Security Scan Report: leia-santander.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 11 IPs in 2 countries across 3 domains to perform 53 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Non-official vercel.app page wearing Santander's name and card branding while soliciting phone numbers; single-source phishing report corroborates. No card/password form captured, but treat as brand impersonation — avoid.

Risk Factors (6)
Impersonation of Santander bank branding on a domain that is not santander.com.mx or another official Santander domain
Single-source phishing reputation report for the primary domain
Hosted as an instant subdomain on vercel.app with no verifiable creation date (age treated as unknown)
Phone-number lead capture combined with privacy-policy consent on a non-official brand page
Mixed placeholder/lorem ipsum and copied third-party marketing text indicating a fabricated template
Two IDS alerts flagging vercel.app as an actor-abused cloud hosting service (generic, corroborating only)
Domain age information unavailable

Details

Page Title

LikeU

Scan Type

public

Domain Name Analysis

The domain 'leia-santander.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'leia-santander'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Breaking it apart gives 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://leia-santander.vercel.app/

Page Load Overview

1.30s
Total Load Time
793 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:5,062 chars
Detector Agreement:50%

Website Classification

Primary Category

e-commerce shopping95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
95%
corporate business
91%
finance banking
85%
healthcare medical
85%
government public service
84%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
464.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
43.5.245.53Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
4104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
43.5.245.88Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
43.5.245.45Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
43.5.246.105Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
416.12.17.46Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
43.5.245.41Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
43.5.244.147Aws · CLOUDCity of London, England, United Kingdom
AS16509Amazon.com, Inc.
5311--

Detected Technologies7

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:N/A

Scan History

Scan history not available

Unable to load historical scan data