Security Scan Report: leia-santander.vercel.app

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Submitted: Jul 12, 2026, 8:37:02 PMCompleted: Jul 12, 2026, 8:38:12 PMpubliccompleted
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Summary

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

Submitted URL: https://leia-santander.vercel.app/

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

The site impersonates Santander and triggers Safe Browsing phishing alerts, indicating a high‑risk phishing page.

Risk Factors
Safe Browsing phishing indicator
Brand impersonation on unrelated domain
Unranked subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

LikeU

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

e-commerce shopping

(94%)

Domain Information

The domain name 'leia-santander.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'leia-santander'. Count 6 characters in 'vercel' holding two vowels versus 4 consonants. Word splitting yields 2 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://leia-santander.vercel.app/

Page Load Overview

2.23s
Total Load Time
54
HTTP Requests
3
Domains
647 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:5,062 chars
Detector Agreement:50%

Website Classification

Primary Category

e-commerce shopping94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
94%
corporate business
90%
finance banking
86%
healthcare medical
85%
education learning
84%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2764.29.17.67United States
AS16509Amazon.com, Inc.
273.5.244.22Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
542--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19F33DA206E8047766AD34FDEF9E1F72FF062910EC317C8A8D6AC5246C3C9D448B65799

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:vYvHXQjlekfFPeBwGnTkRyieD+9fqCR25As32WWCeXnSq434m4w4KoksmqQp:+slWBy8Z88oNzfBmnp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55089:lVkcxxqvyEgMkARACCZDkEhLhkIEoFnpCAkQJXqpAShgDRzCAABEMACgokMTMidI9KwBQVKBAyuhOIM12AGRGAALgEAIgzAR

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:ff0123234b0038ff
Perceptual Hash:a126de59b0c6e9a9
Difference Hash:4befebcb9bd3d1c8
Wavelet Hash:ff0123274b0838ff
Color Hash:#c5878e

Scan History

Scan history not available

Unable to load historical scan data