Security Scan Report: serviemprende2026.vercel.app

Submitted: Aug 13, 2026, 3:50:52 AMCompleted: Aug 13, 2026, 3:53:01 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 2 HTTP transactions. The main domain is serviemprende2026.vercel.app and was registered NaN years ago.

Submitted URL: https://serviemprende2026.vercel.app/

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

High‑risk phishing site impersonating Banco Pichincha, collecting credentials on an unknown‑age Vercel subdomain.

Risk Factors
Brand impersonation on unknown‑age subdomain
Credential collection form
Unranked / low‑reputation domain
Social engineering Safe Browsing alert
Domain age information unavailable

Details

Page Title

Solicitud de Tarjeta - Banco Pichincha

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

finance banking

(85%)

Domain Information

The domain name 'serviemprende2026.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'serviemprende2026'. The core label 'vercel' covers 6 characters holding 2 vowels versus 4 consonants. Tokenizing the label suggests two 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://serviemprende2026.vercel.app/

Page Load Overview

0.95s
Total Load Time
11
HTTP Requests
7
Domains
331 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:1,243 chars
Detector Agreement:67%

Website Classification

Primary Category

finance banking85% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
85%
adult content
68%
government public service
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5184.24.77.66Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1216.198.79.67United States
AS16509Amazon.com, Inc.
120.209.1.65Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
1198.72.127.136Montreal, Quebec, Canada
AS32613Leaseweb Canada Inc.
1104.18.2.157Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
154.192.35.119Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
117--

Page Statistics

11
Requests
7
Unique Domains
339.4 KB
Total Size

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F82C41210F21456F55320B85BEA9B063E91C143DC06DA567EAC27D8AFC9C968BB3BDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:iOF1Ba8ILBEiNBj/gBoxLa9K5pZTKUZR8cbm5f7iEig8:HF1Ba8qBESBj/gBoBa9K5pZGUZR8cbmO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17763:kIYIJgxMKGAqoBAGUcLDSo4wBBSgKACSOUSCLAwWxRyFC6EdOQ0JYAJ8MggM8TQQ0oMQgbtCFCCIEUyY3FjA1ECADqKEB5Vc

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:ff18181818180000
Perceptual Hash:88cd32f699b38ccc
Difference Hash:08b3b3b3b3b30d11
Wavelet Hash:ffff191919190101
Color Hash:#7d6ce0

Other Hashes

Crop Resistant:08b3b3b3b3b30d11

Scan History

Scan history not available

Unable to load historical scan data