Security Scan Report: serviemprende2026.vercel.app

Submitted: Aug 3, 2026, 3:45:41 AMCompleted: Aug 3, 2026, 3:51:06 AMpubliccompleted
Loading additional data...

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: 85%

8
Risk Score

The site impersonates Banco Pichincha, collects login credentials, and triggers a Safe Browsing social‑engineering alert, indicating a high‑risk phishing scam.

Risk Factors
Brand impersonation on a hosting platform subdomain
Credential harvesting form
Social engineering safe‑browsing alert
Unranked domain with unknown subdomain age
Domain age information unavailable

Details

Page Title

Solicitud de Tarjeta - Banco Pichincha

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

finance banking

(88%)

Domain Information

You're looking at domain 'serviemprende2026.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'serviemprende2026'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 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

Security scan screenshot of https://serviemprende2026.vercel.app/

Page Load Overview

2.95s
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 banking88% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

finance banking
88%
adult content
64%
news media journalism
47%
government public service
46%
healthcare medical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
520.209.1.65Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
123.55.161.196Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
154.192.35.30Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1198.72.127.136Montreal, Quebec, Canada
AS32613Leaseweb Canada Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
164.29.17.195United States
AS16509Amazon.com, Inc.
1104.18.3.157Cloudflare · WAFUnited States
AS13335Cloudflare, 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:#bf4440

Other Hashes

Crop Resistant:08b3b3b3b3b30d11

Scan History

Scan history not available

Unable to load historical scan data