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Security Scan Report: solisita-ya.vercel.app

Submitted: Completed: publiccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/f1f10034-9418-44ae-8252-8f2761b00973Domain and IP registration (RDAP)/api/v1/rdap/f1f10034-9418-44ae-8252-8f2761b00973How often this domain was scanned/api/v1/domain/stats/solisita-ya.vercel.appScan history for this domain/api/v1/domain/history/solisita-ya.vercel.app?limit=15
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://solisita-ya.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Bank-branded credit application on an unofficial vercel.app subdomain harvesting name, national ID and phone, flagged by Google Safe Browsing for social engineering — a Banco Pichincha impersonation scam.

Risk Factors (5)
Impersonation of Banco Pichincha on a non-official, unranked hosting subdomain
Google Safe Browsing Social Engineering detection
Data-harvesting form collecting national ID and phone under a bank brand
Unknown subdomain age on a platform where anyone can publish instantly
External IP-lookup callback from page script
Domain age information unavailable

Details

Page Title

Crédito en Línea - Banco Pichincha

Scan Type

public

Domain Name Analysis

The domain 'solisita-ya.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'solisita-ya'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://solisita-ya.vercel.app/

Page Load Overview

11.45s
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 banking37% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.195Aws · 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.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
64--

Detected Technologies2

Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A182A76916F30471ED83906937DB978A7154D003DD09CE697FDD47808FCA994A9A3BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:grglY2Q3Pq4RS216S+8p/9GE6LXJIHtDghqYWHB1rYuzclN+IeKdgWx65/lm5ut+:grahq7HrKQtt+I0qGN0GeYur8uBG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18428:Aai4LTqJgrgJwQAhBBYEEYyghkASwQQQXWSSHEXyULIECRoaELhvQwQClDIqWhWBAglCA3UlXaZQcDMwEAVwE6IxYAgggSIC

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:#c59087

Other Hashes

Crop Resistant:808c8c9e86860076,d618786c0d408080,b2b2b2b2b2b2b2b2

Scan History

Scan history not available

Unable to load historical scan data