Security Scan Report: pichicrediopor.vercel.app

Submitted: Nov 6, 2025, 3:11:48 AMCompleted: Nov 6, 2025, 3:13:10 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is pichicrediopor.vercel.app and was registered NaN years ago.

Submitted URL: https://pichicrediopor.vercel.app/

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing site impersonating Banco Pichincha; do not enter credentials.

Risk Factors
Credential harvesting form (email + password) on a domain not owned by Banco Pichincha
Hidden password field obscured from view
Google Safe Browsing social engineering detection
Brand impersonation on an unranked domain
Domain age information unavailable

Details

Page Title

Solicitud - Tarjeta de Crédito

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

other

(71%)

Domain Information

Within the application-focused generic top-level domain (.app), 'pichicrediopor.vercel.app' is registered, featuring subdomain 'pichicrediopor'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside 4 consonants. Segmentation suggests two words: ver, cel. The median word length lands at three characters. The linguistic tilt is Portuguese for 'ver'. You may catch it in Portuguese (Brazil) and Galician as well.

Screenshot

Security scan screenshot of https://pichicrediopor.vercel.app/

Page Load Overview

48.15s
Total Load Time
7
HTTP Requests
3
Domains
192 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:411 chars
Detector Agreement:67%

Website Classification

Primary Category

other71% confidence
Type: static
Method: ml+structural

All Detected Categories

other
71%
legitimate website
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.186.74United States
AS15169GOOGLE
164.29.17.195United States
AS16509AMAZON-02
1216.58.206.67United States
AS15169GOOGLE
1216.198.79.195United States
AS16509AMAZON-02
12a00:1450:4001:82b::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a00:1450:4001:81c::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
76--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9B1C66B91E2043AEA43E0D917C2E2077060D417D405F994FA9CEA25DFC6E8286E3B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:0rkTofguwjExPfq31/snUaLO87K7M7uLHN3V/IsiT8xkHaGjAL:0rEofguwj0Pi3dwU2fgaujnwsQ84M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5203:VAxIQOACQBAEIxolgCUIAAIMwDQQhQAQoCQQRkAMYAIACcAQJBADQAWkAAGMSBCQAIAGABGkgeA4gAAEBbAgDEJ2agFIUAQE

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data