Summary
API
Submitted URL: https://solicita-ya.vercel.app/
AI Security Verdict
Confirmed Scam
Confidence: 88%
Fake Banco Pichincha loan page on an unranked vercel.app subdomain that harvests name, national ID and phone; flagged by Google Safe Browsing for social engineering. Do not enter any data.
Risk Factors (6)
Details
Page Title
Crédito en Línea - Banco Pichincha
Scan Type
public
Domain Name Analysis
You're looking at domain 'solicita-ya.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'solicita-ya'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 2 | 64.29.17.67Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 2 | 185.15.59.240 | United States | AS14907Wikimedia Foundation Inc. |
| 2 | 177.253.96.14 | Bogotá, Bogota D.C., Colombia | AS13489UNE EPM TELECOMUNICACIONES S.A. |
| 6 | 3 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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