
https://pcpccpcececece.vercel.app/
Submitted: Oct 6, 2026, 1:45:07 PMCompleted: Oct 6, 2026, 1:45:45 PMpubliccompleted

This website contacted 7 IPs in 2 countries across 4 domains to perform 7 HTTP transactions. The main domain is pcpccpcececece.vercel.app and was registered 16 years ago.

Submitted URL: https://www.pcpccpcececece.vercel.app/

Effective URL:

https://pcpccpcececece.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Banco Pichincha credit page on a gibberish vercel.app subdomain harvesting full name, cédula and phone number. Not the bank's official domain; brand impersonation plus personal-data collection.

Risk Factors (6)
Impersonation of Banco Pichincha on a domain that is not the bank's official site
Collects cédula (national ID) and phone number under a fake credit offer
Random/gibberish subdomain name typical of phishing infrastructure
Unranked free-hosting subdomain with unknown creation date
IDS alerts flagging the abused cloud-hosting service domain
Visitor IP collection via api.ipify.org
Domain age information unavailable

Details

Page Title

Crédito en Línea - Banco Pichincha

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.pcpccpcececece.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'www.pcpccpcececece'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Segmentation suggests 2 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.pcpccpcececece.vercel.app/

Page Load Overview

4.08s
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%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · 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.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
77--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12782A66916F30471ED93906937EB978A7154D003DD0ACE297FDE47808FCA994A9A3BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:grglY2Q3Pq4RS216S+8p/9GE6LXJIHtDghqYWHB1rYuzclN+IeKdgWx65/95utAX:grahq7HrKDt+I0qGN0GeYur8uBG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18428:IiEVAHgcolkZUEATIEKQDD00UAVDkUwQUHWXAACTQlAgqUvSCOAnQhwD0gEeWhqCYADZAxCSAEVBohDiKEaWEuAQIkCAIBk6

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:#785b3a

Scan History

Scan history not available

Unable to load historical scan data